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Tang H, Song R, Hu Y, Tian Y, Lu Z, Chen L, Huang Y. Late Development of Early Visual Perception: No Topology-Priority in Peripheral Vision Until Age 10. Child Dev 2021; 92:1906-1918. [PMID: 34569057 PMCID: PMC8518037 DOI: 10.1111/cdev.13629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Topological property (TP) is a basic geometric attribute of objects, which is preserved over continuous and one-to-one transformations and considered to be processed in early vision. This study investigated the global TP perception of 773 children aged 6-14, as compared to 179 adults. The results revealed that adults and children aged 10 or over show a TP priority trend in both central and peripheral vision, that is, less time is required to discriminate TP differences than non-TP differences. Children aged 6-8 show a TP priority trend for central stimuli, but not in their peripheral vision. The TP priority effect in peripheral vision does not emerge until age ˜10 years, and the development of central and peripheral vision seems to be different.
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Affiliation(s)
- Hongsi Tang
- Guangdong Provincial Key Laboratory of Brain Connectome and BehaviorCAS Key Laboratory of Brain Connectome and ManipulationThe Brain Cognition and Brain Disease Institute (BCBDI)Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenChina
- Shenzhen‐Hong Kong Institute of Brain Science‐Shenzhen Fundamental Research InstitutionsShenzhenChina
- University of Chinese Academy of SciencesBeijingChina
| | - Rujiao Song
- The Experimental School of Shenzhen Institutes of Advanced TechnologyShenzhenChina
| | - Yueyan Hu
- Guangdong Provincial Key Laboratory of Brain Connectome and BehaviorCAS Key Laboratory of Brain Connectome and ManipulationThe Brain Cognition and Brain Disease Institute (BCBDI)Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenChina
- Shenzhen‐Hong Kong Institute of Brain Science‐Shenzhen Fundamental Research InstitutionsShenzhenChina
- University of Chinese Academy of SciencesBeijingChina
| | - Yixin Tian
- The Experimental School of Shenzhen Institutes of Advanced TechnologyShenzhenChina
| | - Zhonghua Lu
- Guangdong Provincial Key Laboratory of Brain Connectome and BehaviorCAS Key Laboratory of Brain Connectome and ManipulationThe Brain Cognition and Brain Disease Institute (BCBDI)Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenChina
- Shenzhen‐Hong Kong Institute of Brain Science‐Shenzhen Fundamental Research InstitutionsShenzhenChina
- University of Chinese Academy of SciencesBeijingChina
| | - Lin Chen
- University of Chinese Academy of SciencesBeijingChina
- State Key Laboratory of Brain and Cognitive ScienceInstitute of Biophysics,Chinese Academy of SciencesBeijingChina
| | - Yan Huang
- Guangdong Provincial Key Laboratory of Brain Connectome and BehaviorCAS Key Laboratory of Brain Connectome and ManipulationThe Brain Cognition and Brain Disease Institute (BCBDI)Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenChina
- Shenzhen‐Hong Kong Institute of Brain Science‐Shenzhen Fundamental Research InstitutionsShenzhenChina
- University of Chinese Academy of SciencesBeijingChina
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Zhang J, Yang X, Jin Z, Li L. Where there is no object formation, there is no perceptual organization: Evidence from the configural superiority effect. Neuroimage 2021; 237:118108. [PMID: 33940152 DOI: 10.1016/j.neuroimage.2021.118108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 04/11/2021] [Accepted: 04/15/2021] [Indexed: 11/15/2022] Open
Abstract
Object formation is considered the aim of perceptual organization, but such a proposition has been neglected in empirical studies. In the current study, we investigated the role of object formation in configural superiority. Essentially, discrimination on bar orientations was enhanced by adding a right angle to each of the bars. Such facilitation is due to the emergent feature (EF) of closure formed by combining the bars with right angles. To study object formation, visual stimuli were generated by random dot stereograms to form objects or holes in 3D. Behaviorally, we found that the EF of closure facilitated oddball discrimination on objects, as demonstrated by previous studies, but did not facilitate oddball discrimination on holes with the same shape as objects. Multivariate pattern analysis of functional magnetic resonance imaging (fMRI) data showed that the EF of closure increased the object classification accuracy compared to the holes in the lateral occipital cortex (LOC), where object information is encoded, but not in the early visual cortex (EVC). The neural representations of objects and holes with and without EFs were further investigated using representational similarity analysis. The results demonstrate that in the LOC, the neural representations of objects with EFs showed a greater difference than those of the other three, that is, objects without EFs and holes with or without EFs. However, the uniqueness of objects with EFs was not observed in the EVC. Thus, our results suggest that the EF of closure, which leads to the configural superiority effect, only emerges for objects but not for holes, and only in the LOC but not the EVC. Our study provides the first empirical evidence suggesting that object formation plays an indispensable role in perceptual organization.
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Affiliation(s)
- Junjun Zhang
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, China.
| | - Xiaoyan Yang
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, China
| | - Zhenlan Jin
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, China
| | - Ling Li
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, China.
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Wang C, Lian R, Dong X, Mi Y, Wu S. A Neural Network Model With Gap Junction for Topological Detection. Front Comput Neurosci 2020; 14:571982. [PMID: 33178003 PMCID: PMC7591819 DOI: 10.3389/fncom.2020.571982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 10/02/2020] [Indexed: 11/26/2022] Open
Abstract
Visual information processing in the brain goes from global to local. A large volume of experimental studies has suggested that among global features, the brain perceives the topological information of an image first. Here, we propose a neural network model to elucidate the underlying computational mechanism. The model consists of two parts. The first part is a neural network in which neurons are coupled through gap junctions, mimicking the neural circuit formed by alpha ganglion cells in the retina. Gap junction plays a key role in the model, which, on one hand, facilitates the synchronized firing of a neuron group covering a connected region of an image, and on the other hand, staggers the firing moments of different neuron groups covering disconnected regions of the image. These two properties endow the network with the capacity of detecting the connectivity and closure of images. The second part of the model is a read-out neuron, which reads out the topological information that has been converted into the number of synchronized firings in the retina network. Our model provides a simple yet effective mechanism for the neural system to detect the topological information of images in ultra-speed.
