| Extracting oscillations. Neuronal coincidence detection with noisy periodic spike input. | |
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MedLine Citation:
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PMID: 9804669 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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How does a neuron vary its mean output firing rate if the input changes from random to oscillatory coherent but noisy activity? What are the critical parameters of the neuronal dynamics and input statistics? To answer these questions, we investigate the coincidence-detection properties of an integrate-and-fire neuron. We derive an expression indicating how coincidence detection depends on neuronal parameters. Specifically, we show how coincidence detection depends on the shape of the postsynaptic response function, the number of synapses, and the input statistics, and we demonstrate that there is an optimal threshold. Our considerations can be used to predict from neuronal parameters whether and to what extent a neuron can act as a coincidence detector and thus can convert a temporal code into a rate code. |
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Authors:
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R Kempter; W Gerstner; J L van Hemmen; H Wagner |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Neural computation Volume: 10 ISSN: 0899-7667 ISO Abbreviation: Neural Comput Publication Date: 1998 Nov |
Date Detail:
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Created Date: 1998-12-02 Completed Date: 1998-12-02 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9426182 Medline TA: Neural Comput Country: UNITED STATES |
Other Details:
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Languages: eng Pagination: 1987-2017 Citation Subset: IM |
Affiliation:
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Theoretische Physik, Physik Department, München, James Franck Strasse, D 85747, DE. kempter@Physik.TU-Muenchen.DE |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Membrane Potentials Models, Neurological* Models, Statistical Neural Networks (Computer)* Neurons / physiology* Oscillometry Synapses / physiology* Synaptic Transmission |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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