Document Type
Article
Publication Date
10-1-2020
Abstract
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Rights Information
© 2020 The Author(s).
Recommended Citation
Mitchell HM, Dodds PS, Mahoney JM, Danforth CM. Chimera States and Seizures in a Mouse Neuronal Model. International Journal of Bifurcation and Chaos. 2020 Oct;30(13):2050256.
DOI
10.1142/S0218127420502569