Neural correlations, population coding and computation

被引:1150
作者
Averbeck, BB
Latham, PE
Pouget, A [1 ]
机构
[1] Univ Rochester, Dept Brain & Cognit Sci, Rochester, NY 14627 USA
[2] Univ Rochester, Ctr Visual Sci, Rochester, NY 14627 USA
[3] UCL, Gatsby Computat Neurosci Unit, London WC1N 3AR, England
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
D O I
10.1038/nrn1888
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
How the brain encodes information in population activity, and how it combines and manipulates that activity as it carries out computations, are questions that lie at the heart of systems neuroscience. During the past decade, with the advent of multi-electrode recording and improved theoretical models, these questions have begun to yield answers. However, a complete understanding of neuronal variability, and, in particular, how it affects population codes, is missing. This is because variability in the brain is typically correlated, and although the exact effects of these correlations are not known, it is known that they can be large. Here, we review studies that address the interaction between neuronal noise and population codes, and discuss their implications for population coding in general.
引用
收藏
页码:358 / 366
页数:9
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