Temporal Correlations and Neural Spike Train Entropy
Journal Article
·
· Physical Review Letters
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 {open_quotes}brute force{close_quotes} approach.
- Sponsoring Organization:
- (US)
- OSTI ID:
- 40204699
- Journal Information:
- Physical Review Letters, Vol. 86, Issue 25; Other Information: DOI: 10.1103/PhysRevLett.86.5823; Othernumber: PRLTAO000086000025005823000001; 032126PRL; PBD: 18 Jun 2001; ISSN 0031-9007
- Publisher:
- The American Physical Society
- Country of Publication:
- United States
- Language:
- English
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