Wilson, M. T., Steyn-Ross, D. A., Steyn-Ross, M. L., Sleigh, J. W., Gillies, I.-P. & Hailstone, D. J. (2010). What can a mean-field model tell us about the dynamics of the cortex?. In D. A. Steyn-Ross & M. Steyn-Ross (Eds), Modeling Phase Transitions in the Brain. (pp. 223-242). New York, USA: Springer.
Permanent Research Commons link: https://hdl.handle.net/10289/3739
In this chapter we examine the dynamical behavior of a spatially homogeneous two-dimensional model of the cortex that incorporates membrane potential, synaptic flux rates and long- and short-range synaptic input, in two spatial dimensions, using parameter sets broadly realistic of humans and rats. When synaptic dynamics are included, the steady states may not be stable. The bifurcation structure for the spatially symmetric case is explored, identifying the positions of saddle–node and sub- and supercritical Hopf instabilities. We go beyond consideration of small-amplitude perturbations to look at nonlinear dynamics. Spatially-symmetric (breathing mode) limit cycles are described, as well as the response to spatially-localized impulses. When close to Hopf and saddle–node bifurcations, such impulses can cause traveling waves with similarities to the slow oscillation of slow-wave sleep. Spiral waves can also be induced. We compare model dynamics with the known behavior of the cortex during natural and anesthetic-induced sleep, commenting on the physiological significance of the limit cycles and impulse responses.
This is an author’s accepted version of an article published in the book: Modeling Phase Transitions in the Brain. © 2010 Springer Science+Business Media, LLC.