Ziemba Corey M, Freeman Jeremy, Movshon J Anthony, Simoncelli Eero P
Center for Neural Science, New York University, New York, NY 10003;
Center for Neural Science, New York University, New York, NY 10003; Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA 20147;
Proc Natl Acad Sci U S A. 2016 May 31;113(22):E3140-9. doi: 10.1073/pnas.1510847113. Epub 2016 May 12.
As information propagates along the ventral visual hierarchy, neuronal responses become both more specific for particular image features and more tolerant of image transformations that preserve those features. Here, we present evidence that neurons in area V2 are selective for local statistics that occur in natural visual textures, and tolerant of manipulations that preserve these statistics. Texture stimuli were generated by sampling from a statistical model, with parameters chosen to match the parameters of a set of visually distinct natural texture images. Stimuli generated with the same statistics are perceptually similar to each other despite differences, arising from the sampling process, in the precise spatial location of features. We assessed the accuracy with which these textures could be classified based on the responses of V1 and V2 neurons recorded individually in anesthetized macaque monkeys. We also assessed the accuracy with which particular samples could be identified, relative to other statistically matched samples. For populations of up to 100 cells, V1 neurons supported better performance in the sample identification task, whereas V2 neurons exhibited better performance in texture classification. Relative to V1, the responses of V2 show greater selectivity and tolerance for the representation of texture statistics.
随着信息沿腹侧视觉层级传播,神经元反应对特定图像特征变得更加特异,同时对保留这些特征的图像变换更具耐受性。在此,我们提供证据表明,V2区的神经元对自然视觉纹理中出现的局部统计特征具有选择性,并且对保留这些统计特征的操作具有耐受性。纹理刺激通过从统计模型中采样生成,所选参数与一组视觉上不同的自然纹理图像的参数相匹配。尽管由于采样过程导致特征的精确空间位置存在差异,但具有相同统计特征生成的刺激在感知上彼此相似。我们根据在麻醉的猕猴中单独记录的V1和V2神经元的反应,评估了这些纹理能够被分类的准确性。我们还评估了相对于其他统计匹配样本,特定样本能够被识别的准确性。对于多达100个细胞的群体,V1神经元在样本识别任务中表现更好,而V2神经元在纹理分类中表现更好。相对于V1,V2的反应对纹理统计特征的表征表现出更大的选择性和耐受性。