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The Journal of Neurophysiology Vol. 86 No. 6 December 2001, pp. 2789-2806
Copyright ©2001 by the American Physiological Society
1Keck Center for Integrative Neuroscience and Department of Physiology, 2Sloan-Swartz Center for Theoretical Neurobiology, and 3Department of Otolaryngology, University of California, San Francisco, California 94143-0444
Liu, Robert C.,
Svilen Tzonev,
Sergei Rebrik, and
Kenneth D. Miller.
Variability and Information in a Neural Code of the Cat Lateral
Geniculate Nucleus. J. Neurophysiol. 86: 2789-2806, 2001. A central theme in neural coding concerns
the role of response variability and noise in determining the
information transmission of neurons. This issue was investigated in
single cells of the lateral geniculate nucleus of
barbiturate-anesthetized cats by quantifying the degree of precision in
and the information transmission properties of individual spike train
responses to full field, binary (bright or dark), flashing stimuli. We
found that neuronal responses could be highly reproducible in their
spike timing (~1-2 ms standard deviation) and spike count (~0.3
ratio of variance/mean, compared with 1.0 expected for a Poisson
process). This degree of precision only became apparent when an
adequate length of the stimulus sequence was specified to determine the
neural response, emphasizing that the variables relevant to a cell's
response must be controlled to observe the cell's intrinsic response
precision. Responses could carry as much as 3.5 bits/spike of
information about the stimulus, a rate that was within a factor of two
of the limit the spike train could transmit. Moreover, there appeared to be little sign of redundancy in coding: on average, longer response
sequences carried at least as much information about the stimulus as
would be obtained by adding together the information carried by shorter
response sequences considered independently. There also was no direct
evidence found for synergy between response sequences. These results
could largely, but not entirely, be explained by a simple model of the
response in which one filters the stimulus by the cell's impulse
response kernel, thresholds the result at a fairly high level, and
incorporates a postspike refractory period.
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