Maintenance of delay-period activity in working memory task is modulated by local network structure.

ABSTRACT: Revealing the relationship between neural network structure and function is one central theme of neuroscience. In the context of working memory (WM), anatomical data suggested that the topological structure of microcircuits within WM gradient network may differ, and the impact of such structural heterogeneity on WM activity remains unknown. Here, we proposed a spiking neural network model that can replicate the fundamental characteristics of WM: delay-period neural activity involves association cortex but not sensory cortex. First, experimentally observed receptor expression gradient along the WM gradient network is reproduced by our network model. Second, by analyzing the correlation between different local structures and duration of WM activity, we demonstrated that small-worldness, exci

SUBMITTER: Yu D 

PROVIDER: S-EPMC11398668 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature