Models
8 families, 15 variants, 222 fits. Each fit is a YAML record with parameters, quality metrics, and provenance; the audit forward-evaluates each committed fit on every CI run.
What the AIC ranking says
Across 91
findings with at least one model fit, the ranking is decisive on 51,
supported on 35, close on 19, and a single
candidate on 22.
The most-frequent finding-level winners are
logistic-4param (40), sdt-2afc (26), chronometric-hyperbolic-rt (10).
decisive 51 Best candidate beats the next AIC candidate by at least 10.
supported 35 Best candidate beats the next AIC candidate by at least 2.
close 19 Best candidate is within 2 AIC units of the next candidate.
single candidate 22 Only one AIC-ranked candidate is available for this finding.
Comparison-scope reference (6 terms)
Each AIC ranking is computed within a single likelihood scope so models with incompatible likelihoods aren't compared head-to-head.
- direct choice71
- Choice-proportion likelihoods fit to the same finding-level response curve.
- joint choice + RT30
- DDM fit whose AIC combines the psychometric likelihood with a paired aggregate chronometric term.
- chronometric summary15
- Descriptive median-RT-by-strength fit over chronometric summary points.
- accuracy summary4
- Descriptive p(correct)-by-strength fit over accuracy summary points.
- condition-rate baseline2
- Condition-invariant Bernoulli response-rate baseline for categorical hit-rate findings.
- click summary5
- Click-accumulator fit over curated click summary fields rather than a full raw-event likelihood.
Caveat tags (11 terms)
Tags attached to fits where a downstream interpretation needs context. Counts are over candidate fits across the index.
- aggregate DDM RT approximation30
- DDM likelihood uses aggregate chronometric constraints rather than a full trial-level response-time likelihood.
- chronometric-summary fit15
- Descriptive median-RT-by-strength fit over summary chronometric points, not a full reaction-time likelihood or process model.
- figure/source data8
- Fit is based on paper figure source data or summarized values, not a full public trial table.
- click-summary accumulator5
- Click accumulator fit is tied to the curated click summary fields rather than a full behavioral model audit against raw event streams.
- click-summary baseline5
- Same-scope baseline for the clicks task using per-subject choice-rate or signed click-count summaries.
- accuracy-summary fit4
- Fit is a descriptive p(correct)-by-strength model over accuracy summaries, not a signed-choice or reaction-time model.
- motion-duration RT proxy4
- Chronometric evidence comes from motion/stimulus duration summaries rather than observed reaction-time timestamps.
- target-coded choice proxy4
- Choice side was reconstructed from accuracy or target-coded rows, so it should not be treated as an observed motor choice.
- condition-rate null2
- One-parameter Bernoulli baseline over condition levels; useful for categorical or ordinal hit-rate curves without a sensory evidence axis.
- yes/no SDT1
- Signal-detection fit uses a go/no-go yes/no variant with one d-prime and one criterion, not a 2AFC choice rule.
- condition-rate saturated1
- Per-condition Bernoulli baseline over categorical or ordinal hit-rate levels; descriptive upper-bound, not a sensory evidence model.
Where do the data point?
Finding-level winners, close calls, caveated rows, and model-roadmap priorities grouped by task context before the reference tables.
Finding winners
91
41 decisive
Close calls
16
low AIC separation
Caveated rows
41
source or proxy caveats
Process winners
19
DDM, click, RT models
Task
Species
Curve
Winner
Confidence
Showing 91 of 91 finding-level winners.
Legend: source or proxy caveat tag (hover for full description) mixed AIC comparison scopes — the winner came from a different likelihood than the runners-up winner row in the same-likelihood ranking
- decisive · Δ 6703.5
Khalvati K, Kiani R, Rao RPN · accuracy_no_sure_target
Random-dot motion discrimination · Macaque random-dot motion confidence wagering task
WinnerLogisticAIC gap 6703.5ConfidenceCandidates 2SourcefigureCaveats 2!!- Winner
- chance-floor-accuracy-logistic
- Delta AIC
- 6703.5
- Scope
- accuracy summary
- Candidates
- 2
NHP accuracy by strength figure source data- accuracy-summary fit
- figure/source data
- decisive · Δ 4774.3
Khalvati K, Kiani R, Rao RPN · accuracy_sure_available_direction_chosen
Random-dot motion discrimination · Macaque random-dot motion confidence wagering task
WinnerLogisticAIC gap 4774.3ConfidenceCandidates 2SourcefigureCaveats 2!!- Winner
- chance-floor-accuracy-logistic
- Delta AIC
- 4774.3
- Scope
- accuracy summary
- Candidates
- 2
NHP accuracy by strength figure source data- accuracy-summary fit
- figure/source data
- decisive · Δ 4639.4
Fritsche M, Majumdar A, Strickland L, Liebana Garcia S, Bogacz R, Lak A · Repeating
Visual contrast discrimination · Mouse visual contrast wheel task with temporal regularities
WinnerLogisticAIC gap 4639.4ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 4639.4
- Scope
- direct choice
- Candidates
- 2
mouse psychometric processed trials - decisive · Δ 4559.9
Fritsche M, Majumdar A, Strickland L, Liebana Garcia S, Bogacz R, Lak A · Alternating
Visual contrast discrimination · Mouse visual contrast wheel task with temporal regularities
WinnerLogisticAIC gap 4559.9ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 4559.9
- Scope
- direct choice
- Candidates
- 2
mouse psychometric processed trials - decisive · Δ 3044.8
Khalvati K, Kiani R, Rao RPN · accuracy_no_sure_target
Random-dot motion discrimination · Macaque random-dot motion confidence wagering task
WinnerLogisticAIC gap 3044.8ConfidenceCandidates 2SourcefigureCaveats 2!!- Winner
- chance-floor-accuracy-logistic
- Delta AIC
- 3044.8
- Scope
- accuracy summary
- Candidates
- 2
NHP accuracy by strength figure source data- accuracy-summary fit
- figure/source data
- decisive · Δ 3040.3
Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG · cue=valid
Visual contrast discrimination · Human visual contrast 2AFC keyboard task
WinnerLogisticAIC gap 3040.3ConfidenceCandidates 5SourcetrialsCaveats 1! M- Winner
- logistic-4param
- Delta AIC
- 3040.3
- Scope
- direct choice
- Candidates
- 5
human psychometric processed trials mixed scopes - decisive · Δ 2289.1
Khalvati K, Kiani R, Rao RPN · accuracy_sure_available_direction_chosen
Random-dot motion discrimination · Macaque random-dot motion confidence wagering task
WinnerLogisticAIC gap 2289.1ConfidenceCandidates 2SourcefigureCaveats 2!!- Winner
- chance-floor-accuracy-logistic
- Delta AIC
- 2289.1
- Scope
- accuracy summary
- Candidates
- 2
NHP accuracy by strength figure source data- accuracy-summary fit
- figure/source data
- decisive · Δ 1955.3
Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG · cue=invalid
Visual contrast discrimination · Human visual contrast 2AFC keyboard task
WinnerLogisticAIC gap 1955.3ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 1955.3
- Scope
- direct choice
- Candidates
- 2
human psychometric processed trials - decisive · Δ 1095.3
Fritsche M, Majumdar A, Strickland L, Liebana Garcia S, Bogacz R, Lak A · Neutral
Visual contrast discrimination · Mouse visual contrast wheel task with temporal regularities
WinnerLogisticAIC gap 1095.3ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 1095.3
- Scope
- direct choice
- Candidates
- 2
mouse psychometric processed trials - decisive · Δ 934.4
Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG · cue=valid
Visual contrast discrimination · Human visual contrast 2AFC keyboard task
WinnerLogisticAIC gap 934.4ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 934.4
- Scope
- direct choice
- Candidates
- 2
human psychometric processed trials - decisive · Δ 769.5
Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG · cue=valid
Visual contrast discrimination · Human visual contrast 2AFC keyboard task
WinnerLogisticAIC gap 769.5ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 769.5
- Scope
- direct choice
- Candidates
- 2
human psychometric processed trials - decisive · Δ 415.8
The International Brain Laboratory et al · pooled
Visual contrast discrimination · IBL visual decision task
WinnerLogisticAIC gap 415.8ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 415.8
- Scope
- direct choice
- Candidates
- 2
mouse psychometric processed trials - decisive · Δ 275.5
Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG · cue=valid
Visual contrast discrimination · Human visual contrast 2AFC keyboard task
WinnerLogisticAIC gap 275.5ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 275.5
- Scope
- direct choice
- Candidates
- 2
human psychometric processed trials - decisive · Δ 249.6
London D · dbs=off
Auditory click evidence accumulation · Human auditory clicks button task
WinnerLogisticAIC gap 249.6ConfidenceCandidates 2SourcerawCaveats 0- Winner
- logistic-4param
- Delta AIC
- 249.6
- Scope
- direct choice
- Candidates
- 2
human psychometric raw trials - decisive · Δ 220.1
Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG · cue=valid
Visual contrast discrimination · Human visual contrast 2AFC keyboard task
WinnerLogisticAIC gap 220.1ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 220.1
- Scope
- direct choice
- Candidates
- 2
human psychometric processed trials - decisive · Δ 196.0
London D · dbs=on
Auditory click evidence accumulation · Human auditory clicks button task
WinnerLogisticAIC gap 196.0ConfidenceCandidates 2SourcerawCaveats 0- Winner
- logistic-4param
- Delta AIC
- 196.0
- Scope
- direct choice
- Candidates
- 2
human psychometric raw trials - decisive · Δ 130.1
Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG · cue=neutral
Visual contrast discrimination · Human visual contrast 2AFC keyboard task
WinnerLogisticAIC gap 130.1ConfidenceCandidates 5SourcetrialsCaveats 1! M- Winner
- logistic-4param
- Delta AIC
- 130.1
- Scope
- direct choice
- Candidates
- 5
human psychometric processed trials mixed scopes - decisive · Δ 124.9
Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG · cue=valid
Visual contrast discrimination · Human visual contrast 2AFC keyboard task
WinnerLogisticAIC gap 124.9ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 124.9
- Scope
- direct choice
- Candidates
- 2
human psychometric processed trials - decisive · Δ 111.3
The International Brain Laboratory et al · p_left=0.8
Visual contrast discrimination · IBL visual decision task
WinnerLogisticAIC gap 111.3ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 111.3
- Scope
- direct choice
- Candidates
- 2
mouse psychometric processed trials - decisive · Δ 109.7
Steinmetz NA, Zatka-Haas P, Carandini M, Harris KD · pooled
Visual contrast discrimination · Mouse unforced visual contrast wheel task
WinnerLogisticAIC gap 109.7ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 109.7
- Scope
- direct choice
- Candidates
- 2
mouse psychometric processed trials - decisive · Δ 86.2
Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG · cue=valid
Visual contrast discrimination · Human visual contrast 2AFC keyboard task
WinnerLogisticAIC gap 86.2ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 86.2
- Scope
- direct choice
- Candidates
- 2
human psychometric processed trials - decisive · Δ 81.0
Brunton BW, Botvinick MM, Brody CD · B075
Auditory click evidence accumulation · Rat auditory clicks nose-poke task
WinnerClicksAIC gap 81.0ConfidenceCandidates 5SourcetrialsCaveats 2!! M- Winner
- click-leaky-accumulator
- Delta AIC
- 81.0
- Scope
- click summary
- Candidates
- 5
rat psychometric processed trials mixed scopes- click-summary accumulator
- decisive · Δ 64.8
Garrett ME et al · 453911
Visual change detection (go/no-go) · Allen Visual Behavior change detection
WinnerRateAIC gap 64.8ConfidenceCandidates 2SourcerawCaveats 2!!- Winner
- bernoulli-condition-rate
- Delta AIC
- 64.8
- Scope
- condition-rate baseline
- Candidates
- 2
mouse hit rate by condition raw trials- condition-rate null
- decisive · Δ 61.1
The International Brain Laboratory et al · p_left=0.5
Visual contrast discrimination · IBL visual decision task
WinnerLogisticAIC gap 61.1ConfidenceCandidates 2SourcetrialsCaveats 0- Winner
- logistic-4param
- Delta AIC
- 61.1
- Scope
- direct choice
- Candidates
- 2
mouse psychometric processed trials
Showing first 24 matching winners; use the detailed table below for the full filtered workflow.
Winners by finding
Finding-level AIC winners alongside their scope-specific winners. Mixed-scope rows are useful for triage; scope-specific rows keep direct-choice, joint choice+RT, and summary likelihoods separate.
