Category representation in primary visual cortex after visual perceptual learning

被引:0
|
作者
Zhaofan Liu
Yin Yan
Da-Hui Wang
机构
[1] Beijing Normal University,School of Systems Science
[2] Beijing Normal University,State Key Laboratory of Cognitive Neuroscience and Learning
[3] Chinese Institute for Brain Research,Beijing Key Laboratory of Brain Imaging and Connectomics
[4] Beijing Normal University,undefined
来源
Cognitive Neurodynamics | 2024年 / 18卷
关键词
Visual perceptual learning; Categorical representation; Visual cortex; Single trial analysis; Population dynamics;
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学科分类号
摘要
The visual perceptual learning (VPL) leads to long-term enhancement of visual task performance. The subjects are often trained to link different visual stimuli to several options, such as the widely used two-alternative forced choice (2AFC) task, which involves an implicit categorical decision. The enhancement of performance has been related to the specific changes of neural activities, but few studies investigate the effects of categorical responding on the changes of neural activities. Here we investigated whether the neural activities would exhibit the categorical characteristics if the subjects are requested to respond visual stimuli in a categorical manner during VPL. We analyzed the neural activities of two monkeys in a contour detection VPL. We found that the neural activities in primary visual cortex (V1) converge to one pattern if the contour can be detected by monkey and another pattern if the contour cannot be detected, exhibiting a kind of category learning that the neural representations of detectable contour become less selective for number of bars forming contour and diverge from the representations of undetectable contour.
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页码:23 / 35
页数:12
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