Finding

fritsche-2024-temporal-regularities.psychometric.neutral

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 2.25e+5 0.0 0.1716 —
sdt-2afc 2.26e+5 1095.3 0.1797 —
Full diagnostics (logL · n · params · max abs error)
Variant logL n Free params Max |error| Predicted points
logistic-4param -1.12e+5 173,723 4 0.2433 13
sdt-2afc -1.13e+5 173,723 2 0.2835 13

Residuals

Fit parameters and provenance

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

dirty fit

bias=8.542 · lower_lapse=0.188 · slope=55.554 · upper_lapse=0.173

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
13
BIC
2.25e+5

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.neutral

dirty fit

criterion=-0.032 · d_prime=0.006

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
13
BIC
2.26e+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 0.3998 38,565
-50.000 0.1708 14,168
-25.000 0.1741 11,404
-12.500 0.2047 8,941
-12.000 0.4780 1,002
-6.250 0.3595 9,082
0.000 0.4688 12,092
6.250 0.6031 9,066
12.000 0.7220 946
12.500 0.7321 9,044
25.000 0.7975 11,438
50.000 0.8333 14,202
100.000 0.6817 33,773

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.