Showing 91 of 91 finding-level AIC winners; 36 mix multiple comparison scopes.
| Finding | Paper | Species | Stratification | Winner | AIC | Delta | Confidence | Scope | Comparability | Scope winners | Caveats |
|---|---|---|---|---|---|---|---|---|---|---|---|
| khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m1 accuracy by strength · Macaque random-dot motion confidence wagering task | Khalvati K, Kiani R, Rao RPN | non-human-primate | accuracy_no_sure_target | chance-floor-accuracy-logistic Accuracy psychometric · 2 candidates | 36378.8 | 6703.5 | decisive · Δ 6703.5 | accuracy summary | single scope
|
|
|
| khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m1 accuracy by strength · Macaque random-dot motion confidence wagering task | Khalvati K, Kiani R, Rao RPN | non-human-primate | accuracy_sure_available_direction_chosen | chance-floor-accuracy-logistic Accuracy psychometric · 2 candidates | 16588.3 | 4774.3 | decisive · Δ 4774.3 | accuracy summary | single scope
|
|
|
| fritsche-2024-temporal-regularities.psychometric.repeating psychometric · Mouse visual contrast wheel task with temporal regularities | Fritsche M, Majumdar A, Strickland L, Liebana Garcia S, Bogacz R, Lak A | mouse | Repeating | logistic-4param Logistic psychometric · 2 candidates | 43270.8 | 4639.4 | decisive · Δ 4639.4 | direct choice | single scope
|
| - |
| fritsche-2024-temporal-regularities.psychometric.alternating psychometric · Mouse visual contrast wheel task with temporal regularities | Fritsche M, Majumdar A, Strickland L, Liebana Garcia S, Bogacz R, Lak A | mouse | Alternating | logistic-4param Logistic psychometric · 2 candidates | 43213.0 | 4559.9 | decisive · Δ 4559.9 | direct choice | single scope
|
| - |
| khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m2 accuracy by strength · Macaque random-dot motion confidence wagering task | Khalvati K, Kiani R, Rao RPN | non-human-primate | accuracy_no_sure_target | chance-floor-accuracy-logistic Accuracy psychometric · 2 candidates | 28646.5 | 3044.8 | decisive · Δ 3044.8 | accuracy summary | single scope
|
|
|
| walsh-2024-prior-cue.psychometric.cue-valid psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 5 candidates | 31831.8 | 3040.3 | decisive · Δ 3040.3 | direct choice | mixed scopes
|
| - |
| khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m2 accuracy by strength · Macaque random-dot motion confidence wagering task | Khalvati K, Kiani R, Rao RPN | non-human-primate | accuracy_sure_available_direction_chosen | chance-floor-accuracy-logistic Accuracy psychometric · 2 candidates | 15175.6 | 2289.1 | decisive · Δ 2289.1 | accuracy summary | single scope
|
|
|
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-j psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | logistic-4param Logistic psychometric · 2 candidates | 494.1 | 1955.3 | decisive · Δ 1955.3 | direct choice | single scope
|
| - |
| fritsche-2024-temporal-regularities.psychometric.neutral psychometric · Mouse visual contrast wheel task with temporal regularities | Fritsche M, Majumdar A, Strickland L, Liebana Garcia S, Bogacz R, Lak A | mouse | Neutral | logistic-4param Logistic psychometric · 2 candidates | 224682.2 | 1095.3 | decisive · Δ 1095.3 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-f psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 1699.6 | 934.4 | decisive · Δ 934.4 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-h psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 2070.1 | 769.5 | decisive · Δ 769.5 | direct choice | single scope
|
| - |
| ibl-2025-brainwide-map.multi-session-psychometric psychometric · IBL visual decision task | The International Brain Laboratory et al | mouse | pooled | logistic-4param Logistic psychometric · 2 candidates | 4894.9 | 415.8 | decisive · Δ 415.8 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-i psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 2252.7 | 275.5 | decisive · Δ 275.5 | direct choice | single scope
|
| - |
| london-2018-poisson-clicks-dbs.dbs-off psychometric · Human auditory clicks button task | London D | human | dbs=off | logistic-4param Logistic psychometric · 2 candidates | 2447.2 | 249.6 | decisive · Δ 249.6 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-g psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 3835.7 | 220.1 | decisive · Δ 220.1 | direct choice | single scope
|
| - |
| london-2018-poisson-clicks-dbs.dbs-on psychometric · Human auditory clicks button task | London D | human | dbs=on | logistic-4param Logistic psychometric · 2 candidates | 2732.1 | 196.0 | decisive · Δ 196.0 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.cue-neutral psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | logistic-4param Logistic psychometric · 5 candidates | 11393.3 | 130.1 | decisive · Δ 130.1 | direct choice | mixed scopes
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-k psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 2746.1 | 124.9 | decisive · Δ 124.9 | direct choice | single scope
|
| - |
| ibl-2025-prior-map.multi-session-psychometric.p_left-0.8 psychometric · IBL visual decision task | The International Brain Laboratory et al | mouse | p_left=0.8 | logistic-4param Logistic psychometric · 2 candidates | 1927.9 | 111.3 | decisive · Δ 111.3 | direct choice | single scope
|
| - |
| steinmetz-2019-distributed-coding.choice-conditional-psychometric psychometric · Mouse unforced visual contrast wheel task | Steinmetz NA, Zatka-Haas P, Carandini M, Harris KD | mouse | pooled | logistic-4param Logistic psychometric · 2 candidates | 4935.1 | 109.7 | decisive · Δ 109.7 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-b psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 2170.0 | 86.2 | decisive · Δ 86.2 | direct choice | single scope
|
| - |
| brunton-2013-rats-humans.psychometric.subject.b075 psychometric · Rat auditory clicks nose-poke task | Brunton BW, Botvinick MM, Brody CD | rat | B075 | click-leaky-accumulator Click-rate accumulator · 5 candidates | 12175.8 | 81.0 | decisive · Δ 81.0 | click summary | mixed scopes
|
|
|
| garrett-2023-visual-behavior.hit-rate-by-image-pair hit rate by condition · Allen Visual Behavior change detection | Garrett ME et al | mouse | 453911 | bernoulli-condition-rate Bernoulli rate baseline · 2 candidates | 260.6 | 64.8 | decisive · Δ 64.8 | condition-rate baseline | single scope
|
|
|
| ibl-2025-prior-map.multi-session-psychometric.p_left-0.5 psychometric · IBL visual decision task | The International Brain Laboratory et al | mouse | p_left=0.5 | logistic-4param Logistic psychometric · 2 candidates | 741.7 | 61.1 | decisive · Δ 61.1 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-f psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | logistic-4param Logistic psychometric · 2 candidates | 963.1 | 59.2 | decisive · Δ 59.2 | direct choice | single scope
|
| - |
| garrett-2023-visual-behavior.yes-no-change-detection hit rate by condition · Allen Visual Behavior change detection | Garrett ME et al | mouse | yes_no_change_detection | sdt-yes-no Signal detection theory · 2 candidates | 282.9 | 58.5 | decisive · Δ 58.5 | direct choice | mixed scopes
|
|
|
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-e psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 2073.7 | 56.2 | decisive · Δ 56.2 | direct choice | single scope
|
| - |
| brunton-2013-rats-humans.psychometric.subject.a080 psychometric · Rat auditory clicks nose-poke task | Brunton BW, Botvinick MM, Brody CD | rat | A080 | click-leaky-accumulator Click-rate accumulator · 5 candidates | 14020.9 | 56.1 | decisive · Δ 56.1 | click summary | mixed scopes
|
|
|
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-a psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 3304.1 | 56.1 | decisive · Δ 56.1 | direct choice | single scope
|
| - |
| zatka-haas-2021-sensory-coding-causal-impact.choice-conditional-psychometric psychometric · Mouse unforced visual contrast wheel task | Zatka-Haas P, Steinmetz NA, Carandini M, Harris KD | mouse | pooled | logistic-4param Logistic psychometric · 2 candidates | 7828.9 | 52.3 | decisive · Δ 52.3 | direct choice | single scope
|
| - |
| ibl-2025-prior-map.multi-session-psychometric.p_left-0.2 psychometric · IBL visual decision task | The International Brain Laboratory et al | mouse | p_left=0.2 | logistic-4param Logistic psychometric · 2 candidates | 1934.6 | 42.8 | decisive · Δ 42.8 | direct choice | single scope
|
| - |
| brunton-2013-rats-humans.psychometric.subject.b127 psychometric · Rat auditory clicks nose-poke task | Brunton BW, Botvinick MM, Brody CD | rat | B127 | logistic-4param Logistic psychometric · 5 candidates | 13765.6 | 35.6 | decisive · Δ 35.6 | direct choice | mixed scopes
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-i psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | logistic-4param Logistic psychometric · 2 candidates | 762.2 | 35.2 | decisive · Δ 35.2 | direct choice | single scope
|
| - |
| brunton-2013-rats-humans.psychometric.subject.t014 psychometric · Rat auditory clicks nose-poke task | Brunton BW, Botvinick MM, Brody CD | rat | T014 | logistic-4param Logistic psychometric · 5 candidates | 14339.3 | 31.8 | decisive · Δ 31.8 | direct choice | mixed scopes
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-c psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 2617.7 | 30.7 | decisive · Δ 30.7 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-l psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | sdt-2afc Signal detection theory · 2 candidates | 1086.6 | 29.3 | decisive · Δ 29.3 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-k psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | logistic-4param Logistic psychometric · 2 candidates | 760.6 | 12.6 | decisive · Δ 12.6 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-f psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | logistic-4param Logistic psychometric · 2 candidates | 1237.0 | 12.5 | decisive · Δ 12.5 | direct choice | single scope
|
| - |
| khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 psychometric · Macaque random-dot motion confidence wagering task | Khalvati K, Kiani R, Rao RPN | non-human-primate | accuracy_no_sure_target | logistic-4param Logistic psychometric · 3 candidates | 28654.3 | 10.4 | decisive · Δ 10.4 | direct choice | mixed scopes
|
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|
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-g psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | sdt-2afc Signal detection theory · 2 candidates | 1220.1 | 10.2 | decisive · Δ 10.2 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-l psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 2329.6 | 10.0 | decisive · Δ 10.0 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-i psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | logistic-4param Logistic psychometric · 2 candidates | 913.4 | 8.6 | supported · Δ 8.6 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-e psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | sdt-2afc Signal detection theory · 2 candidates | 1056.2 | 7.1 | supported · Δ 7.1 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-h psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | sdt-2afc Signal detection theory · 2 candidates | 1219.6 | 6.8 | supported · Δ 6.8 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-b psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | sdt-2afc Signal detection theory · 2 candidates | 1376.1 | 6.7 | supported · Δ 6.7 | direct choice | single scope
|
| - |
| roitman-shadlen-2002.psychometric.subject.monkey-1 psychometric · Classic macaque random-dot motion discrimination | Roitman JD, Shadlen MN | non-human-primate | monkey-1 | sdt-2afc Signal detection theory · 3 candidates | 1926.9 | 6.6 | supported · Δ 6.6 | direct choice | mixed scopes
|
| - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-ah psychometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-ah | sdt-2afc Signal detection theory · 3 candidates | 283.1 | 6.2 | supported · Δ 6.2 | direct choice | mixed scopes
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-d psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | sdt-2afc Signal detection theory · 2 candidates | 923.4 | 6.1 | supported · Δ 6.1 | direct choice | single scope
|
| - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-jd psychometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-jd | sdt-2afc Signal detection theory · 3 candidates | 310.4 | 5.8 | supported · Δ 5.8 | direct choice | mixed scopes
|
| - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-eh psychometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-eh | sdt-2afc Signal detection theory · 3 candidates | 462.2 | 5.8 | supported · Δ 5.8 | direct choice | mixed scopes
|
| - |
| ibl-2021-standardized.psychometric.p_left-0.2 psychometric · IBL visual decision task | The International Brain Laboratory et al | mouse | p_left=0.2 | logistic-4param Logistic psychometric · 2 candidates | 196.1 | 5.8 | supported · Δ 5.8 | direct choice | single scope
|
| - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-mk psychometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-mk | sdt-2afc Signal detection theory · 3 candidates | 326.9 | 5.7 | supported · Δ 5.7 | direct choice | mixed scopes
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-h psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | logistic-4param Logistic psychometric · 2 candidates | 899.4 | 5.4 | supported · Δ 5.4 | direct choice | single scope
|
| - |
| roitman-shadlen-2002.psychometric.subject.monkey-2 psychometric · Classic macaque random-dot motion discrimination | Roitman JD, Shadlen MN | non-human-primate | monkey-2 | logistic-4param Logistic psychometric · 3 candidates | 2432.3 | 5.1 | supported · Δ 5.1 | direct choice | mixed scopes
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-a psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | sdt-2afc Signal detection theory · 2 candidates | 1232.7 | 4.7 | supported · Δ 4.7 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-k psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | sdt-2afc Signal detection theory · 2 candidates | 848.4 | 4.5 | supported · Δ 4.5 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-l psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | sdt-2afc Signal detection theory · 2 candidates | 876.5 | 4.2 | supported · Δ 4.2 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.cue-invalid psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | sdt-2afc Signal detection theory · 5 candidates | 13313.4 | 4.2 | supported · Δ 4.2 | direct choice | mixed scopes
|
| - |
| ibl-2021-standardized.psychometric.p_left-0.5 psychometric · IBL visual decision task | The International Brain Laboratory et al | mouse | p_left=0.5 | sdt-2afc Signal detection theory · 2 candidates | 62.1 | 4.1 | supported · Δ 4.1 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-c psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | sdt-2afc Signal detection theory · 2 candidates | 714.6 | 4.0 | supported · Δ 4.0 | direct choice | single scope
|
| - |
| khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 chronometric · Macaque random-dot motion confidence wagering task | Khalvati K, Kiani R, Rao RPN | non-human-primate | accuracy_no_sure_target | chronometric-constant-rt Descriptive chronometric · 3 candidates | 2.0 | 4.0 | supported · Δ 4.0 | chronometric summary | mixed scopes
|
|
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| walsh-2024-prior-cue.chronometric.cue-valid chronometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | chronometric-constant-rt Descriptive chronometric · 5 candidates | 18.8 | 4.0 | supported · Δ 4.0 | chronometric summary | mixed scopes
|
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| walsh-2024-prior-cue.chronometric.cue-invalid chronometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | chronometric-constant-rt Descriptive chronometric · 5 candidates | 15.6 | 4.0 | supported · Δ 4.0 | chronometric summary | mixed scopes
|
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| walsh-2024-prior-cue.chronometric.cue-neutral chronometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | chronometric-constant-rt Descriptive chronometric · 5 candidates | 13.9 | 4.0 | supported · Δ 4.0 | chronometric summary | mixed scopes
|
