A simple Hebbian/anti-Hebbian network learns the sparse, independent components of natural images

被引：31

作者：

Falconbridge, Michael S. ^{[1
]}

Stamps, Robert L.

Badcock, David R.

机构：

[1] Univ Western Australia, Sch Psychol, Nedlands, WA 6009, Australia

[2] Univ Western Australia, Sch Phys, Nedlands, WA 6009, Australia

来源：

NEURAL COMPUTATION | 2006年 / 18卷 / 02期

关键词：

D O I：

10.1162/089976606775093891

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Slightly modified versions of an early Hebbian/anti-Hebbian neural network are shown to be capable of extracting the sparse, independent linear components of a prefiltered natural image set. An explanation for this capability in terms of a coupling between two hypothetical networks is presented. The simple networks presented here provide alternative, biologically plausible mechanisms for sparse, factorial coding in early primate vision.

引用

页码：415 / 429

页数：15

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