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Huang J, Yang Y, Zhou K, Zhao X, Zhou Q, Zhu H, Yang Y, Zhang C, Zhou Y, Zhou W. Rapid Processing of a Global Feature in the ON Visual Pathways of Behaving Monkeys. Front Neurosci 2017; 11:474. [PMID: 28890683 PMCID: PMC5575892 DOI: 10.3389/fnins.2017.00474] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 08/10/2017] [Indexed: 11/13/2022] Open
Abstract
Visual objects are recognized by their features. Whereas, some features are based on simple components (i.e., local features, such as orientation of line segments), some features are based on the whole object (i.e., global features, such as an object having a hole in it). Over the past five decades, behavioral, physiological, anatomical, and computational studies have established a general model of vision, which starts from extracting local features in the lower visual pathways followed by a feature integration process that extracts global features in the higher visual pathways. This local-to-global model is successful in providing a unified account for a vast sets of perception experiments, but it fails to account for a set of experiments showing human visual systems' superior sensitivity to global features. Understanding the neural mechanisms underlying the "global-first" process will offer critical insights into new models of vision. The goal of the present study was to establish a non-human primate model of rapid processing of global features for elucidating the neural mechanisms underlying differential processing of global and local features. Monkeys were trained to make a saccade to a target in the black background, which was different from the distractors (white circle) in color (e.g., red circle target), local features (e.g., white square target), a global feature (e.g., white ring with a hole target) or their combinations (e.g., red square target). Contrary to the predictions of the prevailing local-to-global model, we found that (1) detecting a distinction or a change in the global feature was faster than detecting a distinction or a change in color or local features; (2) detecting a distinction in color was facilitated by a distinction in the global feature, but not in the local features; and (3) detecting the hole was interfered by the local features of the hole (e.g., white ring with a squared hole). These results suggest that monkey ON visual systems have a subsystem that is more sensitive to distinctions in the global feature than local features. They also provide the behavioral constraints for identifying the underlying neural substrates.
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Affiliation(s)
- Jun Huang
- CAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of ChinaHefei, China.,Department of Otolaryngology and Communicative Sciences, University of Mississippi Medical CenterJackson, MS, United States
| | - Yan Yang
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of SciencesBeijing, China
| | - Ke Zhou
- College of Psychology and Sociology, Shenzhen UniversityShenzhen, China.,Center for Language and Brain, Shenzhen Institute of NeuroscienceShenzhen, China.,Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen UniversityShenzhen, China
| | - Xudong Zhao
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of SciencesBeijing, China
| | - Quan Zhou
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of SciencesBeijing, China
| | - Hong Zhu
- Department of Otolaryngology and Communicative Sciences, University of Mississippi Medical CenterJackson, MS, United States.,Department of Neurobiology and Anatomical Sciences, University of Mississippi Medical CenterJackson, MS, United States.,Department of Neurology, University of Mississippi Medical CenterJackson, MS, United States
| | - Yingshan Yang
- Primate Research Center of Jin Gang InternationalHaikou, China
| | - Chunming Zhang
- Department of Otolaryngology, First Affiliated Hospital, Shanxi Medical UniversityTaiyuan, China
| | - Yifeng Zhou
- CAS Key Laboratory of Brain Function and Disease, and School of Life Sciences, University of Science and Technology of ChinaHefei, China.,State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of SciencesBeijing, China
| | - Wu Zhou
- Department of Otolaryngology and Communicative Sciences, University of Mississippi Medical CenterJackson, MS, United States.,Department of Neurobiology and Anatomical Sciences, University of Mississippi Medical CenterJackson, MS, United States.,Department of Neurology, University of Mississippi Medical CenterJackson, MS, United States
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Chen Y, Zhang W, Shen Z. Shape predominant effect in pattern recognition of geometric figures of rhesus monkey. Vision Res 2002; 42:865-71. [PMID: 11927351 DOI: 10.1016/s0042-6989(01)00317-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Three monkeys were trained successively with discrimination, concurrent matching to sample, and sameness-difference judgment tasks in which learning curves were compared. Then, the display duration for the stimuli was shortened to 100, 50, and 30 ms respectively to test the changes in accuracy and reaction time. All results in three experimental paradigms suggested consistently that the geometric shape (triangle, circle, and square) plays a more predominant role than topological features (the hole inside of a figure and the hole numbers) in monkey figure recognition. The results are different from the experiment by human subjects who presented hole predominant in figure recognition. Therefore, the precedence in perception depends on subject species, stimulus set, and ecological significance of the perceiving process.
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Affiliation(s)
- Yucui Chen
- Department of Psychology and National Laboratory on Machine Percept., Peking University, Beijing 100871, China
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