Finding

walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-l

Walsh K, McGovern DP, Dully J, Kelly SP, O'Connell RG. Prior probability cues bias sensory encoding with increasing task exposure. eLife 12:RP91135, 2024. · Human visual contrast 2AFC keyboard task · psychometric

Observed curve and fits

Fit diagnostics

Variant AIC Δ AIC RMSE Caveats
sdt-2afc winner 1086.6 0.0 0.1250 —
logistic-4param 1115.9 29.3 0.1316 —
Full diagnostics (logL · n · params · max abs error)
Variant logL n Free params Max |error| Predicted points
sdt-2afc -541.3 1,110 2 0.1936 4
logistic-4param -553.9 1,110 4 0.1561 4

Residuals

Fit parameters and provenance

sdt-2afc.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-l

dirty fit

criterion=-0.874 · d_prime=1.00e-6

Method
scipy.optimize.minimize
Commit
24fd416
Predicted points
4
BIC
1096.6

Fitted with scipy.optimize.minimize via behavtaskatlas.model_fits.sdt-2afc; success=True; CONVERGENCE: NORM OF PROJECTED GRADIENT <= PGTOL

logistic-4param.walsh-2024-prior-cue.psychometric.subject.cue-invalid.subject-l

dirty fit

bias=-12.000 · lower_lapse=0.500 · slope=240.000 · upper_lapse=0.000

Method
scipy.optimize.minimize
Commit
24fd416
Predicted points
4
BIC
1135.9

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

Observed points

Signed target-distractor contrast p_right n
-12.000 0.8983 462
-10.000 0.9071 140
10.000 0.6154 104
12.000 0.7228 404

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.