Simple-cell-like receptive fields maximize temporal coherence in natural video
Simple-cell-like receptive fields maximize temporal coherence in natural video
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DOI：
10.1162/089976603321192121
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发表时间：
2003-03-01
影响因子：
2.9
通讯作者：
Hyvärinen, A
中科院分区：
文献类型：
--
作者：
Hurri, J;Hyvärinen, A
最近，自然图像的统计模型已经显示出视觉皮层的几个属性的出现。大多数模型都考虑了静态图像块的非高斯特性，导致稀疏编码或独立分量分析。在这里，我们考虑图像序列的基本时间依赖性，而不是它们的非高斯性。我们发现，简单的细胞型感受野出现时，时间响应强度相关性最大化的自然图像序列。因此，时间响应强度相关性，这是一个非线性的时间相干性的措施，提供了一种替代稀疏建模简单细胞感受野属性。我们的研究结果还表明，简单的细胞在不变的编码原则，以前曾被用来解释复杂的细胞感受野的解释。
Recently, statistical models of natural images have shown the emergence of several properties of the visual cortex. Most models have considered the nongaussian properties of static image patches, leading to sparse coding or independent component analysis. Here we consider the basic time dependencies of image sequences instead of their nongaussianity. We show that simple-cell-type receptive fields emerge when temporal response strength correlation is maximized for natural image sequences. Thus, temporal response strength correlation, which is a nonlinear measure of temporal coherence, provides an alternative to sparseness in modeling simple-cell receptive field properties. Our results also suggest an interpretation of simple cells in terms of invariant coding principles, which have previously been used to explain complex-cell receptive fields.