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类别学习增强了视觉皮层中与对象相关维度的可辨别性。

Category learning increases discriminability of relevant object dimensions in visual cortex.

机构信息

Department of Psychology, Vanderbilt University, Nashville, TN 37240, USA.

出版信息

Cereb Cortex. 2013 Apr;23(4):814-23. doi: 10.1093/cercor/bhs067. Epub 2012 Apr 5.

Abstract

Learning to categorize objects can transform how they are perceived, causing relevant perceptual dimensions predictive of object category to become enhanced. For example, an expert mycologist might become attuned to species-specific patterns of spacing between mushroom gills but learn to ignore cap textures attributable to varying environmental conditions. These selective changes in perception can persist beyond the act of categorizing objects and influence our ability to discriminate between them. Using functional magnetic resonance imaging adaptation, we demonstrate that such category-specific perceptual enhancements are associated with changes in the neural discriminability of object representations in visual cortex. Regions within the anterior fusiform gyrus became more sensitive to small variations in shape that were relevant during prior category learning. In addition, extrastriate occipital areas showed heightened sensitivity to small variations in shape that spanned the category boundary. Visual representations in cortex, just like our perception, are sensitive to an object's history of categorization.

摘要

学习对物体进行分类可以改变它们的感知方式,使得与物体类别相关的感知维度变得更加突出。例如,一位专业的真菌学家可能会对蘑菇菌褶之间特定的间距模式变得敏感,但会忽略由于环境条件变化而导致的菌盖纹理。这种感知的选择性变化可以持续到对物体进行分类之外,并影响我们区分它们的能力。使用功能磁共振成像适应技术,我们证明了这种特定于类别的感知增强与视觉皮层中物体表示的神经可辨别性的变化有关。在前梭状回的区域中,对先前类别学习中相关的形状的微小变化变得更加敏感。此外,枕叶外侧区域对跨越类别边界的形状的微小变化表现出更高的敏感性。皮层中的视觉表示与我们的感知一样,对物体的分类历史敏感。

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