%0 Journal Article %1 Vogels:2005 %A Vogels, Tim P. %A Rajan, Kanaka %A Abbott, L.F. %D 2005 %J Annual Review of Neuroscience %K activity balance, memory, propagation, signal states, sustained %P 357-376 %T NEURAL NETWORK DYNAMICS %V 28 %X 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.

@article{Vogels: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.}, added-at = {2009-06-26T15:25:19.000+0200}, author = {Vogels, Tim P. and Rajan, Kanaka and Abbott, L.F.}, biburl = {https://www.bibsonomy.org/bibtex/2ad4623d2fdef9104ce2f10eed645c707/butz}, description = {diverse cognitive systems bib}, interhash = {1be404533c585d513565412a53529e7a}, intrahash = {ad4623d2fdef9104ce2f10eed645c707}, journal = {Annual Review of Neuroscience}, keywords = {activity balance, memory, propagation, signal states, sustained}, owner = {butz}, pages = {357-376}, timestamp = {2009-06-26T15:25:59.000+0200}, title = {NEURAL NETWORK DYNAMICS}, volume = 28, year = 2005 }