Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types
von Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types, Rodrigo F. O. Pena, Antonio C. Roque, Michael A. Zaks
Jahr:
2016
Publikation:
Front. Comput. Neurosci., Volume 10
Abstrakt:
In a network with a mixture of different electrophysiological types of neurons linked by excitatory and inhibitory connections, temporal evolution leads through repeated epochs of intensive global activity separated by intervals with low activity level. This behavior mimics “up” and “down” states, experimentally observed in cortical tissues in absence of external stimuli. We interpret global dynamical features in terms of individual dynamics of the neurons.
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