Diversity-induced decoherence

Yamakou M, Heinsalu E, Patriarca M, Scialla S (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Physical Review E American Physical Society

Book Volume: 106

Journal Issue: 3

DOI: 10.1103/PhysRevE.106.L032401

Abstract

We analyze the effect of small-amplitude noise and heterogeneity in a network of coupled excitable oscillators with strong timescale separation. Using mean-field analysis, we uncover the mechanism of a nontrivial effect- diversity-induced decoherence (DIDC)-in which heterogeneity modulates the mechanism of self-induced stochastic resonance to inhibit the coherence of oscillations. We argue that DIDC may offer one possible mech-anism via which, in excitable neural systems, generic heterogeneity and background noise can synergistically prevent unwanted resonances that may be related to hyperkinetic movement disorders.

Authors with CRIS profile

Marius Yamakou Department of Data Science

Involved external institutions

National Institute of Chemical Physics and Biophysics / Keemilise ja Bioloogilise Füüsika Instituut (KBFI) EE Estonia (EE)

How to cite

APA:

Yamakou, M., Heinsalu, E., Patriarca, M., & Scialla, S. (2022). Diversity-induced decoherence. Physical Review E, 106(3). https://dx.doi.org/10.1103/PhysRevE.106.L032401

MLA:

Yamakou, Marius, et al. "Diversity-induced decoherence." Physical Review E 106.3 (2022).

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