Mapping the connection between computational models and brain anatomy reveals insights into self-awareness.
Sci - Brain Anatomy Mapping: From Synapses to Self-Awareness Armstrong Knight — intent-tensor-theory.com The complete mapping between the Coordinate Manifold Architecture (CMA) and human brain anatomy is presented, grounding each computational layer in its neurobiological counterpart. Beginning at the Hodgkin-Huxley neuron model, the paper builds upward through synaptic plasticity (STDP), network synchronization (Kuramoto model), integrated information (Tononi Phi), and global workspace ignition. Each CMA coordinate is mapped to a specific brain region, establishing a functional isomorphism. Running implementation: intent-tensor-theory.com/applied-itt
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Armstrong Knight (2026) studied this question.
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