The Time Course of Perceptual Closure of Incomplete Visual Objects: An Event-Related Potential Study

Joint Authors

Lu, Lin
Hao, Bin
Wang, Xiaotian
Li, Lina
Liu, Chenyang
Zhang, Xiujun
Bian, Zhiming
Luo, Hongge
Chen, Chao
Wang, Changming
Sha, Sha

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-10-06

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Biology

Abstract EN

Perceptual organization is an important part of visual and auditory information processing.

In the case of visual occlusion, whether the loss of information in images could be recovered and thus perceptually closed affects object recognition.

In particular, many elderly subjects have defects in object recognition ability, which may be closely related to the abnormalities of perceptual functions.

This phenomenon even can be observed in the early stage of dementia.

Therefore, studying the neural mechanism of perceptual closure and its relationship with sensory and cognitive processing is important for understanding how the human brain recognizes objects, inspiring the development of neuromorphic intelligent algorithms of object recognition.

In this study, a new experiment was designed to explore the realistic process of perceptual closure under occlusion and intact conditions of faces and building.

The analysis of the differences in ERP components P1, N1, and Ncl indicated that the subjective awareness of perceptual closure mainly occurs in Ncl, but incomplete information has been processed and showed different manners compared to complete stimuli in N170 for facial materials.

Although occluded, faces, but not buildings, still maintain the specificity of perceptual processing.

The Ncl by faces and buildings did not show significant differences in both amplitude and latency, suggesting a “completing” process regardless of categorical features.

American Psychological Association (APA)

Liu, Chenyang& Sha, Sha& Zhang, Xiujun& Bian, Zhiming& Lu, Lin& Hao, Bin…[et al.]. 2020. The Time Course of Perceptual Closure of Incomplete Visual Objects: An Event-Related Potential Study. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1138860

Modern Language Association (MLA)

Liu, Chenyang…[et al.]. The Time Course of Perceptual Closure of Incomplete Visual Objects: An Event-Related Potential Study. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1138860

American Medical Association (AMA)

Liu, Chenyang& Sha, Sha& Zhang, Xiujun& Bian, Zhiming& Lu, Lin& Hao, Bin…[et al.]. The Time Course of Perceptual Closure of Incomplete Visual Objects: An Event-Related Potential Study. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1138860

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1138860