Mid-level Feature Differences Support Early Animacy and Object Size Distinctions: Evidence from Electroencephalography Decoding

Mid-level Feature Differences Support Early Animacy and Object Size Distinctions: Evidence from Electroencephalography Decoding
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中级特征差异支持早期的动画和物体大小的区别:来自脑电图解码的证据

DOI:
10.1162/jocn_a_01883
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发表时间:
2022
影响因子:
3.2
通讯作者:
Konkle, Talia
Konkle, Talia
中科院分区:
医学3区
文献类型:
--
作者:
Wang, Ruosi;Janini, Daniel;Konkle, Talia

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沿着人类大脑皮层表面对视觉呈现的物体的反应有一个大规模的组织,反映了动物活力和物体大小的广泛分类。新出现的证据表明,这种地形组织是由物体之间在中级知觉特征上的差异所支持的。关于神经反应的时间,物体的图像会迅速唤起神经反应,其中包含关于动画和物体大小的可解码信息,但是中级特征足以唤起这些快速的神经反应吗?还是需要更慢的迭代神经处理来从中级特征中解开关于动画和物体大小的信息,需要数百毫秒的处理时间?为了回答这个问题,我们使用脑电图来测量人类对物体图像及其纹理对应物的神经反应,这些图像是保留了一些关于纹理和粗糙形状的中级特征信息的不可识别的图像。我们发现,变形图像与原始图像一样,能唤起具有早期可解码信息的神经反应,包括动画和真实世界的大小。此外,成功的交叉解码表明,文本和原始图像通过共同的底层神经基础唤起了关于动画和大小的信息。总的来说,这些结果表明视觉系统包含一个中级特征库,其中包含关于动画和大小的线性可解码信息,可以快速激活,而无需明确识别或长时间处理。
Responses to visually presented objects along the cortical surface of the human brain have a large-scale organization reflecting the broad categorical divisions of animacy and object size. Emerging evidence indicates that this topographical organization is supported by differences between objects in mid-level perceptual features. With regard to the timing of neural responses, images of objects quickly evoke neural responses with decodable information about animacy and object size, but are mid-level features sufficient to evoke these rapid neural responses? Or is slower iterative neural processing required to untangle information about animacy and object size from mid-level features, requiring hundreds of milliseconds more processing time? To answer this question, we used EEG to measure human neural responses to images of objects and their texform counterparts—unrecognizable images that preserve some mid-level feature information about texture and coarse form. We found that texform images evoked neural responses with early decodable information about both animacy and real-world size, as early as responses evoked by original images. Furthermore, successful cross-decoding indicates that both texform and original images evoke information about animacy and size through a common underlying neural basis. Broadly, these results indicate that the visual system contains a mid-level feature bank carrying linearly decodable information on animacy and size, which can be rapidly activated without requiring explicit recognition or protracted temporal processing.
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发表时间: 2018-06-01
期刊: NEUROIMAGE
影响因子: 5.7
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影响因子: 3.2
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期刊: bioRxiv
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影响因子: --
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