Flow State: A Theory of Gradient Computation
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