Less is more: wiring-economical modular networks support self-sustained firing-economical neural avalanches for efficient processing.

ABSTRACT: The brain network is notably cost-efficient, while the fundamental physical and dynamic mechanisms underlying its economical optimization in network structure and activity have not been determined. In this study, we investigate the intricate cost-efficient interplay between structure and dynamics in biologically plausible spatial modular neuronal network models. We observe that critical avalanche states from excitation-inhibition balance under modular network topology with less wiring cost can also achieve lower costs in firing but with strongly enhanced response sensitivity to stimuli. We derive mean-field equations that govern the macroscopic network dynamics through a novel approximate theory. The mechanism of low firing cost and stronger response in the form of critical avalanches is e

SUBMITTER: Liang J 

PROVIDER: S-EPMC8962757 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature