Review
doi: 10.1146/annurev.neuro.28.061604.135637.
Neural network dynamics
Affiliations
- PMID: 16022600
- DOI: 10.1146/annurev.neuro.28.061604.135637
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Review
Neural network dynamics
Annu Rev Neurosci.
2005.
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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