Multi-chimera states in the Leaky Integrate-and-Fire model
N.D. Tsigkri-DeSmedt, J. Hizanidis, P. Hoevel, A. Provata

TL;DR
This paper investigates how leaky integrate-and-fire neuron networks exhibit chimera states, revealing that refractory periods expand their occurrence and influence their multiplicity, with implications for understanding complex neural dynamics.
Contribution
It introduces the impact of refractory periods on chimera states in leaky integrate-and-fire neurons, expanding the known parameter space for their emergence.
Findings
Refractory periods enlarge the chimera state parameter region.
Refractory periods influence the multiplicity of chimera states.
Chimera states are observed in symmetric non-local coupled neuron networks.
Abstract
We study the dynamics of identical leaky integrate-and-fire neurons with symmetric non-local coupling. Upon varying control parameters (coupling strength, coupling range, refractory period) we investigate the system's behaviour and highlight the formation of chimera states. We show that the introduction of a refractory period enlarges the parameter region where chimera states appear and affects the chimera multiplicity.
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Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · stochastic dynamics and bifurcation · Neural dynamics and brain function
