Neural network dynamics.

Tim P Vogels; Kanaka Rajan; L F Abbott

doi:10.1146/annurev.neuro.28.061604.135637

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Neural network dynamics.

Tim P Vogels·Kanaka Rajan·L F Abbott

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Abstract

Neural network modeling is often concerned with stimulus-driven responses, but most of the activity in the brain is internally generated. Here, we review network models of internally generated activity, focusing on three types of network dynamics: (a) sustained responses to transient stimuli, which provide a model of working memory; (b) oscillatory network activity; and (c) chaotic activity, which models complex patterns of background spiking in cortical and other circuits. We also review propagation of stimulus-driven activity through spontaneously active networks. Exploring these aspects of neural network dynamics is critical for understanding how neural circuits produce cognitive function.

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Action Potentials Animals Humans Nerve Net Neural Networks, Computer Nonlinear Dynamics Signal Processing, Computer-Assisted Time Factors Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.Research Support, U.S. Gov't, P.H.S.Review

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Tim P Vogels, Kanaka Rajan, L F Abbott. 2005. Neural network dynamics.. https://doi.org/10.1146/annurev.neuro.28.061604.135637

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