Finding

ibl-2025-prior-map.multi-session-psychometric.p_left-0.8

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 1927.9 0.0 0.0153 —
sdt-2afc 2039.2 111.3 0.1204 —
Full diagnostics (logL · n · params · max abs error)
Variant logL n Free params Max |error| Predicted points
logistic-4param -960.0 2,531 4 0.0269 9
sdt-2afc -1017.6 2,531 2 0.2804 9

Residuals

Fit parameters and provenance

logistic-4param.ibl-2025-prior-map.multi-session-psychometric.p_left-0.8

dirty fit

bias=7.038 · lower_lapse=0.020 · slope=10.407 · upper_lapse=0.037

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
9
BIC
1951.3

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-0.8

dirty fit

criterion=0.498 · d_prime=0.027

Method
scipy.optimize.minimize
Commit
8365eb3
Predicted points
9
BIC
2050.9

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 0.0172 466
-25.000 0.0743 471
-12.500 0.1405 427
-6.250 0.2110 474
0.000 0.3523 264
6.250 0.4466 103
12.500 0.6216 111
25.000 0.8462 91
100.000 0.9597 124

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.