Phase-locking patterns underlying effective communication in exact firing rate models of neural networks.

ABSTRACT: Macroscopic oscillations in the brain have been observed to be involved in many cognitive tasks but their role is not completely understood. One of the suggested functions of the oscillations is to dynamically modulate communication between neural circuits. The Communication Through Coherence (CTC) theory proposes that oscillations reflect rhythmic changes in excitability of the neuronal populations. Thus, populations need to be properly phase-locked so that input volleys arrive at the peaks of excitability of the receiving population to communicate effectively. Here, we present a modeling study to explore synchronization between neuronal circuits connected with unidirectional projections. We consider an Excitatory-Inhibitory (E-I) network of quadratic integrate-and-fire neurons modeling a

SUBMITTER: Reyner-Parra D 

PROVIDER: S-EPMC9154197 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature