concept
active
concept:vasocomputationVasocomputation
Unifying framework proposing that Buddhist tanha operates through vascular smooth muscle cells as the brain's compression/prediction infrastructure.
Neighborhood — ranked by edge-count
Papers (1)
paper
- Johnson Vasocomputation 2023implements
Frameworks (3)
framework
- Active InferenceextendsimplementsFoundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.
- Adam Safron's theory positing Self-Organized Harmonic Modes as neural building blocks.
- Neural AnnealingextendsMichael Johnson's prior work on how neural networks (and brains) can be 'annealed' to find optimal states.
Communities (1)
community
- Active Inferencemembers_of
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.
- Mike Johnson's 2023 framework unifying Buddhist phenomenology, Active Inference, and physical reflex; introduces tanha as mental motion.
- The rhythmic contraction and relaxation of vascular smooth muscle; proposed to function as a compression sweep on neural resonances.
- Vasomotion reflex functions as compression sweep collapsing neural ambivalence into definite states; vasomotion motifs are reflexive reactions to uncertainty.
- Biological architecture where multiple competing/cooperating multi-scale agents develop interpretations of molecular and biophysical states rather than committing to single interpretation.
- Contraction of VSMCs that freezes local neural patterns and plasticity for the duration of contraction, functioning as medium-term memory.
- Procedure extracting concept vectors as difference of mean activations between concept-exemplifying and baseline/negative sentences
- Attribute-aligned shifts added to the residual stream to steer LLM generation toward desired personality traits
- Longstanding tradition the paper situates itself within, treating computational complexity as manifesting via physical dynamical phenomena.