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Lookup NU author(s): Dr Stefano Panzeri
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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.
Author(s): Schultz SR, Panzeri S
Publication type: Article
Publication status: Published
Journal: Physical Review Letters
Year: 2001
Volume: 86
Issue: 25
Pages: 5823-5826
ISSN (print): 0031-9007
ISSN (electronic): 1079-7114
Publisher: American Physical Society
URL: http://dx.doi.org/10.1103/PhysRevLett.86.5823
DOI: 10.1103/PhysRevLett.86.5823
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