Uses a wheel-based mouse visual contrast decision task to separate sensory coding from causal cortical impact. It is linked to the unforced wheel protocol because it sits in the same operational lineage as Burgess and Steinmetz. The paper's Figshare archive is public but large, so the next step is a manifest/code-first adapter pass before downloading every split archive part.
Paper
Zatka-Haas P, Steinmetz NA, Carandini M, Harris KD. Sensory coding and the causal impact of mouse cortex in a visual decision. eLife 10:e63163, 2021.
Notes
Curves on shared axes
Findings extracted from this paper, plotted alongside one another.
Compare to the rest of the literature on /findings.
Findings
| Finding | Curve | Species | Source level | Stratification | Points | Fits |
|---|---|---|---|---|---|---|
| finding.zatka-haas-2021-sensory-coding-causal-impact.choice-conditional-psychometric | psychometric | mouse | processed-trial | — | 13 |
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Fit parameters
Per-finding fits committed alongside this paper. Parameters, log-likelihood, AIC, and BIC for each variant. Click the finding id for residuals, model-selection winner, and provenance.
| Variant | Parameters | logL | AIC | BIC |
|---|---|---|---|---|
| logistic-4param | bias=0.612 · lower_lapse=0.106 · slope=7.956 · upper_lapse=0.137 | -3910.5 | 7828.9 | 7856.6 |
| sdt-2afc | criterion=0.075 · d_prime=0.030 | -3938.6 | 7881.2 | 7895.1 |