首页> 美国卫生研究院文献>Proceedings of the Royal Society B: Biological Sciences >Independent component filters of natural images compared with simple cells in primary visual cortex.
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Independent component filters of natural images compared with simple cells in primary visual cortex.

机译:与主要视觉皮层中的简单细胞相比自然图像的独立成分过滤器。

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摘要

Properties of the receptive fields of simple cells in macaque cortex were compared with properties of independent component filters generated by independent component analysis (ICA) on a large set of natural images. Histograms of spatial frequency bandwidth, orientation tuning bandwidth, aspect ratio and length of the receptive fields match well. This indicates that simple cells are well tuned to the expected statistics of natural stimuli. There is no match, however, in calculated and measured distributions for the peak of the spatial frequency response: the filters produced by ICA do not vary their spatial scale as much as simple cells do, but are fixed to scales close to the finest ones allowed by the sampling lattice. Possible ways to resolve this discrepancy are discussed.
机译:将猕猴皮层中简单细胞的感受野性质与通过独立成分分析(ICA)在大量自然图像上生成的独立成分滤镜的性质进行了比较。空间频率带宽,方向调谐带宽,宽高比和接收场的长度的直方图匹配得很好。这表明简单的细胞已很好地调节到自然刺激的预期统计。但是,在空间频率响应的峰值的计算和测量分布中没有匹配项:ICA产生的滤波器的空间比例变化不像简单单元格那样大,而是固定在接近允许的最佳比例的尺度上。通过采样格。讨论了解决此差异的可能方法。

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