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| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-j psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | sdt-2afc Signal detection theory · 2 candidates | 518.7 | 4.0 | supported · Δ 4.0 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-j psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | sdt-2afc Signal detection theory · 2 candidates | 1581.4 | 4.0 | supported · Δ 4.0 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-e psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | sdt-2afc Signal detection theory · 2 candidates | 992.8 | 3.9 | supported · Δ 3.9 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-a psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | sdt-2afc Signal detection theory · 2 candidates | 1108.4 | 3.8 | supported · Δ 3.8 | direct choice | single scope
|
| - |
| khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 chronometric · Macaque random-dot motion confidence wagering task | Khalvati K, Kiani R, Rao RPN | non-human-primate | accuracy_no_sure_target | chronometric-constant-rt Descriptive chronometric · 3 candidates | 3.2 | 3.6 | supported · Δ 3.6 | chronometric summary | mixed scopes
|
|
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| palmer-huk-shadlen-2005.psychometric.subject.phs-jp psychometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-jp | sdt-2afc Signal detection theory · 3 candidates | 295.2 | 3.5 | supported · Δ 3.5 | direct choice | mixed scopes
|
| - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-mm psychometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-mm | sdt-2afc Signal detection theory · 3 candidates | 452.4 | 3.2 | supported · Δ 3.2 | direct choice | mixed scopes
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-c psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | sdt-2afc Signal detection theory · 2 candidates | 838.0 | 2.9 | supported · Δ 2.9 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-d psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | logistic-4param Logistic psychometric · 2 candidates | 3065.6 | 2.8 | supported · Δ 2.8 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-d psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | sdt-2afc Signal detection theory · 2 candidates | 934.1 | 2.3 | supported · Δ 2.3 | direct choice | single scope
|
| - |
| ibl-2021-standardized.psychometric.p_left-0.8 psychometric · IBL visual decision task | The International Brain Laboratory et al | mouse | p_left=0.8 | logistic-4param Logistic psychometric · 2 candidates | 266.2 | 2.1 | supported · Δ 2.1 | direct choice | single scope
|
| - |
| roitman-shadlen-2002.chronometric.subject.monkey-1 chronometric · Classic macaque random-dot motion discrimination | Roitman JD, Shadlen MN | non-human-primate | monkey-1 | chronometric-hyperbolic-rt Descriptive chronometric · 3 candidates | 6.0 | 2.0 | close · Δ 2.0 | chronometric summary | mixed scopes
|
|
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| palmer-huk-shadlen-2005.chronometric.subject.phs-ah chronometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-ah | chronometric-hyperbolic-rt Descriptive chronometric · 3 candidates | 6.1 | 1.9 | close · Δ 1.9 | chronometric summary | mixed scopes
|
|
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| roitman-shadlen-2002.chronometric chronometric · Classic macaque random-dot motion discrimination | Roitman JD, Shadlen MN | non-human-primate | pooled | chronometric-hyperbolic-rt Descriptive chronometric · 5 candidates | 6.1 | 1.9 | close · Δ 1.9 | chronometric summary | mixed scopes
|
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| palmer-huk-shadlen-2005.chronometric chronometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | pooled | chronometric-hyperbolic-rt Descriptive chronometric · 5 candidates | 6.1 | 1.9 | close · Δ 1.9 | chronometric summary | mixed scopes
|
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| palmer-huk-shadlen-2005.chronometric.subject.phs-jd chronometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-jd | chronometric-hyperbolic-rt Descriptive chronometric · 3 candidates | 6.1 | 1.9 | close · Δ 1.9 | chronometric summary | mixed scopes
|
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| roitman-shadlen-2002.chronometric.subject.monkey-2 chronometric · Classic macaque random-dot motion discrimination | Roitman JD, Shadlen MN | non-human-primate | monkey-2 | chronometric-hyperbolic-rt Descriptive chronometric · 3 candidates | 6.1 | 1.9 | close · Δ 1.9 | chronometric summary | mixed scopes
|
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| khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 psychometric · Macaque random-dot motion confidence wagering task | Khalvati K, Kiani R, Rao RPN | non-human-primate | accuracy_no_sure_target | logistic-4param Logistic psychometric · 3 candidates | 36236.9 | 1.8 | close · Δ 1.8 | direct choice | mixed scopes
|
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| palmer-huk-shadlen-2005.chronometric.subject.phs-mk chronometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-mk | chronometric-hyperbolic-rt Descriptive chronometric · 3 candidates | 6.2 | 1.8 | close · Δ 1.8 | chronometric summary | mixed scopes
|
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| palmer-huk-shadlen-2005.chronometric.subject.phs-jp chronometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-jp | chronometric-hyperbolic-rt Descriptive chronometric · 3 candidates | 6.2 | 1.8 | close · Δ 1.8 | chronometric summary | mixed scopes
|
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| palmer-huk-shadlen-2005.chronometric.subject.phs-eh chronometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-eh | chronometric-hyperbolic-rt Descriptive chronometric · 3 candidates | 6.3 | 1.8 | close · Δ 1.8 | chronometric summary | mixed scopes
|
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| palmer-huk-shadlen-2005.chronometric.subject.phs-mm chronometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | phs-mm | chronometric-hyperbolic-rt Descriptive chronometric · 3 candidates | 6.3 | 1.7 | close · Δ 1.7 | chronometric summary | mixed scopes
|
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| roitman-shadlen-2002.psychometric psychometric · Classic macaque random-dot motion discrimination | Roitman JD, Shadlen MN | non-human-primate | pooled | sdt-2afc Signal detection theory · 5 candidates | 4372.2 | 0.4 | close · Δ 0.4 | direct choice | mixed scopes
|
| - |
| palmer-huk-shadlen-2005.psychometric psychometric · Human random-dot motion button reaction-time task | Palmer J, Huk AC, Shadlen MN | human | pooled | ddm-vanilla Drift-diffusion model · 5 candidates | 2238.2 | 0.4 | close · Δ 0.4 | joint choice + RT | mixed scopes
|
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| brunton-2013-rats-humans.psychometric.subject.t074 psychometric · Rat auditory clicks nose-poke task | Brunton BW, Botvinick MM, Brody CD | rat | T074 | click-leaky-accumulator Click-rate accumulator · 5 candidates | 13163.3 | 0.3 | close · Δ 0.3 | click summary | mixed scopes
|
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| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-b psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | logistic-4param Logistic psychometric · 2 candidates | 1155.3 | 0.3 | close · Δ 0.3 | direct choice | single scope
|
| - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-g psychometric · Human visual contrast 2AFC keyboard task | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | logistic-4param Logistic psychometric · 2 candidates | 1144.5 | 0.0 | close · Δ 0.0 | direct choice | single scope
|
| - |
How decisive are the calls?
Rows are finding-by-comparison-scope groups; columns are model classes. Each filled cell is the best AIC candidate in that class within the same likelihood scope. Scope winners marked in green.
Showing 127 of 127 scope-matched AIC rows.
| Finding | Confidence | Accuracy | Rate null | Chronometric | Logistic | SDT 2AFC | DDM | Clicks | Yes/no |
|---|---|---|---|---|---|---|---|---|---|
| palmer-huk-shadlen-2005.chronometric human chronometric trial-backed | close 3 candidates joint choice + RT | - | - | - | - | - | 2238.2 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.psychometric human psychometric trial-backed | close 3 candidates joint choice + RT | - | - | - | - | - | 2238.2 dAIC 0.0
| - | - |
| roitman-shadlen-2002.chronometric non-human-primate chronometric trial-backed | close 3 candidates joint choice + RT | - | - | - | - | - | 4373.4 dAIC 0.0
| - | - |
| roitman-shadlen-2002.psychometric non-human-primate psychometric trial-backed | close 3 candidates joint choice + RT | - | - | - | - | - | 4373.4 dAIC 0.0
| - | - |
| walsh-2024-prior-cue.chronometric.cue-invalid Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human chronometric trial-backed | close 3 candidates joint choice + RT | - | - | - | - | - | 13336.5 dAIC 0.0
| - | - |
| walsh-2024-prior-cue.psychometric.cue-invalid Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | close 3 candidates joint choice + RT | - | - | - | - | - | 13336.5 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.chronometric human chronometric trial-backed | close 2 candidates chronometric summary | - | - | 6.1 dAIC 0.0
| - | - | - | - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-ah human chronometric trial-backed | close 2 candidates chronometric summary | - | - | 6.1 dAIC 0.0
| - | - | - | - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-eh human chronometric trial-backed | close 2 candidates chronometric summary | - | - | 6.3 dAIC 0.0
| - | - | - | - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-jd human chronometric trial-backed | close 2 candidates chronometric summary | - | - | 6.1 dAIC 0.0
| - | - | - | - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-jp human chronometric trial-backed | close 2 candidates chronometric summary | - | - | 6.2 dAIC 0.0
| - | - | - | - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-mk human chronometric trial-backed | close 2 candidates chronometric summary | - | - | 6.2 dAIC 0.0
| - | - | - | - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-mm human chronometric trial-backed | close 2 candidates chronometric summary | - | - | 6.3 dAIC 0.0
| - | - | - | - | - |
| roitman-shadlen-2002.chronometric non-human-primate chronometric trial-backed | close 2 candidates chronometric summary | - | - | 6.1 dAIC 0.0
| - | - | - | - | - |
| roitman-shadlen-2002.chronometric.subject.monkey-1 non-human-primate chronometric trial-backed | close 2 candidates chronometric summary | - | - | 6.0 dAIC 0.0
| - | - | - | - | - |
| roitman-shadlen-2002.chronometric.subject.monkey-2 non-human-primate chronometric trial-backed | close 2 candidates chronometric summary | - | - | 6.1 dAIC 0.0
| - | - | - | - | - |
| roitman-shadlen-2002.psychometric non-human-primate psychometric trial-backed | close 2 candidates direct choice | - | - | - | 4372.6 dAIC 0.4 | 4372.2 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-b Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | close 2 candidates direct choice | - | - | - | 1155.3 dAIC 0.0 | 1155.6 dAIC 0.3 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-g Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | close 2 candidates direct choice | - | - | - | 1144.5 dAIC 0.0 | 1144.6 dAIC 0.0 | - | - | - |
| garrett-2023-visual-behavior.yes-no-change-detection mouse hit rate by condition trial-backed | single candidate 1 candidates direct choice | - | - | - | - | - | - | - | 282.9 dAIC 0.0
|
| garrett-2023-visual-behavior.yes-no-change-detection mouse hit rate by condition trial-backed | single candidate 1 candidates condition-rate baseline | - | 341.4 dAIC 0.0
| - | - | - | - | - | - |
| khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 non-human-primate chronometric proxy-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 36238.7 dAIC 0.0
| - | - |
| khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 non-human-primate chronometric proxy-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 28686.5 dAIC 0.0
| - | - |
| khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 non-human-primate psychometric proxy-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 36238.7 dAIC 0.0
| - | - |
| khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 non-human-primate psychometric proxy-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 28686.5 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-ah human chronometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 295.6 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-eh human chronometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 468.0 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-jd human chronometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 321.8 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-jp human chronometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 301.2 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-mk human chronometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 332.7 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.chronometric.subject.phs-mm human chronometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 460.2 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-ah human psychometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 295.6 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-eh human psychometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 468.0 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-jd human psychometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 321.8 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-jp human psychometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 301.2 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-mk human psychometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 332.7 dAIC 0.0
| - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-mm human psychometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 460.2 dAIC 0.0
| - | - |
| roitman-shadlen-2002.chronometric.subject.monkey-1 non-human-primate chronometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 1935.0 dAIC 0.0
| - | - |
| roitman-shadlen-2002.chronometric.subject.monkey-2 non-human-primate chronometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 2440.1 dAIC 0.0
| - | - |
| roitman-shadlen-2002.psychometric.subject.monkey-1 non-human-primate psychometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 1935.0 dAIC 0.0
| - | - |
| roitman-shadlen-2002.psychometric.subject.monkey-2 non-human-primate psychometric trial-backed | single candidate 1 candidates joint choice + RT | - | - | - | - | - | 2440.1 dAIC 0.0
| - | - |
| ibl-2021-standardized.psychometric.p_left-0.2 The International Brain Laboratory et al mouse psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 196.1 dAIC 0.0 | 201.8 dAIC 5.8 | - | - | - |
| ibl-2021-standardized.psychometric.p_left-0.5 The International Brain Laboratory et al mouse psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 66.2 dAIC 4.1 | 62.1 dAIC 0.0 | - | - | - |
| ibl-2021-standardized.psychometric.p_left-0.8 The International Brain Laboratory et al mouse psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 266.2 dAIC 0.0 | 268.3 dAIC 2.1 | - | - | - |
| khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 non-human-primate chronometric proxy-backed | supported 2 candidates chronometric summary | - | - | 6.0 dAIC 4.0
| - | - | - | - | - |
| khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 non-human-primate chronometric proxy-backed | supported 2 candidates chronometric summary | - | - | 6.8 dAIC 3.6
| - | - | - | - | - |
| palmer-huk-shadlen-2005.psychometric human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 2238.6 dAIC 0.0 | 2247.0 dAIC 8.4 | - | - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-ah human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 289.3 dAIC 6.2 | 283.1 dAIC 0.0 | - | - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-eh human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 468.1 dAIC 5.9 | 462.2 dAIC 0.0 | - | - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-jd human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 316.3 dAIC 5.8 | 310.4 dAIC 0.0 | - | - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-jp human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 298.6 dAIC 3.5 | 295.2 dAIC 0.0 | - | - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-mk human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 332.9 dAIC 5.9 | 326.9 dAIC 0.0 | - | - | - |
