Suppr超能文献

猕猴V2区对视觉纹理的选择性和耐受性

Selectivity and tolerance for visual texture in macaque V2.

作者信息

Ziemba Corey M, Freeman Jeremy, Movshon J Anthony, Simoncelli Eero P

机构信息

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;

出版信息

Proc Natl Acad Sci U S A. 2016 May 31;113(22):E3140-9. doi: 10.1073/pnas.1510847113. Epub 2016 May 12.

Abstract

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.

摘要

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。

相似文献

1
Selectivity and tolerance for visual texture in macaque V2.
Proc Natl Acad Sci U S A. 2016 May 31;113(22):E3140-9. doi: 10.1073/pnas.1510847113. Epub 2016 May 12.
2
Gradual Development of Visual Texture-Selective Properties Between Macaque Areas V2 and V4.
Cereb Cortex. 2017 Oct 1;27(10):4867-4880. doi: 10.1093/cercor/bhw282.
3
Neuronal responses to texture-defined form in macaque visual area V2.
J Neurosci. 2011 Jun 8;31(23):8543-55. doi: 10.1523/JNEUROSCI.5974-10.2011.
4
Receptive fields and functional architecture of macaque V2.
J Neurophysiol. 1994 Jun;71(6):2517-42. doi: 10.1152/jn.1994.71.6.2517.
5
Laminar Differences in Responses to Naturalistic Texture in Macaque V1 and V2.
J Neurosci. 2019 Dec 4;39(49):9748-9756. doi: 10.1523/JNEUROSCI.1743-19.2019. Epub 2019 Oct 30.
6
Neuronal and Behavioral Responses to Naturalistic Texture Images in Macaque Monkeys.
J Neurosci. 2024 Oct 16;44(42):e0349242024. doi: 10.1523/JNEUROSCI.0349-24.2024.
7
Contextual modulation of sensitivity to naturalistic image structure in macaque V2.
J Neurophysiol. 2018 Aug 1;120(2):409-420. doi: 10.1152/jn.00900.2017. Epub 2018 Apr 11.
8
Processing of kinetically defined boundaries in areas V1 and V2 of the macaque monkey.
J Neurophysiol. 2000 Dec;84(6):2786-98. doi: 10.1152/jn.2000.84.6.2786.
9
Visual response properties of V1 neurons projecting to V2 in macaque.
J Neurosci. 2013 Oct 16;33(42):16594-605. doi: 10.1523/JNEUROSCI.2753-13.2013.
10
Specificity of V1-V2 orientation networks in the primate visual cortex.
Cortex. 2015 Nov;72:168-178. doi: 10.1016/j.cortex.2015.07.007. Epub 2015 Jul 22.

引用本文的文献

2
How distinct sources of nuisance variability in natural images and scenes limit human stereopsis.
PLoS Comput Biol. 2025 Apr 15;21(4):e1012945. doi: 10.1371/journal.pcbi.1012945. eCollection 2025 Apr.
4
Neural sensitivity to radial frequency patterns in the visual cortex of developing macaques.
bioRxiv. 2025 Jan 27:2025.01.27.634810. doi: 10.1101/2025.01.27.634810.
5
Adaptation with Naturalistic Textures in Macaque V1 and V2.
J Neurosci. 2025 Apr 2;45(14):e2257232025. doi: 10.1523/JNEUROSCI.2257-23.2025.
6
Color and Spatial Frequency Provide Functional Signatures of Retinotopic Visual Areas.
J Neurosci. 2025 Jan 8;45(2):e1673232024. doi: 10.1523/JNEUROSCI.1673-23.2024.
7
Neuronal and Behavioral Responses to Naturalistic Texture Images in Macaque Monkeys.
J Neurosci. 2024 Oct 16;44(42):e0349242024. doi: 10.1523/JNEUROSCI.0349-24.2024.
9
Developmentally stable representations of naturalistic image structure in macaque visual cortex.
Cell Rep. 2024 Aug 27;43(8):114534. doi: 10.1016/j.celrep.2024.114534. Epub 2024 Jul 26.
10
Primate V2 Receptive Fields Derived from Anatomically Identified Large-Scale V1 Inputs.
Res Sq. 2024 May 17:rs.3.rs-4139501. doi: 10.21203/rs.3.rs-4139501/v1.

本文引用的文献

1
Visual processing of informative multipoint correlations arises primarily in V2.
Elife. 2015 Apr 27;4:e06604. doi: 10.7554/eLife.06604.
2
Image statistics underlying natural texture selectivity of neurons in macaque V4.
Proc Natl Acad Sci U S A. 2015 Jan 27;112(4):E351-60. doi: 10.1073/pnas.1415146112. Epub 2014 Dec 22.
3
Deep supervised, but not unsupervised, models may explain IT cortical representation.
PLoS Comput Biol. 2014 Nov 6;10(11):e1003915. doi: 10.1371/journal.pcbi.1003915. eCollection 2014 Nov.
4
Performance-optimized hierarchical models predict neural responses in higher visual cortex.
Proc Natl Acad Sci U S A. 2014 Jun 10;111(23):8619-24. doi: 10.1073/pnas.1403112111. Epub 2014 May 8.
5
Partitioning neuronal variability.
Nat Neurosci. 2014 Jun;17(6):858-65. doi: 10.1038/nn.3711. Epub 2014 Apr 28.
6
Statistical templates for visual search.
J Vis. 2014 Mar 13;14(3):18. doi: 10.1167/14.3.18.
7
A functional and perceptual signature of the second visual area in primates.
Nat Neurosci. 2013 Jul;16(7):974-81. doi: 10.1038/nn.3402. Epub 2013 May 19.
8
Balanced increases in selectivity and tolerance produce constant sparseness along the ventral visual stream.
J Neurosci. 2012 Jul 25;32(30):10170-82. doi: 10.1523/JNEUROSCI.6125-11.2012.
9
Local image statistics: maximum-entropy constructions and perceptual salience.
J Opt Soc Am A Opt Image Sci Vis. 2012 Jul 1;29(7):1313-45. doi: 10.1364/JOSAA.29.001313.
10
Sound texture perception via statistics of the auditory periphery: evidence from sound synthesis.
Neuron. 2011 Sep 8;71(5):926-40. doi: 10.1016/j.neuron.2011.06.032.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验