Berlin 2018 – wissenschaftliches Programm

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 16: Networks: From Topology to Dynamics (joint session DY/SOE)

SOE 16.3: Vortrag

Mittwoch, 14. März 2018, 16:00–16:15, MA 001

Self-organized cluster formation in neural networks — •Rico Berner^1,2, Eckehard Schöll¹, and Serhiy Yanchuk² — ¹Institut für Theoretische Physik, Technische Universität Berlin, Germany — ²Institut für Mathematik, Technische Universität Berlin, Germany

We investigate collective behaviour in a network of adaptively coupled phase oscillators, where the coupling topology depends on the dynamics of oscillators. We show that such a system gives rise to numerous dynamics, including hierarchical multi-clusters and chimera states. Our numerical and analytical results are compared and interpreted with respect to pattern formation due to learning processes and the multi-layer structure of the human brain.