A Reservoir of Timescales in Random Neural Network
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Date
2022-10-04
Authors
Istrate, Nicolae
Journal Title
Journal ISSN
Volume Title
Publisher
University of Oregon
Abstract
The temporal activity of many biological systems, including neural circuits, exhibits fluctuations simultaneously varying over a large range of timescales. The mechanisms leading to this temporal heterogeneity are yet unknown. Here we show that random neural networks endowed with a distribution of self-couplings, representing functional neural clusters of different sizes, generate multiple timescales of activity spanning several orders of magnitude. When driven by a time-dependent broadband input, slow and fast neural clusters preferentially entrain slow and fast spectral components of the input, respectively, suggesting a potential mechanism for spectral demixing in cortical circuits.
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Keywords
Clusters, Heterogeneous, Networks, RNN, Timescales