Document Detail


Information Transmission Using Non-Poisson Regular Firing.
MedLine Citation:
PMID:  23339613     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
In many cortical areas, neural spike trains do not follow a Poisson process. In this study, we investigate a possible benefit of non-Poisson spiking for information transmission by studying the minimal rate fluctuation that can be detected by a Bayesian estimator. The idea is that an inhomogeneous Poisson process may make it difficult for downstream decoders to resolve subtle changes in rate fluctuation, but by using a more regular non-Poisson process, the nervous system can make rate fluctuations easier to detect. We evaluate the degree to which regular firing reduces the rate fluctuation detection threshold. We find that the threshold for detection is reduced in proportion to the coefficient of variation of interspike intervals.
Authors:
Shinsuke Koyama; Takahiro Omi; Robert E Kass; Shigeru Shinomoto
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-1-22
Journal Detail:
Title:  Neural computation     Volume:  -     ISSN:  1530-888X     ISO Abbreviation:  Neural Comput     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-1-23     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9426182     Medline TA:  Neural Comput     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Department of Statistical Modeling, Institute of Statistical Mathematics, Tokyo 190-8562, Japan. skoyama@ism.ac.jp.
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