Cluster method for analysis of transmitted information in multivariate neuronal data
- 1 May 1993
- journal article
- research article
- Published by Springer Nature in Biological Cybernetics
- Vol. 69 (1) , 29-35
- https://doi.org/10.1007/bf00201406
Abstract
A new method for quantifying the transmitted information and channel capacity of high-dimensional data, based on cluster formation, is described. The method's ability to handle high-dimensional data allows for a complete measurement of information transmitted by neuronal data. It is computationally efficient in terms of both processing time and memory storage. Application of the method to the responses of a V1 neuron shows that more information was transmitted about the pattern of stimuli than about their color.Keywords
This publication has 10 references indexed in Scilit:
- Unbiased measures of transmitted information and channel capacity from multivariate neuronal dataBiological Cybernetics, 1991
- Neural DecodingPublished by Springer Nature ,1991
- Temporal encoding of two-dimensional patterns by single units in primate primary visual cortex. I. Stimulus-response relationsJournal of Neurophysiology, 1990
- Information transmission in non-visual fingertip matching along a horizontal track in the median planeBiological Cybernetics, 1988
- Bootstrap Methods: Another Look at the JackknifeThe Annals of Statistics, 1979
- Information measures: Statistical confidence limits and inferenceJournal of Theoretical Biology, 1978
- Rigorous and extended application of information theory to the afferent visual system of the cat. I. Basic conceptsBiological Cybernetics, 1974
- Density Estimation for Statistics and Data AnalysisPublished by Springer Nature ,1400