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
收藏
页码：415 / 429
页数：15
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