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Unbiased measures of transmitted information and channel capacity from multivariate neuronal data

✍ Scribed by L. M. Optican; T. J. Gawne; B. J. Richmond; P. J. Joseph


Publisher
Springer-Verlag
Year
1991
Tongue
English
Weight
635 KB
Volume
65
Category
Article
ISSN
0340-1200

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✦ Synopsis


Two measures from information theory, transmitted information and channel capacity, can quantify the ability of neurons to convey stimulus-dependent information. These measures are calculated using probability functions estimated from stimulus-response data. However, these estimates are biased by response quantization, noise, and small sample sizes. Improved estimators are developed in this paper that depend on both an estimate of the sample-size bias and the noise in the data.