Finding

ibl-2021-standardized.psychometric.p_left-0.2

The International Brain Laboratory et al. Standardized and reproducible measurement of decision-making in mice. eLife, 2021, 10:e63711. · IBL visual decision task · psychometric

Observed curve and fits

Fit diagnostics

Variant AIC Δ AIC RMSE Caveats
logistic-4param winner 196.1 0.0 0.0595 —
sdt-2afc 201.8 5.8 0.1561 —
Full diagnostics (logL · n · params · max abs error)
Variant logL n Free params Max |error| Predicted points
logistic-4param -94.0 199 4 0.1141 9
sdt-2afc -98.9 199 2 0.3420 9

Residuals

Fit parameters and provenance

logistic-4param.ibl-2021-standardized.psychometric.p_left-0.2

dirty fit

bias=-25.469 · lower_lapse=0.000 · slope=13.259 · upper_lapse=0.125

Method
scipy.optimize.minimize
Commit
24fd416
Predicted points
9
BIC
209.2

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

sdt-2afc.ibl-2021-standardized.psychometric.p_left-0.2

dirty fit

criterion=-0.610 · d_prime=0.010

Method
scipy.optimize.minimize
Commit
24fd416
Predicted points
9
BIC
208.4

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 0.0000 5
-25.000 0.3750 8
-12.500 0.7500 12
-6.250 0.6250 8
0.000 0.7778 27
6.250 0.8286 35
12.500 0.7619 42
25.000 0.8966 29
100.000 0.8788 33

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.