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 Berner1,2, 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.