What question did this study set out to answer?

The study aims to establish a complete mapping between computational models and neurobiological structures in the human brain.

April 6, 2026Open Access

Sci - Brain Anatomy Mapping: From Synapses to Self-Awareness

Puntos clave

The study aims to establish a complete mapping between computational models and neurobiological structures in the human brain.
Utilized the Hodgkin-Huxley neuron model as a foundation.
Built upward through concepts like synaptic plasticity and network synchronization.
Established mappings from computational layers to specific brain regions.
Found functional isomorphism between computational models and brain anatomy.
Demonstrated links between neural mechanisms and self-awareness.
Mapped neurobiological concepts to computational frameworks.

Resumen

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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