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Figure—Ground Segregation in a Recurrent Network Architecture
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Here we propose a model of how the visual brain segregates textured scenes into figures and background. During texture segregation, locations where the properties of texture elements change abruptly are assigned to boundaries, whereas image regions that are relatively homogeneous are grouped together. Boundary detection and grouping of image regions require different connection schemes, which are accommodated in a single network architecture by implementing them in different layers. As a result, all units carry signals related to boundary detection as well as grouping of image regions, in accordance with cortical physiology. Boundaries yield an early enhancement of network responses, but at a later point, an entire figural region is grouped together, because units that respond to it are labeled with enhanced activity. The model predicts which image regions are preferentially perceived as figure or as background and reproduces the spatio-temporal profile of neuronal activity in the visual cortex during texture segregation in intact animals, as well as in animals with cortical lesions.
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“Animal and human studies of vision support this hypothesis (16–19).”
From The Predictive Coding Account of Psychosis (2018) · cites this paper as [18]
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“In addition, back projections may be important for visual awareness and beyond tasks such as visual categorization for perceptual organization and figure-ground segmentation (48-50) or curve tracing (51).”
From A feedforward architecture accounts for rapid categorization (2007) · cites this paper as [48]
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Cites
A feature-integration theory of attention.
Treisman, A. M., & Gelade, G. (1980) · Cognitive Psychology · doi:10.1016/0010-0285(80)90005-5 · Cited by 12,366
The Laplacian pyramid as a compact image code
Burt, P., & Adelson, E. (1983) · IEEE Transactions on Communications · doi:10.1109/tcom.1983.1095851 · Cited by 6,077
Rao, R. P. N., & Ballard, D. H. (1999) · Nature Neuroscience · doi:10.1038/4580 · Cited by 5,483 · cited 1×
“In contrast, Rao and Ballard (1999) suggested the opposite connection scheme in a related model.”
Principles Of Gestalt Psychology
Koffka, K. (2013) · Routledge eBooks · doi:10.4324/9781315009292 · Cited by 4,306
Segregation of Form, Color, Movement, and Depth: Anatomy, Physiology, and Perception
Livingstone, M. S., & Hubel, D. H. (1988) · Science · doi:10.1126/science.3283936 · Cited by 3,358
The distinct modes of vision offered by feedforward and recurrent processing
Lamme, V. A. F., & Roelfsema, P. R. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01657-x · Cited by 2,338 · cited 1×
“This indicates that feedforward connections provide the visual drive for their postsynaptic targets, whereas feedback connections have a more subtle, modulator effect (Lamme & Roelfsema, 2000; Crick & Koch, 1998; Hupe´ et al., 1998).”
Self-citationTextons, the elements of texture perception, and their interactions
Julesz, B. (1981) · Nature · doi:10.1038/290091a0 · Cited by 1,703 · cited 1×
“However, not all feature contrasts permit pop out, and the effortless segregation of image regions (Julesz, 1981; Treisman & Gelade, 1980).”
Perceptual selectivity for color and form
Theeuwes, J. (1992) · Perception & Psychophysics · doi:10.3758/bf03211656 · Cited by 1,649
Feature-based attention influences motion processing gain in macaque visual cortex
Treue, S., & Trujillo, J. C. M. (1999) · Nature · doi:10.1038/21176 · Cited by 1,465
Effects of Attention on Orientation-Tuning Functions of Single Neurons in Macaque Cortical Area V4
McAdams, C. J., & Maunsell, J. H. R. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-01-00431.1999 · Cited by 1,218
Research works printed but not linked: 2
- Li Z., 1999, Proceedings of the National Academy of Sciences, U.S.A., 96, 10539
- 10.1037/0096-1523.24.2.441 · DOI
Cited by
Sorted by citations
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A feedforward architecture accounts for rapid categorization
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van Kerkoerle, T., Self, M. W., Dagnino, B., Gariel-Mathis, M.-A., Poort, J., van der Togt, C., & Roelfsema, P. R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402773111 · Cited by 918
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Lamme, V. A. F. (2010) · Cognitive Neuroscience · doi:10.1080/17588921003731586 · Cited by 487
Self-citationSelective Activation of the Deep Layers of the Human Primary Visual Cortex by Top-Down Feedback
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Craft, E., Schütze, H., Niebur, E., & von der Heydt, R. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00203.2007 · Cited by 260
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Self-citationKlink, P. C., Dagnino, B., Gariel-Mathis, M.-A., & Roelfsema, P. R. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.033 · Cited by 135