| palmer-huk-shadlen-2005.psychometric.subject.phs-mm human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 455.5 dAIC 3.2 | 452.4 dAIC 0.0 | - | - | - |
| roitman-shadlen-2002.psychometric.subject.monkey-1 non-human-primate psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 1933.5 dAIC 6.6 | 1926.9 dAIC 0.0 | - | - | - |
| roitman-shadlen-2002.psychometric.subject.monkey-2 non-human-primate psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 2432.3 dAIC 0.0 | 2437.4 dAIC 5.1 | - | - | - |
| walsh-2024-prior-cue.chronometric.cue-invalid Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human chronometric trial-backed | supported 2 candidates chronometric summary | - | - | 19.6 dAIC 4.0
| - | - | - | - | - |
| walsh-2024-prior-cue.chronometric.cue-neutral Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human chronometric trial-backed | supported 2 candidates chronometric summary | - | - | 17.9 dAIC 4.0
| - | - | - | - | - |
| walsh-2024-prior-cue.chronometric.cue-valid Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human chronometric trial-backed | supported 2 candidates chronometric summary | - | - | 22.8 dAIC 4.0
| - | - | - | - | - |
| walsh-2024-prior-cue.psychometric.cue-invalid Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 13317.6 dAIC 4.2 | 13313.4 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-a Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 1237.5 dAIC 4.7 | 1232.7 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-b Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 1382.8 dAIC 6.7 | 1376.1 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-c Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 840.9 dAIC 2.9 | 838.0 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-d Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 929.5 dAIC 6.1 | 923.4 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-e Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 1063.3 dAIC 7.1 | 1056.2 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-h Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 1226.4 dAIC 6.8 | 1219.6 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-i Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 913.4 dAIC 0.0 | 922.0 dAIC 8.6 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-k Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 852.9 dAIC 4.5 | 848.4 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-a Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 1112.3 dAIC 3.8 | 1108.4 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-c Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 718.6 dAIC 4.0 | 714.6 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-d Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 936.4 dAIC 2.3 | 934.1 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-e Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 996.8 dAIC 3.9 | 992.8 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-h Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 899.4 dAIC 0.0 | 904.8 dAIC 5.4 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-j Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 522.7 dAIC 4.0 | 518.7 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-l Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 880.7 dAIC 4.2 | 876.5 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-d Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 3065.6 dAIC 0.0 | 3068.4 dAIC 2.8 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-j Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | supported 2 candidates direct choice | - | - | - | 1585.4 dAIC 4.0 | 1581.4 dAIC 0.0 | - | - | - |
| brunton-2013-rats-humans.psychometric.subject.a080 Brunton BW, Botvinick MM, Brody CD rat psychometric trial-backed | decisive 3 candidates click summary | - | - | - | - | - | - | 14020.9 dAIC 0.0
| - |
| brunton-2013-rats-humans.psychometric.subject.b075 Brunton BW, Botvinick MM, Brody CD rat psychometric trial-backed | decisive 3 candidates click summary | - | - | - | - | - | - | 12175.8 dAIC 0.0
| - |
| brunton-2013-rats-humans.psychometric.subject.b127 Brunton BW, Botvinick MM, Brody CD rat psychometric trial-backed | decisive 3 candidates click summary | - | - | - | - | - | - | 13801.1 dAIC 0.0
| - |
| brunton-2013-rats-humans.psychometric.subject.t014 Brunton BW, Botvinick MM, Brody CD rat psychometric trial-backed | decisive 3 candidates click summary | - | - | - | - | - | - | 14371.1 dAIC 0.0
| - |
| brunton-2013-rats-humans.psychometric.subject.t074 Brunton BW, Botvinick MM, Brody CD rat psychometric trial-backed | decisive 3 candidates click summary | - | - | - | - | - | - | 13163.3 dAIC 0.0
| - |
| walsh-2024-prior-cue.chronometric.cue-neutral Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human chronometric trial-backed | decisive 3 candidates joint choice + RT | - | - | - | - | - | 11523.4 dAIC 0.0
| - | - |
| walsh-2024-prior-cue.chronometric.cue-valid Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human chronometric trial-backed | decisive 3 candidates joint choice + RT | - | - | - | - | - | 34872.2 dAIC 0.0
| - | - |
| walsh-2024-prior-cue.psychometric.cue-neutral Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 3 candidates joint choice + RT | - | - | - | - | - | 11523.4 dAIC 0.0
| - | - |
| walsh-2024-prior-cue.psychometric.cue-valid Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 3 candidates joint choice + RT | - | - | - | - | - | 34872.2 dAIC 0.0
| - | - |
| brunton-2013-rats-humans.psychometric.subject.a080 Brunton BW, Botvinick MM, Brody CD rat psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 14078.8 dAIC 0.0 | 14204.2 dAIC 125.4 | - | - | - |
| brunton-2013-rats-humans.psychometric.subject.b075 Brunton BW, Botvinick MM, Brody CD rat psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 12256.9 dAIC 0.0 | 12375.3 dAIC 118.5 | - | - | - |
| brunton-2013-rats-humans.psychometric.subject.b127 Brunton BW, Botvinick MM, Brody CD rat psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 13765.6 dAIC 0.0 | 14307.6 dAIC 542.1 | - | - | - |
| brunton-2013-rats-humans.psychometric.subject.t014 Brunton BW, Botvinick MM, Brody CD rat psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 14339.3 dAIC 0.0 | 14502.6 dAIC 163.3 | - | - | - |
| brunton-2013-rats-humans.psychometric.subject.t074 Brunton BW, Botvinick MM, Brody CD rat psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 13163.6 dAIC 0.0 | 13405.6 dAIC 242.0 | - | - | - |
| fritsche-2024-temporal-regularities.psychometric.alternating Fritsche M, Majumdar A, Strickland L, Liebana Garcia S, Bogacz R, Lak A mouse psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 43213.0 dAIC 0.0 | 47772.9 dAIC 4559.9 | - | - | - |
| fritsche-2024-temporal-regularities.psychometric.neutral Fritsche M, Majumdar A, Strickland L, Liebana Garcia S, Bogacz R, Lak A mouse psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 224682.2 dAIC 0.0 | 225777.5 dAIC 1095.3 | - | - | - |
| fritsche-2024-temporal-regularities.psychometric.repeating Fritsche M, Majumdar A, Strickland L, Liebana Garcia S, Bogacz R, Lak A mouse psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 43270.8 dAIC 0.0 | 47910.3 dAIC 4639.4 | - | - | - |
| garrett-2023-visual-behavior.hit-rate-by-image-pair mouse hit rate by condition trial-backed | decisive 2 candidates condition-rate baseline | - | 260.6 dAIC 0.0
| - | - | - | - | - | - |
| ibl-2025-brainwide-map.multi-session-psychometric The International Brain Laboratory et al mouse psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 4894.9 dAIC 0.0 | 5310.7 dAIC 415.8 | - | - | - |
| ibl-2025-prior-map.multi-session-psychometric.p_left-0.2 The International Brain Laboratory et al mouse psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 1934.6 dAIC 0.0 | 1977.4 dAIC 42.8 | - | - | - |
| ibl-2025-prior-map.multi-session-psychometric.p_left-0.5 The International Brain Laboratory et al mouse psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 741.7 dAIC 0.0 | 802.8 dAIC 61.1 | - | - | - |
| ibl-2025-prior-map.multi-session-psychometric.p_left-0.8 The International Brain Laboratory et al mouse psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 1927.9 dAIC 0.0 | 2039.2 dAIC 111.3 | - | - | - |
| khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m1 non-human-primate accuracy by strength proxy-backed | decisive 2 candidates accuracy summary | 36378.8 dAIC 0.0
| - | - | - | - | - | - | - |
| khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m2 non-human-primate accuracy by strength proxy-backed | decisive 2 candidates accuracy summary | 28646.5 dAIC 0.0
| - | - | - | - | - | - | - |
| khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m1 non-human-primate accuracy by strength proxy-backed | decisive 2 candidates accuracy summary | 16588.3 dAIC 0.0
| - | - | - | - | - | - | - |
| khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m2 non-human-primate accuracy by strength proxy-backed | decisive 2 candidates accuracy summary | 15175.6 dAIC 0.0
| - | - | - | - | - | - | - |
| khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 non-human-primate psychometric proxy-backed | decisive 2 candidates direct choice | - | - | - | 36236.9 dAIC 0.0
| 36264.9 dAIC 28.0
| - | - | - |
| khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 non-human-primate psychometric proxy-backed | decisive 2 candidates direct choice | - | - | - | 28654.3 dAIC 0.0
| 28664.7 dAIC 10.4
| - | - | - |
| london-2018-poisson-clicks-dbs.dbs-off human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 2447.2 dAIC 0.0 | 2696.8 dAIC 249.6 | - | - | - |
| london-2018-poisson-clicks-dbs.dbs-on human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 2732.1 dAIC 0.0 | 2928.2 dAIC 196.0 | - | - | - |
| steinmetz-2019-distributed-coding.choice-conditional-psychometric Steinmetz NA, Zatka-Haas P, Carandini M, Harris KD mouse psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 4935.1 dAIC 0.0 | 5044.8 dAIC 109.7 | - | - | - |
| walsh-2024-prior-cue.psychometric.cue-neutral Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 11393.3 dAIC 0.0 | 11525.4 dAIC 132.1 | - | - | - |
| walsh-2024-prior-cue.psychometric.cue-valid Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 31831.8 dAIC 0.0 | 35466.1 dAIC 3634.3 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-f Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 1237.0 dAIC 0.0 | 1249.5 dAIC 12.5 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-g Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 1230.3 dAIC 10.2 | 1220.1 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-j Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 494.1 dAIC 0.0 | 2449.3 dAIC 1955.3 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-l Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 1115.9 dAIC 29.3 | 1086.6 dAIC 0.0 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-f Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 963.1 dAIC 0.0 | 1022.3 dAIC 59.2 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-i Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 762.2 dAIC 0.0 | 797.4 dAIC 35.2 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-k Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 760.6 dAIC 0.0 | 773.2 dAIC 12.6 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-a Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 3304.1 dAIC 0.0 | 3360.2 dAIC 56.1 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-b Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 2170.0 dAIC 0.0 | 2256.3 dAIC 86.2 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-c Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 2617.7 dAIC 0.0 | 2648.4 dAIC 30.7 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-e Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 2073.7 dAIC 0.0 | 2129.9 dAIC 56.2 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-f Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 1699.6 dAIC 0.0 | 2634.0 dAIC 934.4 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-g Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 3835.7 dAIC 0.0 | 4055.8 dAIC 220.1 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-h Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 2070.1 dAIC 0.0 | 2839.5 dAIC 769.5 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-i Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 2252.7 dAIC 0.0 | 2528.3 dAIC 275.5 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-k Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 2746.1 dAIC 0.0 | 2870.9 dAIC 124.9 | - | - | - |
| walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-l Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG human psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 2329.6 dAIC 0.0 | 2339.6 dAIC 10.0 | - | - | - |
| zatka-haas-2021-sensory-coding-causal-impact.choice-conditional-psychometric Zatka-Haas P, Steinmetz NA, Carandini M, Harris KD mouse psychometric trial-backed | decisive 2 candidates direct choice | - | - | - | 7828.9 dAIC 0.0 | 7881.2 dAIC 52.3 | - | - | - |
Click any variant label in a cell to open its family definition, parameters, and sibling variants in a side drawer.
How does evidence accumulation differ?
25 drift-diffusion fits across 2 species and 3 variants. Strip plot shows drift, boundary, and non-decision time; points coloured by paper, shaped by variant.
DDM fit table
| Variant | Paper | Species | Subject / cond. | k | a | t0 (s) | z | v0 | AIC |
|---|---|---|---|---|---|---|---|---|---|
| ddm-drift-bias | Palmer J, Huk AC, Shadlen MN | human | — | 0.2601 | 0.917 | 0.407 | — | 0.008 | 2239.2 |
| ddm-drift-bias | Roitman JD, Shadlen MN | non-human-primate | — | 0.2104 | 0.974 | 0.410 | — | 0.044 | 4373.4 |
| ddm-drift-bias | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | 0.0050 | 0.703 | 0.745 | — | 1.244 | 13336.6 |
| ddm-drift-bias | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | 0.0876 | 0.835 | 0.705 | — | 1.245 | 11523.4 |
| ddm-drift-bias | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | 0.1692 | 0.896 | 0.680 | — | 0.834 | 34956.2 |
| ddm-starting-point-bias | Palmer J, Huk AC, Shadlen MN | human | — | 0.2394 | 0.998 | 0.409 | 0.502 | — | 2240.2 |
| ddm-starting-point-bias | Roitman JD, Shadlen MN | non-human-primate | — | 0.1940 | 1.057 | 0.410 | 0.509 | — | 4374.2 |
| ddm-starting-point-bias | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | 0.0046 | 0.764 | 0.649 | 0.706 | — | 13336.5 |
| ddm-starting-point-bias | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | 0.1073 | 0.668 | 0.705 | 0.723 | — | 11569.4 |
| ddm-starting-point-bias | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | 0.2036 | 0.763 | 0.680 | 0.651 | — | 34872.2 |
| ddm-vanilla | Khalvati K, Kiani R, Rao RPN | non-human-primate | kiani-shadlen-m1 | 2.0161 | 0.045 | 0.228 | — | — | 36238.7 |
| ddm-vanilla | Khalvati K, Kiani R, Rao RPN | non-human-primate | kiani-shadlen-m2 | 2.0833 | 0.023 | 0.242 | — | — | 28686.5 |
| ddm-vanilla | Palmer J, Huk AC, Shadlen MN | human | — | 0.2394 | 0.998 | 0.409 | — | — | 2238.2 |
| ddm-vanilla | Palmer J, Huk AC, Shadlen MN | human | phs-ah | 0.2710 | 1.417 | 0.357 | — | — | 295.6 |
| ddm-vanilla | Palmer J, Huk AC, Shadlen MN | human | phs-eh | 0.1379 | 1.044 | 0.434 | — | — | 468.0 |
| ddm-vanilla | Palmer J, Huk AC, Shadlen MN | human | phs-jd | 0.3790 | 0.915 | 0.372 | — | — | 321.8 |
| ddm-vanilla | Palmer J, Huk AC, Shadlen MN | human | phs-jp | 0.3246 | 1.125 | 0.398 | — | — | 301.2 |
| ddm-vanilla | Palmer J, Huk AC, Shadlen MN | human | phs-mk | 0.3247 | 0.990 | 0.386 | — | — | 332.7 |
| ddm-vanilla | Palmer J, Huk AC, Shadlen MN | human | phs-mm | 0.1785 | 0.867 | 0.494 | — | — | 460.2 |
| ddm-vanilla | Roitman JD, Shadlen MN | non-human-primate | — | 0.1939 | 1.057 | 0.410 | — | — | 4373.4 |
| ddm-vanilla | Roitman JD, Shadlen MN | non-human-primate | monkey-1 | 0.2036 | 0.925 | 0.444 | — | — | 1935.0 |
| ddm-vanilla | Roitman JD, Shadlen MN | non-human-primate | monkey-2 | 0.1819 | 1.208 | 0.358 | — | — | 2440.1 |
| ddm-vanilla | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=invalid | 0.0000 | 0.001 | 0.745 | — | — | 15301.0 |
| ddm-vanilla | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=neutral | 0.0900 | 0.656 | 0.705 | — | — | 13667.9 |
| ddm-vanilla | Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG | human | cue=valid | 0.1864 | 0.747 | 0.680 | — | — | 37864.9 |
Vanilla, z-bias, and v-bias variants free different parameters; z and v0 columns only have values when the variant frees that parameter. See Walsh bias-locus comparison for the AIC verdict per cue.
