claim
active
claim:smooth-muscle-cell-motifs-are-where-the-brain-s-top-down-predictive-models-are-hidingSmooth muscle cell motifs are where the brain's top-down predictive models are hiding.
Key claim for the FEP-AI community about the physical location of predictive models.
Source paper
extracted_fromNeighborhood — ranked by edge-count
Communities (2)
community
- Levin-led research showing bioelectric signals encode and control anatomical goal states in living systems.
- Using neuroscience tools to read and rewrite non-neural bioelectric signaling for morphogenetic control and predictive modeling.
Artifacts (1)
artifact
- Blog post/research essay that introduces the Vasocomputation framework, linking Buddhist tanha with vascular smooth muscle cell function, active inference, and physical reflexes.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Central thesis linking VSMCs to predictive coding.
- Theravada Buddhism mapping: vascular system as the physical basis of tanha-driven sensation manipulation.
- Demonstrated CNN representations predict neurons in visual cortex; background motivation for neural-network-brain correspondence.
- would place-like representations emerge in memory neurons for activation functions other than softmax?question0.754Open empirical question left for future work about robustness of place cell emergence.
- Neural Representations of Location Composed of Spatially Periodic Bands (Krupic et al., 2012)concept0.751Discovery of band cells; TEM-t also recapitulates these representations.
- Planarian head number can be permanently altered by re-writing bioelectric prepatterns.
- Interpretation of why memory neurons in the biologically-instantiated transformer architecture acquire place-cell-like properties.
- Collectives have extended temporal perceptual fields, maintaining positional memory that single cells lose.