Criticality enhances the multilevel reliability of stimulus responses in cortical neural networks.

ABSTRACT: Cortical neural networks exhibit high internal variability in spontaneous dynamic activities and they can robustly and reliably respond to external stimuli with multilevel features-from microscopic irregular spiking of neurons to macroscopic oscillatory local field potential. A comprehensive study integrating these multilevel features in spontaneous and stimulus-evoked dynamics with seemingly distinct mechanisms is still lacking. Here, we study the stimulus-response dynamics of biologically plausible excitation-inhibition (E-I) balanced networks. We confirm that networks around critical synchronous transition states can maintain strong internal variability but are sensitive to external stimuli. In this dynamical region, applying a stimulus to the network can reduce the trial-to-trial varia

SUBMITTER: Liang J 

PROVIDER: S-EPMC8830719 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature