Flow State: A Theory of Gradient Computation

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Authors: Graeme Fawcett
Cited by: 0

Abstract

The standard model of neural computation says neurons compute and vasculature supplies. This paper inverts that claim: gradients compute, neurons route. The brain's computational capacity scales with its exchange surface area—the vascular boundaries where blood, tissue, and glia meet—not with its neuron count. This claim is grounded in the Generalized Holographic Principle (Fields et al. 2022),supported by supply-side metabolic constraints (Herculano-Houzel 2022), and falsifiable against existing perfusion imaging datasets.

Fields of Study & Subjects

Neural dynamics and brain function Cognitive Computing and Networks Philosophy and Theoretical Science

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 February 2026
Document type
Preprint