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29 March 2024
 
  » pubmed » pmid11415367

 Article overview


Temporal correlations and neural spike train entropy
S R Schultz ; S Panzeri ;
Date 18 Jun 2001
Journal Phys Rev Lett, 86 (25), 5823-6
AbstractSampling 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.
Source PubMed, pmid11415367
Other source [GID 45975] physics/0001006
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