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concept:dynamic-causal-modelsdynamic causal models
Nonlinear models of brain dynamics that can be inverted via DEM.
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- Formal representation of algorithms as directed acyclic graphs computing functions f_A
- Consists of input, intermediate, and output variables with associated causal mechanisms; the mathematical object central to DAS.
- The extent to which a probe direction, when intervened upon, actually changes model outputs — contrasted with mere classification accuracy
- Core concept: degree to which an agent exerts unique predictive power on its future; key to cognition at all scales.
- Whether an internal direction causally controls a target behavior, verified by intervention success
- Function determining the value of a variable based on its causal parents in an acyclic causal model.
- Property that causal mechanisms remain stable across environments; desirable for OOD.
- Hierarchical generative models with separate timescales, enabling long-term planning.