Asymmetric adaptivity induces recurrent synchronization in complex networks
Autor: | Max Thiele, Rico Berner, Peter A. Tass, Eckehard Schöll, Serhiy Yanchuk |
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Jazyk: | angličtina |
Rok vydání: | 2023 |
Předmět: |
Applied Mathematics
500 Naturwissenschaften und Mathematik::530 Physik::530 Physik mathematical modeling FOS: Physical sciences General Physics and Astronomy Statistical and Nonlinear Physics dynamical systems Nonlinear Sciences - Adaptation and Self-Organizing Systems coupled oscillators network theory chaos synchronization nonlinear systems Adaptation and Self-Organizing Systems (nlin.AO) Mathematical Physics complex adaptive systems |
DOI: | 10.14279/depositonce-17578 |
Popis: | Rhythmic activities that alternate between coherent and incoherent phases are ubiquitous in chemical, ecological, climate, or neural systems. Despite their importance, general mechanisms for their emergence are little understood. In order to fill this gap, we present a framework for describing the emergence of recurrent synchronization in complex networks with adaptive interactions. This phenomenon is manifested at the macroscopic level by temporal episodes of coherent and incoherent dynamics that alternate recurrently. At the same time, the dynamics of the individual nodes do not change qualitatively. We identify asymmetric adaptation rules and temporal separation between the adaptation and the dynamics of individual nodes as key features for the emergence of recurrent synchronization. Our results suggest that asymmetric adaptation might be a fundamental ingredient for recurrent synchronization phenomena as seen in pattern generators, e.g., in neuronal systems. |
Databáze: | OpenAIRE |
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