Research map / Probabilistic and scientific modeling / Dynamical systems
Compact task representations as a normative model for higher-order brain activity
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use policy compression (habitual agent) instead of model compression (ablation) | state space compression · somatosensory working memory task | number of compressed states | Helped |
| compress history states with model compression | history-OMDP · somatosensory working memory task | compressed state structure | Helped |
| predictable go cue (fixed delay) versus randomized delay | policy compression · delayed licking task | temporal structure of compressed states | Mixed |
| assume no action is prepared during the delay | policy compression · somatosensory working memory task | timing information in compressed states | Helped |
| add transition noise and limited capacity with linear Gaussian parametrization | compressed OMDP · somatosensory working memory task (PFC data) | match to neural activity | Helped |
| omit tradeoff between future returns and representation cost (ideal fast delay line) | non-parametric model compression · delayed licking task | match to recorded ramping activity | Hurt |
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