What's still missing?
Findings without competing fits, single-candidate winners, proxy-backed wins, and slice capabilities one requirement away from supporting a variant. Roadmap of next-best work lives on /project-health.
No fits 0
Single candidate 0
Proxy backed 8
Near-miss slices 13
Findings with no fits
| Finding | Paper | Source |
|---|
Single-candidate findings
| Finding | Only winner | Source |
|---|
Proxy-backed findings
| Finding | Proxy caveats |
|---|---|
| khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m1 non-human-primate · accuracy_by_strength |
|
| khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m2 non-human-primate · accuracy_by_strength |
|
| khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m1 non-human-primate · accuracy_by_strength |
|
| khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m2 non-human-primate · accuracy_by_strength |
|
| khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 non-human-primate · chronometric |
|
| khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 non-human-primate · chronometric |
|
| khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 non-human-primate · psychometric |
|
| khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 non-human-primate · psychometric |
|
Near-miss slice capabilities
| Slice | Variant | Missing |
|---|---|---|
| allen-visual-behavior-neuropixels 732 trials · 1 subjects | accuracy-rate-null | stimulus_value |
| allen-visual-behavior-neuropixels 732 trials · 1 subjects | chance-floor-accuracy-logistic | stimulus_value |
| allen-visual-behavior-neuropixels 732 trials · 1 subjects | chronometric-constant-rt | stimulus_value |
| allen-visual-behavior-neuropixels 732 trials · 1 subjects | chronometric-hyperbolic-rt | stimulus_value |
| rodgers-whisker-object-recognition 173 trials · 1 subjects | accuracy-rate-null | stimulus_value |
| rodgers-whisker-object-recognition 173 trials · 1 subjects | chance-floor-accuracy-logistic | stimulus_value |
| rodgers-whisker-object-recognition 173 trials · 1 subjects | chronometric-constant-rt | stimulus_value |
| rodgers-whisker-object-recognition 173 trials · 1 subjects | chronometric-hyperbolic-rt | stimulus_value |
| rodgers-whisker-object-recognition 173 trials · 1 subjects | ddm-drift-bias | stimulus_value |
| rodgers-whisker-object-recognition 173 trials · 1 subjects | ddm-starting-point-bias | stimulus_value |
| rodgers-whisker-object-recognition 173 trials · 1 subjects | ddm-vanilla | stimulus_value |
| rodgers-whisker-object-recognition 173 trials · 1 subjects | logistic-4param | stimulus_value |
| rodgers-whisker-object-recognition 173 trials · 1 subjects | sdt-2afc | stimulus_value |
Which slices can which models fit?
Mapping from canonical-trial coverage in each slice's harmonized trials.csv to the variants whose data requirements it satisfies. Slices with empty fittability lack the right canonical fields (RT, signed choice, click times) or need adapter fixes.
| Slice | Trials | Subjects | Capabilities | Fittable variants |
|---|---|---|---|---|
| slice.allen-visual-behavior | 654 | 1 |
|
|
| slice.allen-visual-behavior-neuropixels | 732 | 1 |
|
|
| slice.auditory-clicks | 0 | 0 | | — |
| slice.coen-audiovisual-spatial-wheel | 299 | 1 |
|
|
| slice.fritsche-temporal-regularities | 269,168 | 17 |
|
|
| slice.human-auditory-clicks-dbs | 5,085 | 8 |
|
|
| slice.human-random-dot-motion | 3,373 | 6 |
|
|
| slice.human-visual-contrast-prior-cue | 66,200 | 12 |
|
|
| slice.ibl-brainwide-map-behavior | 569 | 1 |
|
|
| slice.ibl-visual-decision | 569 | 1 |
|
|
| slice.macaque-rdm-confidence-wager | 174,160 | 2 |
|
|
| slice.mouse-visual-contrast-unbiased | 646 | 1 |
|
|
| slice.odoemene-visual-accumulation | 0 | 0 | | — |
| slice.random-dot-motion | 6,149 | 2 |
|
|
| slice.rodgers-whisker-object-recognition | 173 | 1 |
| — |
| slice.steinmetz-visual-decision | 0 | 0 | | — |
| slice.zatka-haas-visual-decision | 10,054 | 6 |
|
|
Known requirements: stimulus_value, choice_lr, choice_go_withhold, correct_outcome, response_time, prior_context, click_times, subject_id
Reference: families, variants, fits
The model definitions and the raw fit list. Both are deep reference and start collapsed; expand only when you need the lookup.
Families & variants (8 families · 15 variants)
Accuracy psychometric
accuracy_by_strengthmodel_family.accuracy-psychometric
Descriptive psychometric models for percent-correct or p(correct) summaries as a function of unsigned stimulus strength. These models preserve the distinction between an accuracy curve and a signed-choice psychometric: they estimate sensitivity-like shape parameters without reconstructing left/right choices or response times.
Parameters
- threshold threshold_strength [same as stimulus strength]
- slope slope_log2 [log2 stimulus strength]
- lapse lapse [probability]
- chance chance_floor [probability]
- p_correct accuracy_rate [probability]
Requires
- stimulus_value
- correct_outcome
Variants (2)
- model_variant.accuracy-rate-null — Strength-invariant accuracy null free=[accuracy_rate]
- model_variant.chance-floor-accuracy-logistic — Chance-floor log-strength accuracy logistic free=[threshold_strength, slope_log2, lapse]
Bernoulli rate baseline
hit_rate_by_conditionmodel_family.bernoulli-rate
Bernoulli response-rate baselines for binary outcome summaries. The condition-invariant variant estimates one probability shared across all displayed condition levels, while the condition-saturated variant estimates one probability per condition. These are baselines for hit-rate-by-condition findings whose x axis is categorical or ordinal rather than a signed evidence axis.
Parameters
- p response_rate [probability]
- p_i condition_response_rates [probability]
Requires
- choice_go_withhold
Variants (2)
- model_variant.bernoulli-condition-rate — Condition-invariant Bernoulli rate free=[response_rate]
- model_variant.bernoulli-condition-saturated — Condition-saturated Bernoulli rate free=[condition_response_rates]
Descriptive chronometric
chronometricmodel_family.chronometric-descriptive
Descriptive models for median response time as a function of unsigned evidence strength. These models provide chronometric baselines without committing to a sequential-sampling process or a full reaction-time likelihood.
Parameters
- floor rt_floor [seconds]
- span rt_span [seconds]
- h half_saturation_strength [same as stimulus strength]
- rt0 rt_level [seconds]
Requires
- stimulus_value
- response_time
Variants (2)
- model_variant.chronometric-constant-rt — Constant median RT null free=[rt_level]
- model_variant.chronometric-hyperbolic-rt — Hyperbolic median RT baseline free=[rt_floor, rt_span, half_saturation_strength]
Click-rate accumulator
psychometricmodel_family.click-rate-accumulator
Brunton-style continuous-time evidence accumulator for the Poisson clicks task. Each click contributes an impulse to a hidden integrator that may leak (λ) and is bounded; the observer reports the sign of the integrator at the end of the click train (or, for free-response variants, when a bound is hit). Distinct from DDM because the evidence is a stream of discrete events whose rate is the stimulus, not a continuous signed value. Supports leaky vs. linear (perfect) integration as competing variants.
Parameters
- B input_gain [integrator units per click]
- λ leak [1 / seconds]
- σ_a noise_input [integrator units per √second]
- σ_s noise_accumulator [integrator units per √second]
- b bias [integrator units]
- λ_lapse lapse [probability]
Requires
- choice_lr
- click_times
Variants (1)
- model_variant.click-leaky-accumulator — Leaky click accumulator (Brunton) free=[input_gain, leak, noise_input, noise_accumulator, bias, lapse]
Click-summary choice baselines
psychometricmodel_family.click-summary-choice
Same-scope baseline models for Poisson clicks findings. These models use per-subject click-task trial rows but summarize the evidence as either an overall choice rate or a signed right-minus-left click-count difference, making them direct comparators for richer click-accumulator fits without invoking full click-timing dynamics.
Parameters
- p_right response_rate [probability]
- beta sensitivity [1 / click]
- b bias [clicks]
- lambda_lapse lapse [probability]
Requires
- choice_lr
- click_times
- subject_id
Variants (2)
- model_variant.click-choice-rate-null — Click choice-rate null free=[response_rate]
- model_variant.click-count-logistic — Signed click-count logistic free=[sensitivity, bias, lapse]
Drift-diffusion model
psychometric, chronometric, rt_distributionmodel_family.drift-diffusion
Single-accumulator DDM for two-alternative forced choice. Evidence accumulates as a Wiener process with drift v toward two absorbing bounds at ±a/2 (or 0 / a depending on parameterization); the observer reports the bound that gets hit first. Non-decision time t0 captures pre/post-decision latency. Predicts both choice probability and the full RT distribution from the closed-form first-passage time density (Navarro & Fuss, 2009). Variants extend with lapse, starting-point bias, drift bias, across-trial variability, and collapsing bounds.
Parameters
- v drift_rate [arbitrary per second]
- a boundary [arbitrary]
- t0 non_decision_time [seconds]
- z starting_point [fraction of boundary]
- v0 drift_bias [arbitrary per second]
- λ lapse [probability]
- k drift_per_unit_evidence [drift per unit stimulus_value]
Requires
- stimulus_value
- choice_lr
- response_time
Variants (3)
- model_variant.ddm-drift-bias — DDM with drift bias (k, a, t0, v0) free=[drift_per_unit_evidence, boundary, non_decision_time, drift_bias]
- model_variant.ddm-starting-point-bias — DDM with starting-point bias (k, a, t0, z) free=[drift_per_unit_evidence, boundary, non_decision_time, starting_point]
- model_variant.ddm-vanilla — Vanilla DDM (k, a, t0) free=[drift_per_unit_evidence, boundary, non_decision_time]
Logistic psychometric
psychometricmodel_family.logistic
Standard 4-parameter logistic psychometric. Probability of choosing the positive alternative as a function of signed evidence. Treats lapse as symmetric (γ on the lower asymptote, λ on the upper). Used as a task-agnostic baseline that doesn't take a stand on accumulator dynamics; gives a slope, threshold, and lapse readout that's directly comparable across paradigms.
Parameters
- μ bias [same as stimulus_value]
- σ slope [same as stimulus_value]
- γ lower_lapse [probability]
- λ upper_lapse [probability]
Requires
- stimulus_value
- choice_lr
Variants (1)
- model_variant.logistic-4param — 4-parameter logistic free=[bias, slope, lower_lapse, upper_lapse]
Signal detection theory
psychometric, hit_rate_by_conditionmodel_family.signal-detection
Equal-variance Gaussian signal detection theory. Each stimulus value produces an internal evidence sample drawn from a normal distribution centered on a strength-dependent mean; the observer compares the sample to a fixed criterion. d′ = separation between signal and noise distributions in noise units. The standard summary for psychometric tasks where you don't care about response time and don't want to commit to an accumulator.
Parameters
- d′ d_prime [noise standard deviations]
- c criterion [noise standard deviations]
Requires
- stimulus_value
- choice_lr
- choice_go_withhold
Variants (2)
- model_variant.sdt-2afc — 2AFC equal-variance Gaussian free=[d_prime, criterion]
- model_variant.sdt-yes-no — Yes/no equal-variance Gaussian free=[d_prime, criterion]
All fits (222 rows)
| Fit | Variant | Findings | logL | AIC | n_trials |
|---|---|---|---|---|---|
| model_fit.accuracy-rate-null.khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m1 | model_variant.accuracy-rate-null | finding.khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m1 | -21540.13354631672 | 43082.26709263344 | 37209 |
| model_fit.accuracy-rate-null.khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m2 | model_variant.accuracy-rate-null | finding.khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m2 | -15844.685495908978 | 31691.370991817956 | 25300 |
| model_fit.accuracy-rate-null.khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m1 | model_variant.accuracy-rate-null | finding.khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m1 | -10680.306295404278 | 21362.612590808556 | 22613 |
| model_fit.accuracy-rate-null.khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m2 | model_variant.accuracy-rate-null | finding.khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m2 | -8731.32408007032 | 17464.64816014064 | 15572 |
| model_fit.bernoulli-condition-rate.garrett-2023-visual-behavior.hit-rate-by-image-pair | model_variant.bernoulli-condition-rate | finding.garrett-2023-visual-behavior.hit-rate-by-image-pair | -129.31237814463776 | 260.6247562892755 | 236 |
| model_fit.bernoulli-condition-rate.garrett-2023-visual-behavior.yes-no-change-detection | model_variant.bernoulli-condition-rate | finding.garrett-2023-visual-behavior.yes-no-change-detection | -169.70395663663237 | 341.40791327326474 | 270 |
| model_fit.bernoulli-condition-saturated.garrett-2023-visual-behavior.hit-rate-by-image-pair | model_variant.bernoulli-condition-saturated | finding.garrett-2023-visual-behavior.hit-rate-by-image-pair | -106.7301823357128 | 325.4603646714256 | 236 |
| model_fit.chance-floor-accuracy-logistic.khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m1 | model_variant.chance-floor-accuracy-logistic | finding.khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m1 | -18186.38667550847 | 36378.77335101694 | 37209 |
| model_fit.chance-floor-accuracy-logistic.khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m2 | model_variant.chance-floor-accuracy-logistic | finding.khalvati-kiani-rao-2021.accuracy.accuracy-no-sure-target.m2 | -14320.27211295289 | 28646.54422590578 | 25300 |
| model_fit.chance-floor-accuracy-logistic.khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m1 | model_variant.chance-floor-accuracy-logistic | finding.khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m1 | -8291.174100755723 | 16588.348201511446 | 22613 |
| model_fit.chance-floor-accuracy-logistic.khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m2 | model_variant.chance-floor-accuracy-logistic | finding.khalvati-kiani-rao-2021.accuracy.accuracy-sure-available-direction-chosen.m2 | -7584.782100049436 | 15175.564200098872 | 15572 |
| model_fit.chronometric-constant-rt.khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 | model_variant.chronometric-constant-rt | finding.khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 | 0 | 2 | 37209 |
| model_fit.chronometric-constant-rt.khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 | model_variant.chronometric-constant-rt | finding.khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 | -0.599022242965834 | 3.1980444859316677 | 25300 |
| model_fit.chronometric-constant-rt.palmer-huk-shadlen-2005.chronometric | model_variant.chronometric-constant-rt | finding.palmer-huk-shadlen-2005.chronometric | -3.0086122341320145 | 8.017224468264029 | 3373 |
| model_fit.chronometric-constant-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-ah | model_variant.chronometric-constant-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-ah | -3.0208461359685836 | 8.041692271937167 | 554 |
| model_fit.chronometric-constant-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-eh | model_variant.chronometric-constant-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-eh | -3.0378125422654936 | 8.075625084530987 | 560 |
| model_fit.chronometric-constant-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-jd | model_variant.chronometric-constant-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-jd | -2.9903833709320446 | 7.980766741864089 | 567 |
| model_fit.chronometric-constant-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-jp | model_variant.chronometric-constant-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-jp | -3.0210553467380064 | 8.042110693476012 | 555 |
| model_fit.chronometric-constant-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-mk | model_variant.chronometric-constant-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-mk | -2.9901954090420833 | 7.9803908180841665 | 573 |
| model_fit.chronometric-constant-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-mm | model_variant.chronometric-constant-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-mm | -2.998124635583416 | 7.996249271166832 | 564 |
| model_fit.chronometric-constant-rt.roitman-shadlen-2002.chronometric | model_variant.chronometric-constant-rt | finding.roitman-shadlen-2002.chronometric | -3.003663717010731 | 8.007327434021462 | 6149 |
| model_fit.chronometric-constant-rt.roitman-shadlen-2002.chronometric.subject.monkey-1 | model_variant.chronometric-constant-rt | finding.roitman-shadlen-2002.chronometric.subject.monkey-1 | -3.005474166882776 | 8.010948333765551 | 2615 |
| model_fit.chronometric-constant-rt.roitman-shadlen-2002.chronometric.subject.monkey-2 | model_variant.chronometric-constant-rt | finding.roitman-shadlen-2002.chronometric.subject.monkey-2 | -3.0032136676551433 | 8.006427335310287 | 3534 |
| model_fit.chronometric-constant-rt.walsh-2024-prior-cue.chronometric.cue-invalid | model_variant.chronometric-constant-rt | finding.walsh-2024-prior-cue.chronometric.cue-invalid | -6.808972747241275 | 15.61794549448255 | 10985 |
| model_fit.chronometric-constant-rt.walsh-2024-prior-cue.chronometric.cue-neutral | model_variant.chronometric-constant-rt | finding.walsh-2024-prior-cue.chronometric.cue-neutral | -5.940890240882656 | 13.881780481765311 | 10960 |
| model_fit.chronometric-constant-rt.walsh-2024-prior-cue.chronometric.cue-valid | model_variant.chronometric-constant-rt | finding.walsh-2024-prior-cue.chronometric.cue-valid | -8.404353374672699 | 18.808706749345397 | 44255 |
| model_fit.chronometric-hyperbolic-rt.khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 | model_variant.chronometric-hyperbolic-rt | finding.khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 | -1.8690939663497783e-7 | 6.000000373818794 | 37209 |
| model_fit.chronometric-hyperbolic-rt.khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 | model_variant.chronometric-hyperbolic-rt | finding.khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 | -0.4069191118196758 | 6.813838223639352 | 25300 |
| model_fit.chronometric-hyperbolic-rt.palmer-huk-shadlen-2005.chronometric | model_variant.chronometric-hyperbolic-rt | finding.palmer-huk-shadlen-2005.chronometric | -0.05358988132368573 | 6.107179762647371 | 3373 |
| model_fit.chronometric-hyperbolic-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-ah | model_variant.chronometric-hyperbolic-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-ah | -0.04587081063882471 | 6.09174162127765 | 554 |
| model_fit.chronometric-hyperbolic-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-eh | model_variant.chronometric-hyperbolic-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-eh | -0.14561817334079769 | 6.291236346681595 | 560 |
| model_fit.chronometric-hyperbolic-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-jd | model_variant.chronometric-hyperbolic-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-jd | -0.04132719463230261 | 6.082654389264605 | 567 |
| model_fit.chronometric-hyperbolic-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-jp | model_variant.chronometric-hyperbolic-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-jp | -0.11631551097855251 | 6.232631021957105 | 555 |
| model_fit.chronometric-hyperbolic-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-mk | model_variant.chronometric-hyperbolic-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-mk | -0.08020473841273464 | 6.160409476825469 | 573 |
| model_fit.chronometric-hyperbolic-rt.palmer-huk-shadlen-2005.chronometric.subject.phs-mm | model_variant.chronometric-hyperbolic-rt | finding.palmer-huk-shadlen-2005.chronometric.subject.phs-mm | -0.13922901030523133 | 6.278458020610462 | 564 |
| model_fit.chronometric-hyperbolic-rt.roitman-shadlen-2002.chronometric | model_variant.chronometric-hyperbolic-rt | finding.roitman-shadlen-2002.chronometric | -0.03080579803246518 | 6.06161159606493 | 6149 |
| model_fit.chronometric-hyperbolic-rt.roitman-shadlen-2002.chronometric.subject.monkey-1 | model_variant.chronometric-hyperbolic-rt | finding.roitman-shadlen-2002.chronometric.subject.monkey-1 | -0.020034831842882857 | 6.040069663685766 | 2615 |
| model_fit.chronometric-hyperbolic-rt.roitman-shadlen-2002.chronometric.subject.monkey-2 | model_variant.chronometric-hyperbolic-rt | finding.roitman-shadlen-2002.chronometric.subject.monkey-2 | -0.07131673991559648 | 6.142633479831193 | 3534 |
| model_fit.chronometric-hyperbolic-rt.walsh-2024-prior-cue.chronometric.cue-invalid | model_variant.chronometric-hyperbolic-rt | finding.walsh-2024-prior-cue.chronometric.cue-invalid | -6.80897274724129 | 19.61794549448258 | 10985 |
| model_fit.chronometric-hyperbolic-rt.walsh-2024-prior-cue.chronometric.cue-neutral | model_variant.chronometric-hyperbolic-rt | finding.walsh-2024-prior-cue.chronometric.cue-neutral | -5.940890240882669 | 17.88178048176534 | 10960 |
| model_fit.chronometric-hyperbolic-rt.walsh-2024-prior-cue.chronometric.cue-valid | model_variant.chronometric-hyperbolic-rt | finding.walsh-2024-prior-cue.chronometric.cue-valid | -8.404353374672722 | 22.808706749345443 | 44255 |
| model_fit.click-choice-rate-null.brunton-2013-rats-humans.psychometric.subject.a080 | model_variant.click-choice-rate-null | finding.brunton-2013-rats-humans.psychometric.subject.a080 | -8439.010701464878 | 16880.021402929757 | 12175 |
| model_fit.click-choice-rate-null.brunton-2013-rats-humans.psychometric.subject.b075 | model_variant.click-choice-rate-null | finding.brunton-2013-rats-humans.psychometric.subject.b075 | -7822.16588831238 | 15646.33177662476 | 11285 |
| model_fit.click-choice-rate-null.brunton-2013-rats-humans.psychometric.subject.b127 | model_variant.click-choice-rate-null | finding.brunton-2013-rats-humans.psychometric.subject.b127 | -8908.608983721726 | 17819.217967443452 | 12855 |
| model_fit.click-choice-rate-null.brunton-2013-rats-humans.psychometric.subject.t014 | model_variant.click-choice-rate-null | finding.brunton-2013-rats-humans.psychometric.subject.t014 | -9391.561737885253 | 18785.123475770506 | 13617 |
| model_fit.click-choice-rate-null.brunton-2013-rats-humans.psychometric.subject.t074 | model_variant.click-choice-rate-null | finding.brunton-2013-rats-humans.psychometric.subject.t074 | -7824.381666675674 | 15650.763333351348 | 11290 |
| model_fit.click-count-logistic.brunton-2013-rats-humans.psychometric.subject.a080 | model_variant.click-count-logistic | finding.brunton-2013-rats-humans.psychometric.subject.a080 | -7035.507886565999 | 14077.015773131998 | 12175 |
| model_fit.click-count-logistic.brunton-2013-rats-humans.psychometric.subject.b075 | model_variant.click-count-logistic | finding.brunton-2013-rats-humans.psychometric.subject.b075 | -6126.853415875019 | 12259.706831750038 | 11285 |
| model_fit.click-count-logistic.brunton-2013-rats-humans.psychometric.subject.b127 | model_variant.click-count-logistic | finding.brunton-2013-rats-humans.psychometric.subject.b127 | -6929.026458246836 | 13864.052916493672 | 12855 |
| model_fit.click-count-logistic.brunton-2013-rats-humans.psychometric.subject.t014 | model_variant.click-count-logistic | finding.brunton-2013-rats-humans.psychometric.subject.t014 | -7203.997091569284 | 14413.994183138568 | 13617 |
| model_fit.click-count-logistic.brunton-2013-rats-humans.psychometric.subject.t074 | model_variant.click-count-logistic | finding.brunton-2013-rats-humans.psychometric.subject.t074 | -6602.6568317909605 | 13211.313663581921 | 11290 |
| model_fit.click-leaky-accumulator.brunton-2013-rats-humans.psychometric.subject.a080 | model_variant.click-leaky-accumulator | finding.brunton-2013-rats-humans.psychometric.subject.a080 | -7004.473422809124 | 14020.946845618248 | 12175 |
| model_fit.click-leaky-accumulator.brunton-2013-rats-humans.psychometric.subject.b075 | model_variant.click-leaky-accumulator | finding.brunton-2013-rats-humans.psychometric.subject.b075 | -6081.916834670885 | 12175.83366934177 | 11285 |
| model_fit.click-leaky-accumulator.brunton-2013-rats-humans.psychometric.subject.b127 | model_variant.click-leaky-accumulator | finding.brunton-2013-rats-humans.psychometric.subject.b127 | -6894.5693419530635 | 13801.138683906127 | 12855 |
| model_fit.click-leaky-accumulator.brunton-2013-rats-humans.psychometric.subject.t014 | model_variant.click-leaky-accumulator | finding.brunton-2013-rats-humans.psychometric.subject.t014 | -7179.570265229106 | 14371.140530458211 | 13617 |
| model_fit.click-leaky-accumulator.brunton-2013-rats-humans.psychometric.subject.t074 | model_variant.click-leaky-accumulator | finding.brunton-2013-rats-humans.psychometric.subject.t074 | -6575.64954397844 | 13163.29908795688 | 11290 |
| model_fit.ddm-drift-bias.palmer-huk-shadlen-2005.psychometric | model_variant.ddm-drift-bias | finding.palmer-huk-shadlen-2005.psychometricfinding.palmer-huk-shadlen-2005.chronometric | -1115.5868033556467 | 2239.1736067112934 | 3373 |
| model_fit.ddm-drift-bias.roitman-shadlen-2002.psychometric | model_variant.ddm-drift-bias | finding.roitman-shadlen-2002.psychometricfinding.roitman-shadlen-2002.chronometric | -2182.69932193614 | 4373.39864387228 | 6149 |
| model_fit.ddm-drift-bias.walsh-2024-prior-cue.psychometric.cue-invalid | model_variant.ddm-drift-bias | finding.walsh-2024-prior-cue.psychometric.cue-invalidfinding.walsh-2024-prior-cue.chronometric.cue-invalid | -6664.298125993829 | 13336.596251987658 | 10985 |
| model_fit.ddm-drift-bias.walsh-2024-prior-cue.psychometric.cue-neutral | model_variant.ddm-drift-bias | finding.walsh-2024-prior-cue.psychometric.cue-neutralfinding.walsh-2024-prior-cue.chronometric.cue-neutral | -5757.701882030479 | 11523.403764060959 | 10960 |
| model_fit.ddm-drift-bias.walsh-2024-prior-cue.psychometric.cue-valid | model_variant.ddm-drift-bias | finding.walsh-2024-prior-cue.psychometric.cue-validfinding.walsh-2024-prior-cue.chronometric.cue-valid | -17474.078620077144 | 34956.15724015429 | 44255 |
| model_fit.ddm-starting-point-bias.palmer-huk-shadlen-2005.psychometric | model_variant.ddm-starting-point-bias | finding.palmer-huk-shadlen-2005.psychometricfinding.palmer-huk-shadlen-2005.chronometric | -1116.0993226839487 | 2240.1986453678974 | 3373 |
| model_fit.ddm-starting-point-bias.roitman-shadlen-2002.psychometric | model_variant.ddm-starting-point-bias | finding.roitman-shadlen-2002.psychometricfinding.roitman-shadlen-2002.chronometric | -2183.107819544182 | 4374.215639088364 | 6149 |
