Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types

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Front. Comput. Neurosci., Volume 10

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.