Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity.

ABSTRACT: Bottom-up models of functionally relevant patterns of neural activity provide an explicit link between neuronal dynamics and computation. A prime example of functional activity patterns are propagating bursts of place-cell activities called hippocampal replay, which is critical for memory consolidation. The sudden and repeated occurrences of these burst states during ongoing neural activity suggest metastable neural circuit dynamics. As metastability has been attributed to noise and/or slow fatigue mechanisms, we propose a concise mesoscopic model which accounts for both. Crucially, our model is bottom-up: it is analytically derived from the dynamics of finite-size networks of Linear-Nonlinear Poisson neurons with short-term synaptic depression. As such, noise is explicitly linked to stoch

SUBMITTER: Pietras B 

PROVIDER: S-EPMC9822116 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature