Relating local connectivity and global dynamics in recurrent excitatory-inhibitory networks.

ABSTRACT: How the connectivity of cortical networks determines the neural dynamics and the resulting computations is one of the key questions in neuroscience. Previous works have pursued two complementary approaches to quantify the structure in connectivity. One approach starts from the perspective of biological experiments where only the local statistics of connectivity motifs between small groups of neurons are accessible. Another approach is based instead on the perspective of artificial neural networks where the global connectivity matrix is known, and in particular its low-rank structure can be used to determine the resulting low-dimensional dynamics. A direct relationship between these two approaches is however currently missing. Specifically, it remains to be clarified how local connectivity

SUBMITTER: Shao Y 

PROVIDER: S-EPMC9894562 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature