Finding

fritsche-2024-temporal-regularities.psychometric.repeating

Fritsche M, Majumdar A, Strickland L, Liebana Garcia S, Bogacz R, Lak A. Temporal regularities shape perceptual decisions and striatal dopamine signals. Nature Communications 15:7093, 2024. · Mouse visual contrast wheel task with temporal regularities · psychometric

Observed curve and fits

Fit diagnostics

Variant AIC Δ AIC RMSE Caveats
logistic-4param winner 43270.8 0.0 0.0125 —
sdt-2afc 47910.3 4639.4 0.1324 —
Full diagnostics (logL · n · params · max abs error)
Variant logL n Free params Max |error| Predicted points
logistic-4param -21631.4 47,368 4 0.0201 11
sdt-2afc -23953.1 47,368 2 0.2095 11

Residuals

Fit parameters and provenance

logistic-4param.fritsche-2024-temporal-regularities.psychometric.repeating

dirty fit

bias=0.039 · lower_lapse=0.107 · slope=6.290 · upper_lapse=0.076

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
11
BIC
43305.9

Fitted with scipy.optimize.minimize via behavtaskatlas.model_fits.logistic-4param; success=True; CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH

sdt-2afc.fritsche-2024-temporal-regularities.psychometric.repeating

dirty fit

criterion=-0.054 · d_prime=0.022

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
11
BIC
47927.8

Fitted with scipy.optimize.minimize via behavtaskatlas.model_fits.sdt-2afc; success=True; CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH

Observed points

Signed contrast p_right n
-100.000 0.0909 3,961
-50.000 0.1120 3,929
-25.000 0.1397 4,031
-12.500 0.2028 3,965
-6.250 0.3107 3,862
0.000 0.5158 7,950
6.250 0.7180 3,865
12.500 0.8238 3,900
25.000 0.8888 3,929
50.000 0.9228 3,926
100.000 0.9388 4,050

Take it with you

Cover sheet

Self-contained Markdown for citation, slides, or notebooks

The cover sheet pins the finding to the atlas commit and includes the observed points, fit ranking, caveats, and provenance — everything needed to drop into a paper or notebook without losing the trail back to the deploy.