Chimera states---the coexistence of synchrony and asynchrony in a nonlocally-coupled network of identical oscillators---are often used as a model framework for epileptic seizures. Here, we explore the dynamics of chimera states in a network of modified Hindmarsh-Rose neurons, configured to reflect the graph of the mesoscale mouse connectome. Our model produces superficially epileptiform activity converging on persistent chimera states in a large region of a two-parameter space governing connections (a) between subcortices within a cortex and (b) between cortices. Our findings contribute to a growing body of literature suggesting mathematical models can qualitatively reproduce epileptic seizure dynamics.
@article{arxiv.1908.07039,
title = {Chimera States and Seizures in a Mouse Neuronal Model},
author = {Henry M. Mitchell and Peter Sheridan Dodds and J. Matthew Mahoney and Christopher M. Danforth},
journal= {arXiv preprint arXiv:1908.07039},
year = {2020}
}