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Analysis of State-Dependent Transitions in Frequency and Long-Distance Coordination in a Model Oscillatory Cortical Circuit
Authors:David J. Pinto  Stephanie R. Jones  Tasso J. Kaper  Nancy Kopell
Affiliation:(1) Department of Neuroscience, Brown University, Box 1953, Providence, RI 02912, USA;(2) Harvard Medical School, NMR Center, Massachusetts General Hospital, Charlestown, MA 02129, USA;(3) Department of Mathematics and Center for Biodynamics, Boston University, Boston, MA 02215, USA
Abstract:Changes in behavioral state are typically accompanied by changes in the frequency and spatial coordination of rhythmic activity in the neocortex. In this article, we analyze the effects of neuromodulation on ionic conductances in an oscillating cortical circuit model. The model consists of synaptically-coupled excitatory and inhibitory neurons and supports rhythmic activity in the alpha, beta, and gamma ranges. We find that the effects of neuromodulation on ionic conductances are, by themselves, sufficient to induce transitions between synchronous gamma and beta rhythms and asynchronous alpha rhythms. Moreover, these changes are consistent with changes in behavioral state, with the rhythm transitioning from the slower alpha to the faster gamma and beta as arousal increases. We also observe that it is the same set of underlying intrinsic and network mechanisms that appear to be simultaneously responsible for both the observed transitions between the rhythm types and between their synchronization properties. Spike time response curves (STRCs) are used to study the relationship between the transitions in rhythm and the underlying biophysics.
Keywords:rhythms  synchrony  neocortex  neuromodulation  alpha  beta  gamma  arousal
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