A simple Hebbian/anti-Hebbian network learns the sparse, independent components of natural images
A simple Hebbian/anti-Hebbian network learns the sparse, independent components of natural images
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DOI：
10.1162/089976606775093891
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发表时间：
2006-02-01
影响因子：
2.9
通讯作者：
Badcock, David R.
中科院分区：
文献类型：
--
作者：
Falconbridge, Michael S.;Stamps, Robert L.;Badcock, David R.
早期Hebbian/反Hebbian神经网络的略微修改版本被证明能够提取预滤波自然图像集的稀疏的、独立的线性分量。根据两个假设网络之间的耦合，给出了这种能力的解释。这里展示的简单网络为早期灵长类视觉的稀疏阶乘编码提供了替代的、生物学上看似合理的机制。
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.