Linked Life Data

11415367

Source:http://linkedlifedata.com/resource/pubmed/id/11415367

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
25
pubmed:dateCreated
2001-6-20
pubmed:abstractText
Sampling considerations limit the experimental conditions under which information theoretic analyses of neurophysiological data yield reliable results. We develop a procedure for computing the full temporal entropy and information of ensembles of neural spike trains, which performs reliably for limited samples of data. This approach also yields insight to the role of correlations between spikes in temporal coding mechanisms. The method, when applied to recordings from complex cells of the monkey primary visual cortex, results in lower rms error information estimates in comparison to a "brute force" approach.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0031-9007
pubmed:author
pubmed:issnType
Print
pubmed:day
18
pubmed:volume
86
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
5823-6
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Temporal correlations and neural spike train entropy.
pubmed:affiliation
Howard Hughes Medical Institute and Center for Neural Science, New York University, 4 Washington Place, New York, New York 10003, USA.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't