Metastable dynamics emerge from local excitatory-inhibitory homeostasis in the cortex at rest.

ABSTRACT: The dynamics of the human cortex are highly metastable, driving the spontaneous exploration of network states. This metastability depends on circuit-level edge-of-bifurcation dynamics, which emerge from firing-rate control through multiple mechanisms of excitatory-inhibitory (E-I) homeostasis. However, it is unclear how these contribute to the metastability of cortical networks. We propose that individual mechanisms of the E-I homeostasis contribute uniquely to the emergence of resting-state dynamics and test this hypothesis in a large-scale model of the human cortex. We show that empirical connectivity and dynamics can only be reproduced when accounting for multiple mechanisms of the E-I homeostasis. More specifically, while the homeostasis of excitation and inhibition enhances metastabil

SUBMITTER: Pascoa Dos Santos F 

PROVIDER: S-EPMC12543307 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature