Modular architecture facilitates noise-driven control of synchrony in neuronal networks.

ABSTRACT: High-level information processing in the mammalian cortex requires both segregated processing in specialized circuits and integration across multiple circuits. One possible way to implement these seemingly opposing demands is by flexibly switching between states with different levels of synchrony. However, the mechanisms behind the control of complex synchronization patterns in neuronal networks remain elusive. Here, we use precision neuroengineering to manipulate and stimulate networks of cortical neurons in vitro, in combination with an in silico model of spiking neurons and a mesoscopic model of stochastically coupled modules to show that (i) a modular architecture enhances the sensitivity of the network to noise delivered as external asynchronous stimulation and that (ii) the persisten

SUBMITTER: Yamamoto H 

PROVIDER: S-EPMC10456864 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature