Yao, L., Fu, Q. and Liu, C. H., 2023. The roles of edge-based and surface-based information in the dynamic neural representation of objects. NeuroImage, 283, 120425.
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DOI: 10.1016/j.neuroimage.2023.120425
Abstract
We combined multivariate pattern analysis (MVPA) and electroencephalogram (EEG) to investigate the role of edge, color, and other surface information in the neural representation of visual objects. Participants completed a one-back task in which they were presented with color photographs, grayscale images, and line drawings of animals, tools, and fruits. Our results provide the first neural evidence that line drawings elicit similar neural activities as color photographs and grayscale images during the 175-305 ms window after the stimulus onset. Furthermore, we found that other surface information, rather than color information, facilitates decoding accuracy in the early stages of object representations and affects the speed of this. These results provide new insights into the role of edge-based and surface-based information in the dynamic process of neural representations of visual objects.
Item Type: | Article |
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ISSN: | 1053-8119 |
Uncontrolled Keywords: | EEG; MVPA; edge-based information; neural representation of objects; surface-based information |
Group: | Faculty of Science & Technology |
ID Code: | 39108 |
Deposited By: | Symplectic RT2 |
Deposited On: | 09 Nov 2023 09:15 |
Last Modified: | 09 Nov 2023 09:15 |
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