RT Journal Article SR Electronic T1 A reservoir of timescales in random neural networks JF bioRxiv FD Cold Spring Harbor Laboratory SP 2021.10.11.463861 DO 10.1101/2021.10.11.463861 A1 Merav Stern A1 Nicolae Istrate A1 Luca Mazzucato YR 2021 UL http://biorxiv.org/content/early/2021/10/12/2021.10.11.463861.abstract AB 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. occur.Competing Interest StatementThe authors have declared no competing interest.