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        <dc:title>Neural network dynamics</dc:title>
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        <bibo: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.</bibo:abstract>
        <bibo:volume>28</bibo:volume>
        <bibo:issue>1</bibo:issue>
        <bibo:startPage>357-376</bibo:startPage>
        <bibo:endPage>357-376</bibo:endPage>
        <dc:publisher>Annual Reviews</dc:publisher>
        <bibo:doi rdf:resource="10.1146/annurev.neuro.28.061604.135637" />
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