Journal article
Incremental integration of global contours through interplay between visual cortical areas
Neuron (Cambridge, Mass.), v 82(3), pp 682-694
07 May 2014
PMID: 24811385
Abstract
The traditional view on visual processing emphasizes a hierarchy: local line segments are first linked into global contours, which in turn are assembled into more complex forms. Distinct from this bottom-up viewpoint, here we provide evidence for a theoretical framework whereby objects and their parts are processed almost concurrently in a bidirectional cortico-cortical loop. By simultaneous recordings from V1 and V4 in awake monkeys, we found that information about global contours in a cluttered background emerged initially in V4, started ∼40 ms later in V1, and continued to develop in parallel in both areas. Detailed analysis of neuronal response properties implicated contour integration to emerge from both bottom-up and reentrant processes. Our results point to an incremental integration mechanism: feedforward assembling accompanied by feedback disambiguating to define and enhance the global contours and to suppress background noise. The consequence is a parallel accumulation of contour information over multiple cortical areas.
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Details
- Title
- Incremental integration of global contours through interplay between visual cortical areas
- Creators
- Minggui Chen - State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, and Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, ChinaYin Yan - State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, and Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, ChinaXiajing Gong - School of Biomedical Engineering, Drexel University, Philadelphia, PA 19104, USACharles D Gilbert - Laboratory of Neurobiology, The Rockefeller University, New York, NY 10065, USAHualou Liang - School of Biomedical Engineering, Drexel University, Philadelphia, PA 19104, USAWu Li - State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, and Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing 100875, China. Electronic address: liwu@bnu.edu.cn
- Publication Details
- Neuron (Cambridge, Mass.), v 82(3), pp 682-694
- Publisher
- Elsevier; United States
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000335503200018
- Scopus ID
- 2-s2.0-84899872955
- Other Identifier
- 991014877873004721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Neurosciences