A reservoir of timescales in random neural networks
Disordered Systems and Neural Networks
2022-08-03 v2 Chaotic Dynamics
Neurons and Cognition
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.
Cite
@article{arxiv.2110.09165,
title = {A reservoir of timescales in random neural networks},
author = {Merav Stern and Nicolae Istrate and Luca Mazzucato},
journal= {arXiv preprint arXiv:2110.09165},
year = {2022}
}