Neurobiological reality simulation through an Artificial Neural Network at criticality

TL;DR

This paper presents an ANN model operating at criticality that simulates neurobiological membrane potential dynamics and critical fluctuations, offering insights beyond traditional Hodgkin-Huxley models.

Contribution

It introduces a physics-based ANN that captures neurobiological phenomena at criticality, including fluctuations unexplained by classical models.

Findings

ANN simulates membrane potential and order parameter dynamics

Model reproduces critical fluctuations in neuron relaxation phase

Provides a new perspective on neuron behavior beyond Hodgkin-Huxley

Abstract

An artificial neural network (ANN) based on fundamental principles of physics can simulate the operation of neurobiological reality of membrane potential as well as the properly defined order parameter. This ANN operates in conditions of criticality and simulates the behavior of an excitatory biological neuron, especially the relaxation phase where the critical fluctuations of biological neuron appear. These critical fluctuations can not be explained by the Hodgkin-Huxley (H-H) model. A proposal for the origin of these fluctuations is being discussed.