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The International Journal of Neuroscience|January 1, 1981
Entropy as an index of the informational state of neuronsC J Sherry, W R KlemmThe International Journal of Neuroscience|September 1, 1982
Failure of large doses of ethanol to eliminate Markovian serial dependencies in neuronal spike train intervalsC J Sherry, W R KlemmThe International Journal of Neuroscience|January 1, 1981
Serial ordering in spike trains: what's it "trying to tell us"?W R Klemm, C J SherryExperientia|January 15, 1981
Entropy measures of signal in the presence of noise: evidence for 'byte' versus 'bit' processing in the nervous systemW R Klemm, C J SherryBrain Research Bulletin|May 1, 1980
An information coding system that seems to be independent of noise and variabilityC J Sherry, W R KlemmThe International Journal of Neuroscience|September 1, 1982
Divergence from statistical independence in specified clusters of adjacent neuronal spike train intervals before and after ethanol state changesC J Sherry, W R KlemmThe International Journal of Neuroscience|January 1, 1980
The statistical relationship between the "entropy" of a neuronal signal and its variabilityC J Sherry, W R KlemmJournal of Neuroscience Methods|March 1, 1984
What is the meaningful measure of neuronal spike train activity?C J Sherry, W R KlemmBrain Research Bulletin|March 1, 1980
A comparison of two techniques for analyzing neuronal interspike intervals: autocorrelation and relative interval codingC J Sherry, W R KlemmNeuroscience and Biobehavioral Reviews|January 1, 1982
Do neurons process information by relative intervals in spike trains?W R Klemm, C J SherryPageof 9