Thermodynamic Model of Criticality in the Cortex Based On EEG/ECOG Data

TL;DR

This paper introduces a thermodynamic model of cortical criticality based on EEG/ECOG data, utilizing random graphs and percolation theory to understand brain behavior at multiple scales.

Contribution

It proposes a novel mathematical framework combining thermodynamics and graph theory to analyze cortical criticality from neural data.

Findings

Identification of critical regions in cortical activity

Application of percolation theory to brain data

New insights into brain's critical dynamics

Abstract

Criticality in the cortex emerges from the seemingly random interaction of microscopic components and produces higher cognitive functions at mesoscopic and macroscopic scales. Random graphs and percolation theory provide natural means to de- scribe critical regions in the behavior of the cortex and they are proposed here as novel mathematical tools helping us deciphering the language of the brain.