Information processing with population codes

被引：504

作者：

Pouget, A

Dayan, P

Zemel, R

机构：

[1] Univ Rochester, Dept Brain & Cognit Sci, Rochester, NY 14627 USA

[2] Gatsby Computat Neurosci Unit, London WC1N 3AR, England

[3] Univ Toronto, Dept Comp Sci, Toronto, ON M5S 1A4, Canada

来源：

NATURE REVIEWS NEUROSCIENCE | 2000年 / 1卷 / 02期

关键词：

D O I：

10.1038/35039062

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Information is encoded in the brain by populations or clusters of cells, rather than by single cells. This encoding strategy is known as population coding. Here we review the standard use of population codes for encoding and decoding information, and consider how population codes can be used to support neural computations such as noise removal and nonlinear mapping. More radical ideas about how population codes may directly represent information about stimulus uncertainty are also discussed.

引用

页码：125 / 132

页数：8

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