Biologypreprint2026-08-17

The Brain as the Densest Low-Resistance Pathway Network: Theorem Two from the Physical Derivation for Carbon-Based Life

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Abstract

This paper presents a physical derivation of the brain as the densest low-resistance pathway network that must emerge in any multicellular carbon-based system where charge flow is sustained by exogenous electrochemical potential gradients. Proceeding from the same physical principles that independently derive the heart as the geometrically predetermined dissipation center—the second law of thermodynamics and Ohm's law with path-dependent conductivity—we demonstrate that the brain is not a biological organ designed for information processing, but the physical region where charge flow most frequently intersects, leaving behind the highest density of facilitated conduction pathways. Memory is not a function performed by the brain; memory is the low-resistance pathways themselves. The brain's core attributes—passivity, plasticity, distributed architecture, hijackability, extreme fragility, and the engineering necessity of sleep—are all derived as necessary consequences of a dense low-resistance network operating under internal noise. Prediction, imagination, and counterfactual reasoning are shown to be passive circuit behaviors of a self-exciting resistive network driven by irreducible internal noise sources. This paper is the second of two physical structure-level deductions from the physical derivation for carbon-based life [1]—the heart as the contingency shield [2], the brain as the contingency catcher. Together with the core derivation and the heart deduction, these three papers constitute a complete physical proof: axioms stated, two symmetric theorems independently verified.

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-17

Authors: Menggang Yu