Self-citationCue-Invariant Networks for Figure and Background Processing in Human Visual Cortex
Appelbaum, L. G., Wade, A. R., Vildavski, V. Y., Pettet, M. W., & Norcia, A. M. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2741-06.2006 · Cited by 127
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Self-citationRoelfsema, P. R., Tolboom, M., & Khayat, P. S. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.006 · Cited by 109
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A neural substrate for atypical low-level visual processing in autism spectrum disorder
Vandenbroucke, M. W. G., Scholte, H. S., van Engeland, H., Lamme, V. A. F., & Kemner, C. (2008) · Brain · doi:10.1093/brain/awm321 · Cited by 107
Self-citationBio-inspired computer vision: Towards a synergistic approach of artificial and biological vision
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Self-citationWagemans, J. P. (2018) · Wiley eBooks · doi:10.1002/9781119170174.epcn218 · Cited by 93
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Self-citationPoort, J., Self, M. W., van Vugt, B., Malkki, H. A. I., & Roelfsema, P. R. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw235 · Cited by 89
Self-citationHeinen, K., Jolij, J., & Lamme, V. A. F. (2005) · Neuroreport · doi:10.1097/01.wnr.0000175611.26485.c8 · Cited by 82
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Hamker, F. H. (2005) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2004.09.005 · Cited by 79
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Self-citationStroganova, T. A., Orekhova, E. V., Prokofyev, A. O., Tsetlin, M. M., Gratchev, V. V., Morozov, A. A., & Obukhov, Y. V. (2012) · Cortex · doi:10.1016/j.cortex.2011.02.016 · Cited by 71
Texture segregation by visual cortex: Perceptual grouping, attention, and learning
Bhatt, R., Carpenter, G. A., & Grossberg, S. (2007) · Vision Research · doi:10.1016/j.visres.2007.07.013 · Cited by 67
Schneider, D. M., & Woolley, S. M. N. (2010) · Journal of Neurophysiology · doi:10.1152/jn.01131.2009 · Cited by 66
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Receptive field focus of visual area V4 neurons determines responses to illusory surfaces
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Figure-ground interaction in the human visual cortex
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van Loon, A. M., Fahrenfort, J. J., van der Velde, B., Lirk, P. B., Vulink, N. C. C., Hollmann, M. W., Scholte, H. S., & Lamme, V. A. F. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv018 · Cited by 60
Self-citationShape Saliency Modulates Contextual Processing in the Human Lateral Occipital Complex
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Self-citationBouecke, J. D., Tlapale, É., Kornprobst, P., & Heiko Neumann, B. (2010) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2011/781561 · Cited by 24
van den Boomen, C., van der Smagt, M. J., & Kemner, C. (2012) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2012.00016 · Cited by 26
Deficient Motion-Defined and Texture-Defined Figure–Ground Segregation in Amblyopic Children
Wang, J., Ho, C. S., & Giaschi, D. E. (2007) · Journal of Pediatric Ophthalmology & Strabismus · doi:10.3928/01913913-20071101-04 · Cited by 24
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Parallel development of ERP and behavioural measurements of visual segmentation
van den Boomen, C., Lamme, V. A. F., & Kemner, C. (2013) · Developmental Science · doi:10.1111/desc.12093 · Cited by 23
Self-citationA computational feature binding model of human texture perception
Ontrup, J., Wersing, H., & Ritter, H. J. (2004) · Cognitive Processing · doi:10.1007/s10339-003-0003-x · Cited by 21
Early Stages of Figure–Ground Segregation during Perception of the Face–Vase
Pitts, M. A., Martı́nez, A., Brewer, J. B., & Hillyard, S. A. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21438 · Cited by 21
Schizophrenia: Putting context in context
Park, S., Lee, J., Folley, B. S., & Kim, J. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03380021 · Cited by 21
Metadata
- Authors
- Roelfsema, P. R., Lamme, V. A. F., Spekreijse, H., & Bosch, H.
- Affiliations
- University of Amsterdam (NL)
- University of Geneva (CH)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 2002-05
- Volume
- 14
- Issue
- 4
- Pages
- 525-537
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2109887449
- Cited by
- 254
- References
- 64
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 7 · 2023: 6 · 2022: 13 · 2021: 6 · 2020: 4 · 2019: 4 · 2018: 12 · 2017: 6 · 2016: 12 · 2015: 15 · 2014: 14 · 2013: 10 · 2012: 14
- FWCI
- 8.35
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Koninklijke Nederlandse Akademie van Wetenschappen
- Universiteit van Amsterdam
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- figure-ground segregation, texture segregation, recurrent neural networks, boundary detection, regional clustering, visual cortex, cortical lesions, neuronal activity dynamics, visual perception
- MeSH terms
- Feedback, Humans, Models, Neurological, Nerve Net, Visual Cortex, Visual Pathways, Visual Perception
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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