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<titleInfo><title>Neural network dynamics</title></titleInfo>


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  <namePart type="given">Tim P</namePart>
  <namePart type="family">Vogels</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">CB6FF8D2-008F-11EA-8E08-2637E6697425</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0003-3295-6181</description></name>
<name type="personal">
  <namePart type="given">Kanaka</namePart>
  <namePart type="family">Rajan</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">L.F.</namePart>
  <namePart type="family">Abbott</namePart>
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<abstract lang="eng">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.</abstract>

<originInfo><publisher>Annual Reviews</publisher><dateIssued encoding="w3cdtf">2005</dateIssued>
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<relatedItem type="host"><titleInfo><title>Annual Review of Neuroscience</title></titleInfo>
  <identifier type="issn">0147-006X</identifier>
  <identifier type="issn">1545-4126</identifier>
  <identifier type="MEDLINE">16022600</identifier><identifier type="doi">10.1146/annurev.neuro.28.061604.135637</identifier>
<part><detail type="volume"><number>28</number></detail><detail type="issue"><number>1</number></detail><extent unit="pages">357-376</extent>
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<mla>Vogels, Tim P., et al. “Neural Network Dynamics.” &lt;i&gt;Annual Review of Neuroscience&lt;/i&gt;, vol. 28, no. 1, Annual Reviews, 2005, pp. 357–76, doi:&lt;a href=&quot;https://doi.org/10.1146/annurev.neuro.28.061604.135637&quot;&gt;10.1146/annurev.neuro.28.061604.135637&lt;/a&gt;.</mla>
<chicago>Vogels, Tim P, Kanaka Rajan, and L.F. Abbott. “Neural Network Dynamics.” &lt;i&gt;Annual Review of Neuroscience&lt;/i&gt;. Annual Reviews, 2005. &lt;a href=&quot;https://doi.org/10.1146/annurev.neuro.28.061604.135637&quot;&gt;https://doi.org/10.1146/annurev.neuro.28.061604.135637&lt;/a&gt;.</chicago>
<apa>Vogels, T. P., Rajan, K., &amp;#38; Abbott, L. F. (2005). Neural network dynamics. &lt;i&gt;Annual Review of Neuroscience&lt;/i&gt;. Annual Reviews. &lt;a href=&quot;https://doi.org/10.1146/annurev.neuro.28.061604.135637&quot;&gt;https://doi.org/10.1146/annurev.neuro.28.061604.135637&lt;/a&gt;</apa>
<ista>Vogels TP, Rajan K, Abbott LF. 2005. Neural network dynamics. Annual Review of Neuroscience. 28(1), 357–376.</ista>
<ama>Vogels TP, Rajan K, Abbott LF. Neural network dynamics. &lt;i&gt;Annual Review of Neuroscience&lt;/i&gt;. 2005;28(1):357-376. doi:&lt;a href=&quot;https://doi.org/10.1146/annurev.neuro.28.061604.135637&quot;&gt;10.1146/annurev.neuro.28.061604.135637&lt;/a&gt;</ama>
<short>T.P. Vogels, K. Rajan, L.F. Abbott, Annual Review of Neuroscience 28 (2005) 357–376.</short>
<ieee>T. P. Vogels, K. Rajan, and L. F. Abbott, “Neural network dynamics,” &lt;i&gt;Annual Review of Neuroscience&lt;/i&gt;, vol. 28, no. 1. Annual Reviews, pp. 357–376, 2005.</ieee>
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