基于群体编码的信息处理。

Information processing with population codes.

作者信息

Pouget A, Dayan P, Zemel R

机构信息

Department of Brain and Cognitive Sciences, Meliora Hall, University of Rochester, Rochester, New York 14627, USA.

出版信息

Nat Rev Neurosci. 2000 Nov;1(2):125-32. doi: 10.1038/35039062.

DOI:10.1038/35039062

PMID:11252775

Abstract

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.

摘要

信息在大脑中是由细胞群体或细胞簇进行编码的，而非单个细胞。这种编码策略被称为群体编码。在此，我们回顾群体编码在信息编码和解码方面的标准应用，并探讨群体编码如何用于支持诸如噪声消除和非线性映射等神经计算。我们还将讨论一些更具开创性的观点，即群体编码如何直接表征有关刺激不确定性的信息。