Research map / Learning theory and algorithms / Prediction and decision losses
Power-law efficient neural codes provide general link between perceptual bias and discriminability
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use nonlinear bias-discriminability relation instead of linear relation (ablation) | MAP estimator, power-law efficient codes · simulated random GP priors | error ratio R of bias prediction | Helped |
| increase SNR k (ablation) | bias-discriminability relationship (MAP, median, mean) · simulated random GP priors | linearity of bias vs discriminability | Helped |
| increase SNR k beyond optimum (ablation) | error ratio of analytical predictions · simulated random GP priors | error ratio R | Hurt |
| vary efficient coding power q (not only q=2) under MAP decoder (ablation) | Wei-Stocker law · simulated random GP priors | slope of linear bias-discriminability relation | No clear effect |
| q greater than 1 with posterior mean decoder (ablation) | power-law efficient code · simulated random GP priors | bias direction | Mixed |
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