arXiv · 2110.09165
A reservoir of timescales in random neural networks
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 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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Merav Stern, Nicolae Istrate, Luca Mazzucato. 2021-10-18. A reservoir of timescales in random neural networks. https://arxiv.org/abs/2110.09165
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