Dimensional reduction of emergent spatiotemporal cortical dynamics via a maximum entropy moment closure.

ABSTRACT: Modern electrophysiological recordings and optical imaging techniques have revealed a diverse spectrum of spatiotemporal neural activities underlying fundamental cognitive processing. Oscillations, traveling waves and other complex population dynamical patterns are often concomitant with sensory processing, information transfer, decision making and memory consolidation. While neural population models such as neural mass, population density and kinetic theoretical models have been used to capture a wide range of the experimentally observed dynamics, a full account of how the multi-scale dynamics emerges from the detailed biophysical properties of individual neurons and the network architecture remains elusive. Here we apply a recently developed coarse-graining framework for reduced-dimensio

SUBMITTER: Shao Y 

PROVIDER: S-EPMC7304648 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature