Spatial structure and symmetry of simple-cell receptive fields in macaque primary visual cortex
Spatial structure and symmetry of simple-cell receptive fields in macaque primary visual cortex
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DOI：
10.1152/jn.2002.88.1.455
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发表时间：
2002-07-01
影响因子：
2.5
通讯作者：
Ringach, DL
中科院分区：
文献类型：
--
作者：
Ringach, DL
我提出了猕猴初级视觉皮层（V1区）的简单细胞接受野的空间结构的测量。与之前在猫区17的发现类似，猕猴的简单细胞接受野的空间分布可以用二维Gabor函数很好地描述。种群分析表明，初级视觉皮层空间轮廓的分布近似于滤光器形状的单参数族。令人惊讶的是，接收野分为偶数对称和奇对称两类，这表明在方向和空间频率上调整良好的神经元倾向于具有奇对称的接收野。用独立分量分析和稀疏编码两种新近的简单细胞感受野函数理论预测的滤波器形状与数据进行了比较。这两种理论都预测了比实验数据中观察到的子场数量更多的感受野。此外，这些理论不会产生方向广泛调谐和空间频率低通的接受野，而这在猴子V1中很常见。这些结果对我们理解初级视觉皮层的图像编码和表征的意义进行了讨论。
I present measurements of the spatial structure of simple-cell receptive fields in macaque primary visual cortex (area V1). Similar to previous findings in cat area 17, the spatial profile of simple-cell receptive fields in the macaque is well described by two-dimensional Gabor functions. A population analysis reveals that the distribution of spatial profiles in primary visual cortex lies approximately on a one-parameter family of filter shapes. Surprisingly, the receptive fields cluster into even- and odd-symmetry classes with a tendency for neurons that are well tuned in orientation and spatial frequency to have odd-symmetric receptive fields. The filter shapes predicted by two recent theories of simple-cell receptive field function, independent component analysis and sparse coding, are compared with the data. Both theories predict receptive fields with a larger number of subfields than observed in the experimental data. In addition, these theories do not generate receptive fields that are broadly tuned in orientation and low-pass in spatial frequency, which are commonly seen in monkey V1. The implications of these results for our understanding of image coding and representation in primary visual cortex are discussed.