Finding

fritsche-2024-temporal-regularities.psychometric.alternating

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 43213.0 0.0 0.0137 —
sdt-2afc 47772.9 4559.9 0.1307 —
Full diagnostics (logL · n · params · max abs error)
Variant logL n Free params Max |error| Predicted points
logistic-4param -21602.5 47,176 4 0.0282 11
sdt-2afc -23884.5 47,176 2 0.2047 11

Residuals

Fit parameters and provenance

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

recorded fit

bias=0.849 · lower_lapse=0.094 · slope=6.318 · upper_lapse=0.087

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
11
BIC
43248.0

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.alternating

dirty fit

criterion=0.020 · d_prime=0.022

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
11
BIC
47790.5

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 0.0798 3,972
-50.000 0.1002 3,871
-25.000 0.1227 3,995
-12.500 0.1813 3,999
-6.250 0.2788 3,892
0.000 0.4783 7,843
6.250 0.6801 3,973
12.500 0.8068 3,970
25.000 0.8672 3,960
50.000 0.9127 3,813
100.000 0.9321 3,888

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.