1932

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: () sustained responses to transient stimuli, which provide a model of working memory; () oscillatory network activity; and () 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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/content/journals/10.1146/annurev.neuro.28.061604.135637
2005-07-21
2024-06-15
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  • Article Type: Review Article
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