Finding

palmer-huk-shadlen-2005.psychometric.subject.phs-mk

Palmer J, Huk AC, Shadlen MN. The effect of stimulus strength on the speed and accuracy of a perceptual decision. Journal of Vision, 2005, 5(5):376-404. · Human random-dot motion button reaction-time task · psychometric

Observed curve and fits

Joint-fit companions

Other findings jointly fit by the same model fits.

Fit diagnostics

Caveats on these fits (1 term)

Each tag below is attached to one or more candidate fits for this finding. The chip column in the table flags which row carries which tag.

aggregate DDM RT approximation
DDM likelihood uses aggregate chronometric constraints rather than a full trial-level response-time likelihood.
Variant AIC Δ AIC RMSE Caveats
sdt-2afc winner 326.9 0.0 0.0209
ddm-vanilla 332.7 5.7 0.0313
  • aggregate DDM RT approximation
logistic-4param 332.9 5.9 0.0244
Full diagnostics (logL · n · params · max abs error)
Variant logL n Free params Max |error| Predicted points
sdt-2afc -161.5 573 2 0.0530 11
ddm-vanilla -163.3 573 3 0.0908 11
logistic-4param -162.4 573 4 0.0641 11

Residuals

Fit parameters and provenance

sdt-2afc.palmer-huk-shadlen-2005.psychometric.subject.phs-mk

dirty fit

criterion=0.074 · d_prime=0.186

Method
scipy.optimize.minimize
Commit
24fd416
Predicted points
11
BIC
335.6

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

ddm-vanilla.palmer-huk-shadlen-2005.psychometric.subject.phs-mk

dirty fit

boundary=0.990 · drift_per_unit_evidence=0.325 · non_decision_time=0.386

Method
scipy.optimize.minimize
Commit
67b9019
Predicted points
11
BIC
345.7

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

logistic-4param.palmer-huk-shadlen-2005.psychometric.subject.phs-mk

dirty fit

bias=0.396 · lower_lapse=0.000 · slope=3.132 · upper_lapse=0.000

Method
scipy.optimize.minimize
Commit
24fd416
Predicted points
11
BIC
350.3

Fitted with scipy.optimize.minimize via behavtaskatlas.model_fits.logistic-4param; success=True; CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL

Observed points

Signed motion coherence p_right n
-51.200 0.0000 48
-25.600 0.0000 48
-12.800 0.0000 48
-6.400 0.1250 48
-3.200 0.2340 47
0.000 0.5000 94
3.200 0.6458 48
6.400 0.8542 48
12.800 1.0000 48
25.600 1.0000 48
51.200 1.0000 48

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.