concept
active
concept:dynamic-causal-models

dynamic causal models

Nonlinear models of brain dynamics that can be inverted via DEM.

Neighborhood — ranked by edge-count

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • 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
  • Causal Emergenceconcept0.778
    Core concept: degree to which an agent exerts unique predictive power on its future; key to cognition at all scales.
  • Causal Mediationconcept0.773
    Whether an internal direction causally controls a target behavior, verified by intervention success
  • Causal Mechanismconcept0.765
    Function determining the value of a variable based on its causal parents in an acyclic causal model.
  • Causal Invarianceconcept0.761
    Property that causal mechanisms remain stable across environments; desirable for OOD.
  • Hierarchical generative models with separate timescales, enabling long-term planning.