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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“Animal and human studies of vision support this hypothesis (16–19).”
From The Predictive Coding Account of Psychosis (2018) · cites this paper as [18]
Experimental — accuracy not yet measuredIn the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
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
Flagged first, then by citations
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
Items 101–200 of 254
Feedback Enhances Feedforward Figure-Ground Segmentation by Changing Firing Mode
Supèr, H., & August Romeo, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021641 · Cited by 20
Region- and edge-based configurational effects in texture segmentation
Giora, E., & Casco, C. (2007) · Vision Research · doi:10.1016/j.visres.2007.01.009 · Cited by 20
No Evidence for Neural Overlap between Unconsciously Processed and Imagined Stimuli
Dijkstra, N., van Gaal, S., Geerligs, L., Bosch, S., & van Gerven, M. A. J. (2021) · eNeuro · doi:10.1523/eneuro.0228-21.2021 · Cited by 23
Contour entropy: A new determinant of perceiving ground or a hole.
Gillam, B., & Grove, P. M. (2011) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0021920 · Cited by 19
Why do schizophrenic patients hallucinate?
Roelfsema, P. R., & Supèr, H. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03410029 · Cited by 18
Self-citationERP signs of categorical and supra-categorical processing of visual information
Zani, A., Marsili, G., Senerchia, A., Orlandi, A., CITRON, F. M. M., Rizzi, E., & Proverbio, A. M. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.11.012 · Cited by 18
Spatial attention in early vision for the perception of border ownership
Wagatsuma, N., Shimizu, R., & Sakai, K. (2008) · Journal of Vision · doi:10.1167/8.7.22 · Cited by 18
Figure–Ground Representation and Its Decay in Primary Visual Cortex
Strother, L., Lavell, C., & Vilis, T. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00190 · Cited by 17
Time-Varying Effective Connectivity during Visual Object Naming as a Function of Semantic Demands
Poch, C., Garrido, M. I., Igoa, J. M., Carmona, M. B., García‐Morales, I., & Campo, P. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4888-14.2015 · Cited by 18
Feedback contribution to surface motion perception in the human early visual cortex
Marquardt, I., Weerd, P. D., Schneider, M., Gülban, Ö. F., Ivanov, D., Wang, Y., & Uludaǧ, K. (2020) · eLife · doi:10.7554/elife.50933 · Cited by 17
Schneider, D. A., Beste, C., & Wascher, E. (2012) · Frontiers in Psychology · doi:10.3389/fpsyg.2012.00164 · Cited by 17
Switching dynamics of border ownership: A stochastic model for bi-stable perception
Kogo, N., Galli, A., & Wagemans, J. P. (2011) · Vision Research · doi:10.1016/j.visres.2011.08.010 · Cited by 16
Past experience and meaning affect object detection: A hierarchical Bayesian approach
Peterson, M. A. (2019) · The Psychology of learning and motivation/The psychology of learning and motivation · doi:10.1016/bs.plm.2019.03.006 · Cited by 18
Surface filling-in and contour interpolation contribute independently to Kanizsa figure formation.
