vascular-clamp

name	vascular-clamp
description	Vascular Clamp Hypothesis (VCH) — vascular contraction freezes local neural patterns and plasticity for its duration, storing a specific active-inference prediction as vascular tension = medium-term memory. Use when modeling predictions-as-tension, the FEP-AI top-down model store, or the witness/hold step of vasocomputation.
license	MIT
metadata	{"trit":0,"source":"https://opentheory.net/2023/07/principles-of-vasocomputation-a-unification-of-buddhist-phenomenology-active-inference-and-physical-reflex-part-i/"}

vascular-clamp

The Vascular Clamp Hypothesis (VCH) (Johnson 2023): a vascular contraction freezes local neural patterns and plasticity for the duration of the contraction — like collapsing a superposition, clamping a harmonic system, or pinching a critical network into a definite circuit. Specific vascular constrictions correspond to specific predictions in the Active Inference framework and function as medium-term memory. This is the 0 / witness leg of the vasocomputation timescale triad: the clamp that holds what was collapsed.

Use When

• Modeling an active-inference prediction stored as a held vascular constriction (the missing FEP-AI top-down store)
• Representing medium-term memory as sustained tension rather than synaptic change
• Bridging "to-do list as predictions" (untrue observations held until acted upon) to a somatic accumulator
• The witness/hold phase between the fast CVH sweep and the durable LHH latch