Document Detail


A copulas approach to neuronal networks models.
MedLine Citation:
PMID:  19941955     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Simultaneous recordings from groups of neurons request to improve models. To switch from single unit description to multivariate models describing the coding activity of two or more neurons, we propose to use the copula notion. This mathematical object catches the coupling properties and allows a mathematical description of the dependencies between two or more random variables. Its use is here illustrated by means of toy examples and further applications are discussed.
Authors:
Laura Sacerdote; Roberta Sirovich
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2009-11-23
Journal Detail:
Title:  Journal of physiology, Paris     Volume:  104     ISSN:  1769-7115     ISO Abbreviation:  J. Physiol. Paris     Publication Date:    2010 May-Sep
Date Detail:
Created Date:  2010-05-03     Completed Date:  2010-07-29     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9309351     Medline TA:  J Physiol Paris     Country:  France    
Other Details:
Languages:  eng     Pagination:  223-30     Citation Subset:  IM    
Copyright Information:
Copyright (c) 2009 Elsevier Ltd. All rights reserved.
Affiliation:
Department of Mathematics G. Peano, University of Torino, Via Carlo Alberto 10, Turin, Italy. laura.sacerdote@unito.it
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MeSH Terms
Descriptor/Qualifier:
Action Potentials / physiology*
Animals
Computer Simulation
Mathematics
Models, Neurological*
Nerve Net / physiology*
Neurons / physiology*
Stochastic Processes

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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