Stability of spontaneous, correlated activity in mouse auditory cortex.

ABSTRACT: Neural systems can be modeled as complex networks in which neural elements are represented as nodes linked to one another through structural or functional connections. The resulting network can be analyzed using mathematical tools from network science and graph theory to quantify the system's topological organization and to better understand its function. Here, we used two-photon calcium imaging to record spontaneous activity from the same set of cells in mouse auditory cortex over the course of several weeks. We reconstruct functional networks in which cells are linked to one another by edges weighted according to the correlation of their fluorescence traces. We show that the networks exhibit modular structure across multiple topological scales and that these multi-scale modules unfold as

SUBMITTER: Betzel RF 

PROVIDER: S-EPMC6968873 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature