Dresden 2026 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 31: Networks, From Topology to Dynamics – Part I (joint session SOE/DY)
DY 31.2: Vortrag
Mittwoch, 11. März 2026, 10:00–10:15, GÖR/0226
From Quiescence to Synchrony: Noise-Shaped Dynamics in Coupled Neuronal Systems — •Max Contreras1,2 and Philipp Hövel2 — 1Technische Universität Berlin, Germany — 2Saarland University, Saarbrücken, Germany
Stochastic fluctuations are usually regarded as promoters of activity in excitable and oscillatory systems, giving rise to phenomena such as coherence resonance. Here, we show that the opposite can occur in the small-noise regime, where noise can inhibit spiking activity in weakly coupled neuronal units. Using a ring of diffusively coupled, oscillatory FitzHugh-Nagumo neurons, we demonstrate how the interplay of noise and coupling strength generates different collective behaviors. We systematically classify the dynamical scenarios by an in-depth time-series analysis that combines multiple, complementary measures. As a result, we are able to automatically identify distinct dynamical clusters in parameter space: quiescent state, noisy synchronization, complete synchronization, and intermittent switching. The presented workflow can be universally applied in coupled oscillator networks and provides a unified framework to study collective dynamics.
Keywords: Networks; Noise; Weak coupling; Neuronal oscillator