The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Figure—Ground Segregation in a Recurrent Network Architecture
Open accessAbstract
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
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“In contrast, Rao and Ballard (1999) suggested the opposite connection scheme in a related model.”
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The distinct modes of vision offered by feedforward and recurrent processing
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“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
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- 10.1037/0096-1523.24.2.441 · DOI
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Wagemans, J. P., Elder, J. H., Kubovy, M., Palmer, S. E., Peterson, M. A., Singh, M., & von der Heydt, R. (2012) · Psychological Bulletin · doi:10.1037/a0029333 · Cited by 1,693
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The Predictive Coding Account of Psychosis
Sterzer, P., Adams, R. A., Fletcher, P., Frith, C., Lawrie, S. M., Muckli, L., Petrovic, P., Uhlhaas, P., Voss, M., & Corlett, P. R. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.05.015 · Cited by 941
A feedforward architecture accounts for rapid categorization
Serre, T., Oliva, A., & Poggio, T. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700622104 · Cited by 918
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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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
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