| model_fit.ddm-starting-point-bias.walsh-2024-prior-cue.psychometric.cue-invalid | model_variant.ddm-starting-point-bias | finding.walsh-2024-prior-cue.psychometric.cue-invalidfinding.walsh-2024-prior-cue.chronometric.cue-invalid | -6664.249119099444 | 13336.498238198888 | 10985 |
| model_fit.ddm-starting-point-bias.walsh-2024-prior-cue.psychometric.cue-neutral | model_variant.ddm-starting-point-bias | finding.walsh-2024-prior-cue.psychometric.cue-neutralfinding.walsh-2024-prior-cue.chronometric.cue-neutral | -5780.705611097585 | 11569.41122219517 | 10960 |
| model_fit.ddm-starting-point-bias.walsh-2024-prior-cue.psychometric.cue-valid | model_variant.ddm-starting-point-bias | finding.walsh-2024-prior-cue.psychometric.cue-validfinding.walsh-2024-prior-cue.chronometric.cue-valid | -17432.078668450595 | 34872.15733690119 | 44255 |
| model_fit.ddm-vanilla.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 | model_variant.ddm-vanilla | finding.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1finding.khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 | -18116.344250972772 | 36238.688501945544 | 37209 |
| model_fit.ddm-vanilla.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 | model_variant.ddm-vanilla | finding.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2finding.khalvati-kiani-rao-2021.chronometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 | -14340.268610927442 | 28686.537221854884 | 25300 |
| model_fit.ddm-vanilla.palmer-huk-shadlen-2005.psychometric | model_variant.ddm-vanilla | finding.palmer-huk-shadlen-2005.psychometricfinding.palmer-huk-shadlen-2005.chronometric | -1116.121799105577 | 2238.243598211154 | 3373 |
| model_fit.ddm-vanilla.palmer-huk-shadlen-2005.psychometric.subject.phs-ah | model_variant.ddm-vanilla | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-ahfinding.palmer-huk-shadlen-2005.chronometric.subject.phs-ah | -144.7951331138212 | 295.5902662276424 | 554 |
| model_fit.ddm-vanilla.palmer-huk-shadlen-2005.psychometric.subject.phs-eh | model_variant.ddm-vanilla | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-ehfinding.palmer-huk-shadlen-2005.chronometric.subject.phs-eh | -230.9847235569577 | 467.9694471139154 | 560 |
| model_fit.ddm-vanilla.palmer-huk-shadlen-2005.psychometric.subject.phs-jd | model_variant.ddm-vanilla | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-jdfinding.palmer-huk-shadlen-2005.chronometric.subject.phs-jd | -157.87638406515956 | 321.7527681303191 | 567 |
| model_fit.ddm-vanilla.palmer-huk-shadlen-2005.psychometric.subject.phs-jp | model_variant.ddm-vanilla | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-jpfinding.palmer-huk-shadlen-2005.chronometric.subject.phs-jp | -147.61714812060316 | 301.2342962412063 | 555 |
| model_fit.ddm-vanilla.palmer-huk-shadlen-2005.psychometric.subject.phs-mk | model_variant.ddm-vanilla | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-mkfinding.palmer-huk-shadlen-2005.chronometric.subject.phs-mk | -163.34353675225765 | 332.6870735045153 | 573 |
| model_fit.ddm-vanilla.palmer-huk-shadlen-2005.psychometric.subject.phs-mm | model_variant.ddm-vanilla | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-mmfinding.palmer-huk-shadlen-2005.chronometric.subject.phs-mm | -227.09915021272505 | 460.1983004254501 | 564 |
| model_fit.ddm-vanilla.roitman-shadlen-2002.psychometric | model_variant.ddm-vanilla | finding.roitman-shadlen-2002.psychometricfinding.roitman-shadlen-2002.chronometric | -2183.6898591159943 | 4373.379718231989 | 6149 |
| model_fit.ddm-vanilla.roitman-shadlen-2002.psychometric.subject.monkey-1 | model_variant.ddm-vanilla | finding.roitman-shadlen-2002.psychometric.subject.monkey-1finding.roitman-shadlen-2002.chronometric.subject.monkey-1 | -964.500686824438 | 1935.001373648876 | 2615 |
| model_fit.ddm-vanilla.roitman-shadlen-2002.psychometric.subject.monkey-2 | model_variant.ddm-vanilla | finding.roitman-shadlen-2002.psychometric.subject.monkey-2finding.roitman-shadlen-2002.chronometric.subject.monkey-2 | -1217.066780736267 | 2440.133561472534 | 3534 |
| model_fit.ddm-vanilla.walsh-2024-prior-cue.psychometric.cue-invalid | model_variant.ddm-vanilla | finding.walsh-2024-prior-cue.psychometric.cue-invalidfinding.walsh-2024-prior-cue.chronometric.cue-invalid | -7647.501650127391 | 15301.003300254783 | 10985 |
| model_fit.ddm-vanilla.walsh-2024-prior-cue.psychometric.cue-neutral | model_variant.ddm-vanilla | finding.walsh-2024-prior-cue.psychometric.cue-neutralfinding.walsh-2024-prior-cue.chronometric.cue-neutral | -6830.961420216944 | 13667.922840433888 | 10960 |
| model_fit.ddm-vanilla.walsh-2024-prior-cue.psychometric.cue-valid | model_variant.ddm-vanilla | finding.walsh-2024-prior-cue.psychometric.cue-validfinding.walsh-2024-prior-cue.chronometric.cue-valid | -18929.457910640205 | 37864.91582128041 | 44255 |
| model_fit.logistic-4param.brunton-2013-rats-humans.psychometric.subject.a080 | model_variant.logistic-4param | finding.brunton-2013-rats-humans.psychometric.subject.a080 | -7035.383120395976 | 14078.766240791952 | 12175 |
| model_fit.logistic-4param.brunton-2013-rats-humans.psychometric.subject.b075 | model_variant.logistic-4param | finding.brunton-2013-rats-humans.psychometric.subject.b075 | -6124.427430842271 | 12256.854861684542 | 11285 |
| model_fit.logistic-4param.brunton-2013-rats-humans.psychometric.subject.b127 | model_variant.logistic-4param | finding.brunton-2013-rats-humans.psychometric.subject.b127 | -6878.778680461539 | 13765.557360923078 | 12855 |
| model_fit.logistic-4param.brunton-2013-rats-humans.psychometric.subject.t014 | model_variant.logistic-4param | finding.brunton-2013-rats-humans.psychometric.subject.t014 | -7165.670594237272 | 14339.341188474544 | 13617 |
| model_fit.logistic-4param.brunton-2013-rats-humans.psychometric.subject.t074 | model_variant.logistic-4param | finding.brunton-2013-rats-humans.psychometric.subject.t074 | -6577.810478534052 | 13163.620957068104 | 11290 |
| model_fit.logistic-4param.fritsche-2024-temporal-regularities.psychometric.alternating | model_variant.logistic-4param | finding.fritsche-2024-temporal-regularities.psychometric.alternating | -21602.49841260574 | 43212.99682521148 | 47176 |
| model_fit.logistic-4param.fritsche-2024-temporal-regularities.psychometric.neutral | model_variant.logistic-4param | finding.fritsche-2024-temporal-regularities.psychometric.neutral | -112337.11454653926 | 224682.22909307852 | 173723 |
| model_fit.logistic-4param.fritsche-2024-temporal-regularities.psychometric.repeating | model_variant.logistic-4param | finding.fritsche-2024-temporal-regularities.psychometric.repeating | -21631.418394193188 | 43270.836788386376 | 47368 |
| model_fit.logistic-4param.ibl-2021-standardized.psychometric.p_left-0.2 | model_variant.logistic-4param | finding.ibl-2021-standardized.psychometric.p_left-0.2 | -94.03686408675622 | 196.07372817351245 | 199 |
| model_fit.logistic-4param.ibl-2021-standardized.psychometric.p_left-0.5 | model_variant.logistic-4param | finding.ibl-2021-standardized.psychometric.p_left-0.5 | -29.091394552724797 | 66.18278910544959 | 90 |
| model_fit.logistic-4param.ibl-2021-standardized.psychometric.p_left-0.8 | model_variant.logistic-4param | finding.ibl-2021-standardized.psychometric.p_left-0.8 | -129.09441999042753 | 266.18883998085505 | 248 |
| model_fit.logistic-4param.ibl-2025-brainwide-map.multi-session-psychometric | model_variant.logistic-4param | finding.ibl-2025-brainwide-map.multi-session-psychometric | -2443.4485415978334 | 4894.897083195667 | 6018 |
| model_fit.logistic-4param.ibl-2025-prior-map.multi-session-psychometric.p_left-0.2 | model_variant.logistic-4param | finding.ibl-2025-prior-map.multi-session-psychometric.p_left-0.2 | -963.2863753333534 | 1934.5727506667067 | 2588 |
| model_fit.logistic-4param.ibl-2025-prior-map.multi-session-psychometric.p_left-0.5 | model_variant.logistic-4param | finding.ibl-2025-prior-map.multi-session-psychometric.p_left-0.5 | -366.8313441717884 | 741.6626883435767 | 899 |
| model_fit.logistic-4param.ibl-2025-prior-map.multi-session-psychometric.p_left-0.8 | model_variant.logistic-4param | finding.ibl-2025-prior-map.multi-session-psychometric.p_left-0.8 | -959.9708809570565 | 1927.941761914113 | 2531 |
| model_fit.logistic-4param.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 | model_variant.logistic-4param | finding.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 | -18114.42562478715 | 36236.8512495743 | 37209 |
| model_fit.logistic-4param.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 | model_variant.logistic-4param | finding.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 | -14323.125120468254 | 28654.250240936508 | 25300 |
| model_fit.logistic-4param.london-2018-poisson-clicks-dbs.dbs-off | model_variant.logistic-4param | finding.london-2018-poisson-clicks-dbs.dbs-off | -1219.6016058093694 | 2447.203211618739 | 2383 |
| model_fit.logistic-4param.london-2018-poisson-clicks-dbs.dbs-on | model_variant.logistic-4param | finding.london-2018-poisson-clicks-dbs.dbs-on | -1362.0525506726842 | 2732.1051013453684 | 2702 |
| model_fit.logistic-4param.palmer-huk-shadlen-2005.psychometric | model_variant.logistic-4param | finding.palmer-huk-shadlen-2005.psychometric | -1115.3094341002984 | 2238.618868200597 | 3373 |
| model_fit.logistic-4param.palmer-huk-shadlen-2005.psychometric.subject.phs-ah | model_variant.logistic-4param | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-ah | -140.64512841755212 | 289.29025683510423 | 554 |
| model_fit.logistic-4param.palmer-huk-shadlen-2005.psychometric.subject.phs-eh | model_variant.logistic-4param | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-eh | -230.05713535367744 | 468.1142707073549 | 560 |
| model_fit.logistic-4param.palmer-huk-shadlen-2005.psychometric.subject.phs-jd | model_variant.logistic-4param | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-jd | -154.1261518215906 | 316.2523036431812 | 567 |
| model_fit.logistic-4param.palmer-huk-shadlen-2005.psychometric.subject.phs-jp | model_variant.logistic-4param | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-jp | -145.31985913022498 | 298.63971826044997 | 555 |
| model_fit.logistic-4param.palmer-huk-shadlen-2005.psychometric.subject.phs-mk | model_variant.logistic-4param | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-mk | -162.4356738259099 | 332.8713476518198 | 573 |
| model_fit.logistic-4param.palmer-huk-shadlen-2005.psychometric.subject.phs-mm | model_variant.logistic-4param | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-mm | -223.77410964246897 | 455.54821928493794 | 564 |
| model_fit.logistic-4param.roitman-shadlen-2002.psychometric | model_variant.logistic-4param | finding.roitman-shadlen-2002.psychometric | -2182.3018925814563 | 4372.603785162913 | 6149 |
| model_fit.logistic-4param.roitman-shadlen-2002.psychometric.subject.monkey-1 | model_variant.logistic-4param | finding.roitman-shadlen-2002.psychometric.subject.monkey-1 | -962.7652712508864 | 1933.5305425017727 | 2615 |
| model_fit.logistic-4param.roitman-shadlen-2002.psychometric.subject.monkey-2 | model_variant.logistic-4param | finding.roitman-shadlen-2002.psychometric.subject.monkey-2 | -1212.1679627271767 | 2432.3359254543534 | 3534 |
| model_fit.logistic-4param.steinmetz-2019-distributed-coding.choice-conditional-psychometric | model_variant.logistic-4param | finding.steinmetz-2019-distributed-coding.choice-conditional-psychometric | -2463.5286787178743 | 4935.057357435749 | 6745 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.cue-invalid | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.cue-invalid | -6654.791493172824 | 13317.582986345647 | 10985 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.cue-neutral | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.cue-neutral | -5692.633618612983 | 11393.267237225966 | 10960 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.cue-valid | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.cue-valid | -15911.917689998028 | 31831.835379996057 | 44255 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-a | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-a | -614.7257778371677 | 1237.4515556743354 | 1020 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-b | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-b | -687.4095431891852 | 1382.8190863783705 | 1020 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-c | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-c | -416.42541120713435 | 840.8508224142687 | 700 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-d | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-d | -460.74553801276573 | 929.4910760255315 | 960 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-e | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-e | -527.6636746247254 | 1063.327349249451 | 800 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-f | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-f | -614.4801234234061 | 1236.9602468468122 | 955 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-g | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-g | -611.131892095447 | 1230.263784190894 | 1180 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-h | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-h | -609.2033022461529 | 1226.4066044923059 | 1040 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-i | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-i | -452.7110435026822 | 913.4220870053643 | 795 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-j | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-j | -243.03305813171744 | 494.0661162634349 | 690 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-k | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-k | -422.44878382099586 | 852.8975676419917 | 715 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-l | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-l | -553.9339127617891 | 1115.8678255235782 | 1110 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-a | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-a | -552.1474106058831 | 1112.2948212117662 | 975 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-b | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-b | -573.6373022502108 | 1155.2746045004217 | 1005 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-c | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-c | -355.2985612886116 | 718.5971225772232 | 710 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-d | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-d | -464.2108206437816 | 936.4216412875631 | 940 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-e | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-e | -494.38816447797575 | 996.7763289559515 | 840 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-f | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-f | -477.53163302521006 | 963.0632660504201 | 950 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-g | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-g | -568.2694899379163 | 1144.5389798758326 | 1230 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-h | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-h | -445.7016342382668 | 899.4032684765336 | 1035 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-i | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-i | -377.077654190615 | 762.15530838123 | 805 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-j | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-j | -257.36593052907256 | 522.7318610581451 | 705 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-k | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-k | -376.28698945336095 | 760.5739789067219 | 725 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-l | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-l | -436.3285491292192 | 880.6570982584384 | 1040 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-a | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-a | -1648.0504132582778 | 3304.1008265165556 | 4110 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-b | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-b | -1081.021957916662 | 2170.043915833324 | 4125 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-c | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-c | -1304.8504685363491 | 2617.7009370726983 | 2860 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-d | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-d | -1528.8040384373578 | 3065.6080768747156 | 3800 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-e | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-e | -1032.86902735402 | 2073.73805470804 | 3250 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-f | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-f | -845.8178307513801 | 1699.6356615027603 | 3810 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-g | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-g | -1913.8496838102712 | 3835.6993676205425 | 4645 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-h | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-h | -1031.0338546325706 | 2070.0677092651413 | 4135 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-i | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-i | -1122.3624186208606 | 2252.724837241721 | 3200 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-j | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-j | -788.675214501115 | 1585.35042900223 | 2835 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-k | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-k | -1369.04521630569 | 2746.09043261138 | 2855 |
