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bioRxiv · 10.1101/2021.10.11.463861

A reservoir of timescales in random neural networks

Stern, M.·Istrate, N.·Mazzucato, L.
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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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Stern, M., Istrate, N., Mazzucato, L.. 2021-10-12. A reservoir of timescales in random neural networks. https://doi.org/10.1101/2021.10.11.463861

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