Synchronous Clusters in a Noisy Inhibitory Neural Network
Synchronous Clusters in a Noisy Inhibitory Neural Network
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United States: Springer Nature B.V
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English
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United States: Springer Nature B.V
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We study the stability and information encoding capacity of synchronized states in a neuronal network model that represents part of thalamic circuitry. Our model neurons have a Hodgkin-Huxley-type low-threshold calcium channel, display postinhibitory rebound, and are connected via GABAergic inhibitory synapses. We find that there is a threshold in...
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Synchronous Clusters in a Noisy Inhibitory Neural Network
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TN_cdi_proquest_miscellaneous_71764953
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_71764953
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ISSN
0929-5313
E-ISSN
1573-6873
DOI
10.1023/A:1008986311274
