Visual processing of informative multipoint correlations arises primarily in V2.

Visual processing of informative multipoint correlations arises primarily in V2.
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信息多点相关性的视觉处理主要出现在V2中。

DOI:
10.7554/elife.06604
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发表时间:
2015-04-27
期刊:
影响因子:
7.7
通讯作者:
Victor JD
Victor JD
中科院分区:
生物学1区
文献类型:
--
作者:
Yu Y;Schmid AM;Victor JD

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使用视觉系统作为模型,我们最近发现,高效编码原则解释了中央感觉处理中计算资源的分配:当采样图像是主要限制时,资源用于计算变量最多的统计特征,因此也是最具信息量的(eLife 2014;3:e03722)。DOI:10.7554/eLife.03722)。在这些结果的基础上,我们使用猕猴的单单位记录来确定这些计算--对特定的多点关联敏感--发生在哪里。我们发现,这些计算发生在视区V2,主要是在其颗粒上的层。V2神经元对自然图像中提供信息的多点关联很敏感,这一证明为V2中神经处理的各种但公认的方面提供了共同的计算基础,包括它对角落、连接、虚幻轮廓、图形/背景和自然的敏感性。DOI:http://dx.doi.org/10.7554/eLife.06604.001
Using the visual system as a model, we recently showed that the efficient coding principle accounted for the allocation of computational resources in central sensory processing: when sampling an image is the main limitation, resources are devoted to compute the statistical features that are the most variable, and therefore the most informative (eLife 2014;3:e03722. DOI: 10.7554/eLife.03722). Building on these results, we use single-unit recordings in the macaque monkey to determine where these computations—sensitivity to specific multipoint correlations—occur. We find that these computations take place in visual area V2, primarily in its supragranular layers. The demonstration that V2 neurons are sensitive to the multipoint correlations that are informative about natural images provides a common computational underpinning for diverse but well-recognized aspects of neural processing in V2, including its sensitivity to corners, junctions, illusory contours, figure/ground, and ‘naturalness.’ DOI: http://dx.doi.org/10.7554/eLife.06604.001