Cognitive network interactions through communication subspaces in large-scale models of the neocortex.

ABSTRACT: Neocortex-wide neural activity is organized into distinct networks of areas engaged in different cognitive processes. To elucidate the underlying mechanism of flexible network reconfiguration, we developed connectivity-constrained macaque and human whole-cortex models. In our model, within-area connectivity consists of a mixture of symmetric, asymmetric, and random motifs that give rise to stable (attractor) or transient (sequential) heterogeneous dynamics. Assuming sparse low-rank plus random inter-areal connectivity constrained by cognitive networks' activation maps, we show that our model captures key aspects of the cognitive networks' dynamics and interactions observed experimentally. In particular, the anti-correlation between the default mode network and the dorsal attention network.

SUBMITTER: Pereira-Obilinovic U 

PROVIDER: S-EPMC11566003 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature