Regensburg 2025 – wissenschaftliches Programm

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 7: Focus Session: Self-Regulating and Learning Systems: from Neural to Social Networks

SOE 7.6: Topical Talk

Mittwoch, 19. März 2025, 11:15–11:45, H45

Self-organization in neural systems — •Philipp Hövel — Saarland University, Saarbrücken, Germany

Key feature of networked neural systems is the emergence of self-organized, collective dynamics giving rise to various forms of synchronization: The network is more that the sum of its parts. The nodes equiped with a neural model exhibit rich dynamical scenarious depending on the topology and type of coupling, which might also involve transmission delays due to finite signal propagation speed. In my talk, I will review a number of studies on coupled neural systems, where the considered examples include empirical, artificial, and adaptive networks. I will finish with recent results on network-induced inhibition giving rise to avalanches of neural activity interspersed by with long periods of quiescence.

Keywords: self-organization; neural systems; synchronization; delay; adaptive systems