Emergence of Slow-Switching Assemblies in Structured Neuronal Networks.

ABSTRACT: Unraveling the interplay between connectivity and spatio-temporal dynamics in neuronal networks is a key step to advance our understanding of neuronal information processing. Here we investigate how particular features of network connectivity underpin the propensity of neural networks to generate slow-switching assembly (SSA) dynamics, i.e., sustained epochs of increased firing within assemblies of neurons which transition slowly between different assemblies throughout the network. We show that the emergence of SSA activity is linked to spectral properties of the asymmetric synaptic weight matrix. In particular, the leading eigenvalues that dictate the slow dynamics exhibit a gap with respect to the bulk of the spectrum, and the associated Schur vectors exhibit a measure of block-localizat

SUBMITTER: Schaub MT 

PROVIDER: S-EPMC4503787 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature