Finding

ibl-2021-standardized.psychometric.p_left-0.5

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
sdt-2afc winner 62.1 0.0 0.0918 —
logistic-4param 66.2 4.1 0.0925 —
Full diagnostics (logL · n · params · max abs error)
Variant logL n Free params Max |error| Predicted points
sdt-2afc -29.0 90 2 0.1835 9
logistic-4param -29.1 90 4 0.1963 9

Residuals

Fit parameters and provenance

sdt-2afc.ibl-2021-standardized.psychometric.p_left-0.5

dirty fit

criterion=-0.784 · d_prime=0.070

Method
scipy.optimize.minimize
Commit
24fd416
Predicted points
9
BIC
67.1

Fitted with scipy.optimize.minimize via behavtaskatlas.model_fits.sdt-2afc; success=True; CONVERGENCE: RELATIVE REDUCTION OF F <= FACTR*EPSMCH

logistic-4param.ibl-2021-standardized.psychometric.p_left-0.5

dirty fit

bias=-11.368 · lower_lapse=0.000 · slope=8.336 · upper_lapse=0.000

Method
scipy.optimize.minimize
Commit
24fd416
Predicted points
9
BIC
76.2

Fitted with scipy.optimize.minimize via behavtaskatlas.model_fits.logistic-4param; success=True; CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL

Observed points

Signed contrast p_right n
-100.000 0.0000 10
-25.000 0.1000 10
-12.500 0.6000 10
-6.250 0.7000 10
0.000 0.6000 10
6.250 1.0000 10
12.500 0.9000 10
25.000 1.0000 10
100.000 1.0000 10

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.