Document Detail


Extracting oscillations. Neuronal coincidence detection with noisy periodic spike input.
MedLine Citation:
PMID:  9804669     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
R Kempter; W Gerstner; J L van Hemmen; H Wagner
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Neural computation     Volume:  10     ISSN:  0899-7667     ISO Abbreviation:  Neural Comput     Publication Date:  1998 Nov 
Date Detail:
Created Date:  1998-12-02     Completed Date:  1998-12-02     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9426182     Medline TA:  Neural Comput     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1987-2017     Citation Subset:  IM    
Affiliation:
Theoretische Physik, Physik Department, München, James Franck Strasse, D 85747, DE. kempter@Physik.TU-Muenchen.DE
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MeSH Terms
Descriptor/Qualifier:
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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