preprint: neural spike trains

[Simon Schultz]

Dear Connectionists,

The following preprint is available for downloading:

S. R. Schultz and S. Panzeri (2001), Temporal correlations and neural
spike train entropy. Physical Review Letters, in press.

Abstract:
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 upon 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.

A preprint (4 pages in PDF format) can now be downloaded:
http://www.cns.nyu.edu/~schultz/tempent.pdf
It can also be obtained from the Los Alamos archive:
http://arXiv.org/abs/physics/0001006

Cheers,
Simon Schultz


-- 
Dr. Simon R. Schultz                         Phone: +1-212 998 3775
Howard Hughes Medical Institute &            Fax: +1-212 995 4011
Center for Neural Science,                   Email:schultz at cns.nyu.edu
New York University, 4 Washington Place, New York NY 10003, U.S.A.    
http://www.cns.nyu.edu/~schultz/