| model_fit.logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-l | model_variant.logistic-4param | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-l | -1160.802769903674 | 2329.605539807348 | 4630 |
| model_fit.logistic-4param.zatka-haas-2021-sensory-coding-causal-impact.choice-conditional-psychometric | model_variant.logistic-4param | finding.zatka-haas-2021-sensory-coding-causal-impact.choice-conditional-psychometric | -3910.4545165676677 | 7828.909033135335 | 7547 |
| model_fit.sdt-2afc.brunton-2013-rats-humans.psychometric.subject.a080 | model_variant.sdt-2afc | finding.brunton-2013-rats-humans.psychometric.subject.a080 | -7100.107071374519 | 14204.214142749039 | 12175 |
| model_fit.sdt-2afc.brunton-2013-rats-humans.psychometric.subject.b075 | model_variant.sdt-2afc | finding.brunton-2013-rats-humans.psychometric.subject.b075 | -6185.669618540207 | 12375.339237080414 | 11285 |
| model_fit.sdt-2afc.brunton-2013-rats-humans.psychometric.subject.b127 | model_variant.sdt-2afc | finding.brunton-2013-rats-humans.psychometric.subject.b127 | -7151.805021172749 | 14307.610042345497 | 12855 |
| model_fit.sdt-2afc.brunton-2013-rats-humans.psychometric.subject.t014 | model_variant.sdt-2afc | finding.brunton-2013-rats-humans.psychometric.subject.t014 | -7249.297798959281 | 14502.595597918562 | 13617 |
| model_fit.sdt-2afc.brunton-2013-rats-humans.psychometric.subject.t074 | model_variant.sdt-2afc | finding.brunton-2013-rats-humans.psychometric.subject.t074 | -6700.8104109524975 | 13405.620821904995 | 11290 |
| model_fit.sdt-2afc.fritsche-2024-temporal-regularities.psychometric.alternating | model_variant.sdt-2afc | finding.fritsche-2024-temporal-regularities.psychometric.alternating | -23884.471540081897 | 47772.943080163794 | 47176 |
| model_fit.sdt-2afc.fritsche-2024-temporal-regularities.psychometric.neutral | model_variant.sdt-2afc | finding.fritsche-2024-temporal-regularities.psychometric.neutral | -112886.7703709548 | 225777.5407419096 | 173723 |
| model_fit.sdt-2afc.fritsche-2024-temporal-regularities.psychometric.repeating | model_variant.sdt-2afc | finding.fritsche-2024-temporal-regularities.psychometric.repeating | -23953.13536705688 | 47910.27073411376 | 47368 |
| model_fit.sdt-2afc.ibl-2021-standardized.psychometric.p_left-0.2 | model_variant.sdt-2afc | finding.ibl-2021-standardized.psychometric.p_left-0.2 | -98.91674695367772 | 201.83349390735543 | 199 |
| model_fit.sdt-2afc.ibl-2021-standardized.psychometric.p_left-0.5 | model_variant.sdt-2afc | finding.ibl-2021-standardized.psychometric.p_left-0.5 | -29.028370942929254 | 62.05674188585851 | 90 |
| model_fit.sdt-2afc.ibl-2021-standardized.psychometric.p_left-0.8 | model_variant.sdt-2afc | finding.ibl-2021-standardized.psychometric.p_left-0.8 | -132.1312920628229 | 268.2625841256458 | 248 |
| model_fit.sdt-2afc.ibl-2025-brainwide-map.multi-session-psychometric | model_variant.sdt-2afc | finding.ibl-2025-brainwide-map.multi-session-psychometric | -2653.372042838455 | 5310.74408567691 | 6018 |
| model_fit.sdt-2afc.ibl-2025-prior-map.multi-session-psychometric.p_left-0.2 | model_variant.sdt-2afc | finding.ibl-2025-prior-map.multi-session-psychometric.p_left-0.2 | -986.7046274036521 | 1977.4092548073043 | 2588 |
| model_fit.sdt-2afc.ibl-2025-prior-map.multi-session-psychometric.p_left-0.5 | model_variant.sdt-2afc | finding.ibl-2025-prior-map.multi-session-psychometric.p_left-0.5 | -399.38797964631124 | 802.7759592926225 | 899 |
| model_fit.sdt-2afc.ibl-2025-prior-map.multi-session-psychometric.p_left-0.8 | model_variant.sdt-2afc | finding.ibl-2025-prior-map.multi-session-psychometric.p_left-0.8 | -1017.6058245863484 | 2039.2116491726968 | 2531 |
| model_fit.sdt-2afc.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 | model_variant.sdt-2afc | finding.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m1 | -18130.446415062444 | 36264.89283012489 | 37209 |
| model_fit.sdt-2afc.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 | model_variant.sdt-2afc | finding.khalvati-kiani-rao-2021.psychometric.direction-choice-proxy.accuracy-no-sure-target.kiani-shadlen-m2 | -14330.337837329407 | 28664.675674658814 | 25300 |
| model_fit.sdt-2afc.london-2018-poisson-clicks-dbs.dbs-off | model_variant.sdt-2afc | finding.london-2018-poisson-clicks-dbs.dbs-off | -1346.3926583090733 | 2696.7853166181467 | 2383 |
| model_fit.sdt-2afc.london-2018-poisson-clicks-dbs.dbs-on | model_variant.sdt-2afc | finding.london-2018-poisson-clicks-dbs.dbs-on | -1462.0760561346804 | 2928.1521122693607 | 2702 |
| model_fit.sdt-2afc.palmer-huk-shadlen-2005.psychometric | model_variant.sdt-2afc | finding.palmer-huk-shadlen-2005.psychometric | -1121.4860139234586 | 2246.972027846917 | 3373 |
| model_fit.sdt-2afc.palmer-huk-shadlen-2005.psychometric.subject.phs-ah | model_variant.sdt-2afc | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-ah | -139.56022840909827 | 283.12045681819654 | 554 |
| model_fit.sdt-2afc.palmer-huk-shadlen-2005.psychometric.subject.phs-eh | model_variant.sdt-2afc | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-eh | -229.10185677710356 | 462.2037135542071 | 560 |
| model_fit.sdt-2afc.palmer-huk-shadlen-2005.psychometric.subject.phs-jd | model_variant.sdt-2afc | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-jd | -153.20336360453814 | 310.4067272090763 | 567 |
| model_fit.sdt-2afc.palmer-huk-shadlen-2005.psychometric.subject.phs-jp | model_variant.sdt-2afc | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-jp | -145.5836254629527 | 295.1672509259054 | 555 |
| model_fit.sdt-2afc.palmer-huk-shadlen-2005.psychometric.subject.phs-mk | model_variant.sdt-2afc | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-mk | -161.4722894161425 | 326.944578832285 | 573 |
| model_fit.sdt-2afc.palmer-huk-shadlen-2005.psychometric.subject.phs-mm | model_variant.sdt-2afc | finding.palmer-huk-shadlen-2005.psychometric.subject.phs-mm | -224.17889717947233 | 452.35779435894466 | 564 |
| model_fit.sdt-2afc.roitman-shadlen-2002.psychometric | model_variant.sdt-2afc | finding.roitman-shadlen-2002.psychometric | -2184.0892712626783 | 4372.1785425253565 | 6149 |
| model_fit.sdt-2afc.roitman-shadlen-2002.psychometric.subject.monkey-1 | model_variant.sdt-2afc | finding.roitman-shadlen-2002.psychometric.subject.monkey-1 | -961.4565188931701 | 1926.9130377863403 | 2615 |
| model_fit.sdt-2afc.roitman-shadlen-2002.psychometric.subject.monkey-2 | model_variant.sdt-2afc | finding.roitman-shadlen-2002.psychometric.subject.monkey-2 | -1216.72405649259 | 2437.44811298518 | 3534 |
| model_fit.sdt-2afc.steinmetz-2019-distributed-coding.choice-conditional-psychometric | model_variant.sdt-2afc | finding.steinmetz-2019-distributed-coding.choice-conditional-psychometric | -2520.400177639587 | 5044.800355279174 | 6745 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.cue-invalid | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.cue-invalid | -6654.708795818197 | 13313.417591636395 | 10985 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.cue-neutral | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.cue-neutral | -5760.687720762715 | 11525.37544152543 | 10960 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.cue-valid | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.cue-valid | -17731.042715692227 | 35466.085431384454 | 44255 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-a | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-a | -614.3741549659711 | 1232.7483099319422 | 1020 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-b | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-b | -686.0680289307306 | 1376.1360578614613 | 1020 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-c | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-c | -416.9934267510823 | 837.9868535021646 | 700 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-d | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-d | -459.6942894949623 | 923.3885789899246 | 960 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-e | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-e | -526.092157613039 | 1056.184315226078 | 800 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-f | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-f | -622.7307274932955 | 1249.461454986591 | 955 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-g | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-g | -608.0553152623671 | 1220.1106305247342 | 1180 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-h | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-h | -607.781078937958 | 1219.562157875916 | 1040 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-i | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-i | -459.0095435559805 | 922.019087111961 | 795 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-j | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-j | -1222.672686679472 | 2449.345373358944 | 690 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-k | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-k | -422.2206821545104 | 848.4413643090209 | 715 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-l | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-l | -541.3011704658953 | 1086.6023409317906 | 1110 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-a | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-a | -552.2228122443129 | 1108.4456244886258 | 975 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-b | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-b | -575.7868433871997 | 1155.5736867743994 | 1005 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-c | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-c | -355.2964715181253 | 714.5929430362506 | 710 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-d | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-d | -465.0493515626382 | 934.0987031252764 | 940 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-e | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-e | -494.4163585759983 | 992.8327171519966 | 840 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-f | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-f | -509.1254891360892 | 1022.2509782721784 | 950 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-g | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-g | -570.2786814271859 | 1144.5573628543718 | 1230 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-h | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-h | -450.403547464694 | 904.807094929388 | 1035 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-i | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-i | -396.6962869112019 | 797.3925738224038 | 805 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-j | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-j | -257.36593052907335 | 518.7318610581467 | 705 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-k | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-k | -384.6005042950519 | 773.2010085901038 | 725 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-l | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-neutral.subject-l | -436.23142421434864 | 876.4628484286973 | 1040 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-a | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-a | -1678.0838840147271 | 3360.1677680294542 | 4110 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-b | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-b | -1126.1435953328298 | 2256.2871906656596 | 4125 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-c | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-c | -1322.205390986681 | 2648.410781973362 | 2860 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-d | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-d | -1532.2182058949375 | 3068.436411789875 | 3800 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-e | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-e | -1062.957362430383 | 2129.914724860766 | 3250 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-f | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-f | -1314.998087876484 | 2633.996175752968 | 3810 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-g | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-g | -2025.884044249191 | 4055.768088498382 | 4645 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-h | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-h | -1417.7737370864745 | 2839.547474172949 | 4135 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-i | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-i | -1262.1258740920284 | 2528.251748184057 | 3200 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-j | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-j | -788.6752145022365 | 1581.350429004473 | 2835 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-k | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-k | -1433.4716391253303 | 2870.9432782506606 | 2855 |
| model_fit.sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-l | model_variant.sdt-2afc | finding.walsh-2024-prior-cue.psychometric.subject.cue-valid.subject-l | -1167.8056240090339 | 2339.6112480180677 | 4630 |
| model_fit.sdt-2afc.zatka-haas-2021-sensory-coding-causal-impact.choice-conditional-psychometric | model_variant.sdt-2afc | finding.zatka-haas-2021-sensory-coding-causal-impact.choice-conditional-psychometric | -3938.611441541646 | 7881.222883083292 | 7547 |
| model_fit.sdt-yes-no.garrett-2023-visual-behavior.yes-no-change-detection | model_variant.sdt-yes-no | finding.garrett-2023-visual-behavior.yes-no-change-detection | -139.45919577654394 | 282.9183915530879 | 270 |