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Affiliation(s)
- Chaoming Wang
- Peking-Tsinghua Center for Life Sciences, School of Electronics Engineering and Computer Science, IDG/McGovern Institute for Brain Research, Peking University, Academy for Advanced Interdisceplinary Studies, Beijing, China.,Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China.,Chinese Institute for Brain Research, Beijing, China
| | - Risheng Lian
- Peking-Tsinghua Center for Life Sciences, School of Electronics Engineering and Computer Science, IDG/McGovern Institute for Brain Research, Peking University, Academy for Advanced Interdisceplinary Studies, Beijing, China
| | - Xingsi Dong
- Peking-Tsinghua Center for Life Sciences, School of Electronics Engineering and Computer Science, IDG/McGovern Institute for Brain Research, Peking University, Academy for Advanced Interdisceplinary Studies, Beijing, China
| | - Yuanyuan Mi
- Center for Neurointelligence, School of Medicine, Chongqing University, Chongqing, China
| | - Si Wu
- Peking-Tsinghua Center for Life Sciences, School of Electronics Engineering and Computer Science, IDG/McGovern Institute for Brain Research, Peking University, Academy for Advanced Interdisceplinary Studies, Beijing, China.,Hefei Comprehensive National Science Center, Institute of Artificial Intelligence, Hefei, China
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Zhang J, Wu J, Liu X, Jin Z, Li L, Chen L. Hole superiority effect with 3D figures formed by binocular disparity. J Vis 2019; 19:2. [PMID: 30721921 DOI: 10.1167/19.2.2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Junjun Zhang
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Jingting Wu
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Xieyi Liu
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhenlan Jin
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Ling Li
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - Lin Chen
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, Chengdu, China
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Shared neural substrates of apraxia and aphasia. Neuropsychologia 2015; 75:40-9. [DOI: 10.1016/j.neuropsychologia.2015.05.017] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2015] [Revised: 05/14/2015] [Accepted: 05/20/2015] [Indexed: 10/23/2022]
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Chien SHL, Lin YL, Qian W, Zhou K, Lin MK, Hsu HY. With or without a Hole: Young Infants' Sensitivity for Topological versus Geometric Property. Perception 2012; 41:305-18. [DOI: 10.1068/p7031] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Evidence from adult psychophysics, brain imaging, and honeybee's behaviour has been reported to support the notion that topological properties are the primitives of visual representation (Chen, 1982 Science218 699–700). Here, we ask how the sensitivity to topological property might originate during development. Specifically, we tested 1.5- to 6-month-old infants' visual sensitivity for topological versus geometric properties with the forced-choice novelty preference technique. A disk and a ring were used in the topologically different condition (experiment 1), while a disk and a triangle were used in the geometrically different condition (experiment 2). Spontaneous preferences for the disk, the ring, and the triangle were measured pairwise using the preferential looking-time technique (experiment 3). The results showed that infants could reliably discriminate stimuli based on topological differences, but failed to do so with geometric differences. Moreover, in the generalisation task, infants showed higher novelty preference for the topologically different figure (the ring). In addition, the results of both experiments cannot be attributed to a spontaneous preference for the ring or for the disk. Further analysis on individual infants' age and performance revealed two distinct developmental trends. Infants seem to be sensitive to topological differences as young as 1.5 months, while their ability to discriminate geometric differences was at chance before 3 months and gradually improved with age. Taken together, our findings suggested an early sensitivity for topological property, at least for the detection of stimuli with or without a hole.
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Affiliation(s)
| | - Yun-Lan Lin
- Department of Chinese Medicine, China Medical University, No 91 Hsueh-Shih Road, Taichung, Taiwan 40402, Republic of China
| | - Wenli Qian
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, People's Republic of China
| | - Ke Zhou
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, People's Republic of China
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Öğmen H, Herzog MH. The Geometry of Visual Perception: Retinotopic and Non-retinotopic Representations in the Human Visual System. PROCEEDINGS OF THE IEEE. INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS 2010; 98:479-492. [PMID: 22334763 PMCID: PMC3277856 DOI: 10.1109/jproc.2009.2039028] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Geometry is closely linked to visual perception; yet, very little is known about the geometry of visual processing beyond early retinotopic organization. We present a variety of perceptual phenomena showing that a retinotopic representation is neither sufficient nor necessary to support form perception. We discuss the popular "object files" concept as a candidate for non-retinotopic representations and, based on its shortcomings, suggest future directions for research using local manifold representations. We suggest that these manifolds are created by the emergence of dynamic reference-frames that result from motion segmentation. We also suggest that the metric of these manifolds is based on relative motion vectors.
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Affiliation(s)
- Haluk Öğmen
- Department of Electrical & Computer Engineering and Center for NeuroEngineering & Cognitive Science, University of Houston, Houston, TX 77204-4005 USA (phone: 713-743-4428; fax: 713-743-4444
| | - Michael H. Herzog
- Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland
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Jiang Y, Ding J, Gold BT, Powell DK. Hemispheric Asymmetries in Tracking Occluded Moving Targets with the Mind’s Eye: Simultaneous Event-Related fMRI and Eye-Movement Recording. Brain Imaging Behav 2008. [DOI: 10.1007/s11682-008-9040-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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