AllenNeuralDynamics / AllenNeuralDynamics/aind-dynamic-foraging-bfm-dispatcher
Discover cognitive mechanisms (learning-rate / uncertainty modulation)
Abierto
interpretability
priority:P1
- Lenguaje dominante
- Python
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- 0
- Forks
- 0
- Merge medio
- 2 h 9 min
- PR fusionados (30 d)
- 31
Descripción
Distill interpretable mechanisms from the foundation model.
**Scope**
- Choice/reward-history dependence: perseveration vs. reward-seeking weights and spread across embedding
- Learning-rate modulation: does effective learning rate adapt to uncertainty/volatility?
**Done when**
- Mechanism characterization for Fig 5
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