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- W2123745704 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." @default.
- W2123745704 created "2016-06-24" @default.
- W2123745704 creator A5009290840 @default.
- W2123745704 creator A5070167718 @default.
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- W2123745704 date "2005-07-21" @default.
- W2123745704 modified "2023-10-12" @default.
- W2123745704 title "NEURAL NETWORK DYNAMICS" @default.
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- W2123745704 doi "https://doi.org/10.1146/annurev.neuro.28.061604.135637" @default.
- W2123745704 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16022600" @default.
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