Top-down predictive models

Generative models in the brain that predict sensory input; proposed to be physically stored in VSMC motifs.

Neighborhood — ranked by edge-count

concept

Vascular Smooth Muscle Cells (VSMCs)
associated_with
Proposed as the brain's compression/prediction infrastructure where tanha physically manifests; central mechanism in vasocomputation theory.

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.

Top-Down Models in Biologyframework0.863
Pezzulo and Levin's framework for explanation and control of complex living systems above the molecular level, cited as prior work by Levin
top-down empirical priorsconcept0.802
Prior expectations encoded in top-down cortical signals; balance with bottom-up input modulated by precision.
Top-down Causationconcept0.793
How higher organizational levels constrain and facilitate the behavior of parts by deforming their energy landscapes.
Model Predictive Controlframework0.776
A control approach that uses a model to predict future states and optimizes control actions over a receding horizon.
top-down controlconcept0.774
Higher levels (tissue, organ, bioelectric pattern) causally influence lower-level events; key for evolutionary and engineering interventions.
hierarchical modelsmethod0.752
Models of sensory generation that allow dynamic context-sensitive prior expectations.
Top-Down Attentional Controlconcept0.743
Biological analogue to ESR where top-down mechanisms detect distracting inputs and redirect processing
Autoregressive modelsframework0.743
Second model system studied; used to show why flat autoregressive LLMs struggle with long-range coherence.