CLUSTER METHOD FOR ANALYSIS OF TRANSMITTED INFORMATION IN MULTIVARIATE NEURONAL DATA

被引：14

作者：

CHEEORTS, MN

OPTICAN, LM

机构：

[1] Laboratory of Sensorimotor Research, National Eye Institute, Bethesda, 20892, MD, Building 1O, Room 10C101

来源：

BIOLOGICAL CYBERNETICS | 1993年 / 69卷 / 01期

关键词：

D O I：

10.1007/BF00201406

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：29 / 35

页数：7

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