Top-Down Models in Biology

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

• Top-down predictive modelsconcept0.863
  Generative models in the brain that predict sensory input; proposed to be physically stored in VSMC motifs.
• top-down controlconcept0.783
  Higher levels (tissue, organ, bioelectric pattern) causally influence lower-level events; key for evolutionary and engineering interventions.
• modelconcept0.773
  A representation that captures relevant aspects of a system; according to the theorem, the regulator must embody this.
• hierarchical modelsmethod0.767
  Models of sensory generation that allow dynamic context-sensitive prior expectations.
• Top-down Causationconcept0.760
  How higher organizational levels constrain and facilitate the behavior of parts by deforming their energy landscapes.
• Big Two Modelframework0.754
  Meta-trait model grouping OCEAN traits into stability (C, A, reversed N) and plasticity (E, O); used to evaluate covariance patterns from injections
• Ising modelframework0.750
  Prototypical spin system; baseline for phase transition arguments
• Diffusion modelsmethod0.749
  Generative models that reverse a noising process, mentioned in quasi-simulator table.