Document Type
Article
Abstract
Chimera states occur when identically coupled groups of nonlinear oscillators exhibit radically different dynamics, with one group exhibiting synchronized oscillations and the other desynchronized behavior. This dynamical phenomenon has recently been studied in computational models and demonstrated experimentally in mechanical, optical, and chemical systems. The theoretical basis of these states is currently under active investigation. Chimera behavior is of particular relevance in the context of neural synchronization, given the phenomenon of unihemispheric sleep and the recent observation of asymmetric sleep in human patients with sleep apnea. The similarity of neural chimera states to neural “bump” states, which have been suggested as a model for working memory and visual orientation tuning in the cortex, adds to their interest as objects of study. Chimera states have been demonstrated in the FitzHughNagumo model of excitable cells and in the Hindmarsh-Rose neural model. Here, we demonstrate chimera states and chimera-like behaviors in a Hodgkin-Huxley-type model of thermally sensitive neurons both in a system with Abrams-Strogatz (mean field) coupling and in a system with Kuramoto (distance-dependent) coupling. We map the regions of parameter space for which chimera behavior occurs in each of the two coupling schemes
Publication Date
January 2016
Publication Title
Chaos
Volume
26
Issue
8
First Page
83119
DOI
10.1063/1.4961122
Recommended Citation
Glaze, Tera; Lewis, Scott; and Bahar, Sonya, "Chimera states in a Hodgkin-Huxley model of thermally sensitive neurons" (2016). Physics Faculty Works. 10.
DOI: https://doi.org/10.1063/1.4961122
Available at:
https://irl.umsl.edu/physics-faculty/10
Comments
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in [Glaze, T.A., Lewis, S., and Bahar, S. (2016). Chimera states in a Hodgkin-Huxley model of thermally sensitive neurons. Chaos: An Interdisciplinary Journal of Nonlinear Science 26, 083119.] and may be found at https://doi.org/10.1063/1.4961122.