Computation with a number of neurons

被引：0

作者：

Wu, S ^{[1
]}

Chen, DM ^{[1
]}

机构：

[1] Univ Sheffield, Dept Comp Sci, Sheffield S1 4DP, S Yorkshire, England

来源：

UNCERTAINTY IN GEOMETRIC COMPUTATIONS | 2002年 / 704卷

关键词：

population coding; Bayesian inference; recurrent network; line attractor; Hebbian learning;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An essential feature of neural information processing in the brain is that a stimulus is not represented by the activity of a single neuron but rather by the joint activities of a number of them. Such a coding strategy is called population coding. This paper reviews the recent progress on the understanding of computational properties of population codes, with emphasis on how to implement a hierarchical Bayesian decoding procedure in a neural circuit.

引用

页码：199 / 207

页数：9

共 13 条

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