Finding

ibl-2025-prior-map.multi-session-psychometric.p_left-0.2

The International Brain Laboratory et al. Brain-wide representations of prior information in mouse decision-making. Nature 645:192-200, 2025. · IBL visual decision task · psychometric

Observed curve and fits

Fit diagnostics

Variant AIC Δ AIC RMSE Caveats
logistic-4param winner 1934.6 0.0 0.0170 —
sdt-2afc 1977.4 42.8 0.0556 —
Full diagnostics (logL · n · params · max abs error)
Variant logL n Free params Max |error| Predicted points
logistic-4param -963.3 2,588 4 0.0366 9
sdt-2afc -986.7 2,588 2 0.1286 9

Residuals

Fit parameters and provenance

logistic-4param.ibl-2025-prior-map.multi-session-psychometric.p_left-0.2

dirty fit

bias=-8.897 · lower_lapse=0.029 · slope=12.038 · upper_lapse=0.004

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
9
BIC
1958.0

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

sdt-2afc.ibl-2025-prior-map.multi-session-psychometric.p_left-0.2

dirty fit

criterion=-0.518 · d_prime=0.035

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
9
BIC
1989.1

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 0.0288 104
-25.000 0.2353 102
-12.500 0.4530 117
-6.250 0.5932 118
0.000 0.6926 309
6.250 0.7458 472
12.500 0.8711 450
25.000 0.9490 431
100.000 0.9959 485

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.