Dirichlet Parameter Accumulation

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

• Dirichlet Distributionconcept0.803
  Conjugate prior for categorical variables; used for beliefs about likelihood matrix A.
• Learning the likelihood matrix A via Dirichlet parameter accumulation is formally identical to associative or Hebbian plasticity.claim0.764
  Connection between learning rule and synaptic plasticity.
• dynamic expectation maximisation (DEM)method0.717
  A variational approach for dynamic Bayesian inversion of nonlinear causal models, named in this paper.
• Evidence Accumulationfinding0.708
  Decision-making phenomenon reproduced by active inference in parietal/prefrontal cortex.
• Decompose parameters, not activationsquote0.688
  Core slogan encapsulating the paradigm shift of VPD.
• Implication (A → B)concept0.685
• The specification for (⊸) is a category homomorphism (µ id = id, µ(g ∘ f) = µg ∘ µf), leading to a correct-by-construction implementation.claim0.682
  Demonstration on linear transformations.
• Developing a simple, precise denotational model of graphical user interfaces enables proving properties of programs and establishing objective comparisons of library abstraction levels.claim0.682
  Authors' core assertion that formal modeling of GUIs provides foundational benefits for language design and program verification.