Chen, S., Glasauer, S., Müller, H. J., & Conci, M. (2018) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000540 · Cited by 15
The Role of Foveal Cortex in Discriminating Peripheral Stimuli: The Sketchpad Hypothesis
Oletto, C. M., Contemori, G., Bertamini, M., & Battaglini, L. (2022) · NeuroSci · doi:10.3390/neurosci4010002 · Cited by 15
Spatio-temporal dynamics of attentional selection stages during multiple object tracking
Merkel, C., Hopf, J., & Schoenfeld, M. A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.046 · Cited by 15
Neural evidence for competition-mediated suppression in the perception of a single object
Cacciamani, L., Scalf, P. E., & Peterson, M. A. (2015) · Cortex · doi:10.1016/j.cortex.2015.05.018 · Cited by 15
Hierarchical interactions between sensory cortices defy predictive coding
Westerberg, J. A., & Roelfsema, P. R. (2025) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.09.018 · Cited by 15
Self-citationThe use of higher-order statistics in rapid object categorization in natural scenes
Banno, H., & Saiki, J. (2015) · Journal of Vision · doi:10.1167/15.2.4 · Cited by 15
Jolij, J., Scholte, H. S., van Gaal, S., Hodgson, T. L., & Lamme, V. A. F. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00034 · Cited by 13
Self-citation(2014) · The MIT Press eBooks · doi:10.7551/mitpress/9780262027854.001.0001 · Cited by 17
Attention as the ‘glue’ for object integration in parietal extinction
Conci, M., Groß, J., Keller, I., Müller, H. J., & Finke, K. (2018) · Cortex · doi:10.1016/j.cortex.2017.12.024 · Cited by 13
Cue Competition Affects Temporal Dynamics of Edge-assignment in Human Visual Cortex
Brooks, J. L., & Palmer, S. E. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21433 · Cited by 13
Ventral extra-striate cortical areas are required for human visual texture segmentation
Allen, H. A., Humphreys, G. W., Colin, J., & Heiko Neumann, B. (2009) · Journal of Vision · doi:10.1167/9.9.2 · Cited by 13
Kogo, N., & van Ee, R. (2015) · Oxford University Press eBooks · Cited by 13
Involvement of superior colliculus in complex figure detection of mice
Cazemier, J. L., Haak, R., Tran, T. L., Hsu, A. T., Husić, M., Peri, B. D., Kirchberger, L., Self, M. W., Roelfsema, P. R., & Heimel, J. A. (2024) · eLife · doi:10.7554/elife.83708 · Cited by 12
Self-citationBreitmeyer, B. G., & Tapia, E. (2011) · Advances in Cognitive Psychology · doi:10.2478/v10053-008-0088-y · Cited by 12
Contour integration with corners
Persike, M., & Meinhardt, G. (2016) · Vision Research · doi:10.1016/j.visres.2016.07.010 · Cited by 12
Meeter, M., Jehee, J. F. M., & Murre, J. M. J. (2007) · Philosophical Psychology · doi:10.1080/09515080701694128 · Cited by 12
No blind schizophrenics: Are NMDA-receptor dynamics involved?
Sanders, G. S., Platek, S. M., & Gallup, G. G. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03420025 · Cited by 13
Metacontrast, target recovery, and the magno- and parvocellular systems: A reply to the perspective
Öğmen, H., Purushothaman, G., & Breitmeyer, B. G. (2008) · Visual Neuroscience · doi:10.1017/s0952523807080649 · Cited by 12
Peters, J. C., Jans, B., van de Ven, V. G., Weerd, P. D., & Goebel, R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.070 · Cited by 11
Contextual effects on perceived contrast: Figure-ground assignment and orientation contrast
Self, M. W., Mookhoek, A., Tjalma, N., & Roelfsema, P. R. (2015) · Journal of Vision · doi:10.1167/15.2.2 · Cited by 11
Self-citationBiologically plausible learning in neural networks with modulatory feedback
Grant, W. S., Tanner, J., & Itti, L. (2017) · Neural Networks · doi:10.1016/j.neunet.2017.01.007 · Cited by 10
Spatially rearranged object parts can facilitate perception of intact whole objects
Cacciamani, L., Ayars, A., & Peterson, M. A. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00482 · Cited by 10
Schettino, A., Loeys, T., Bossi, M., & Pourtois, G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038064 · Cited by 10
Goebel, R., Muckli, L. F., & Kim, D. (2004) · Elsevier eBooks · doi:10.1016/b978-012547626-3/50036-3 · Cited by 12
Goebel, R., Muckli, L. F., & Kim, D. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-374236-0.10037-9 · Cited by 13
Unveiling the neural dynamics of conscious perception in rapid object recognition
Motlagh, S. C., Joanisse, M. F., Wang, B., & Mohsenzadeh, Y. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120668 · Cited by 11
Vancleef, K., Wagemans, J. P., & Humphreys, G. W. (2013) · Experimental Brain Research · doi:10.1007/s00221-013-3629-7 · Cited by 9
A lateralized auditory evoked potential elicited when auditory objects are defined by spatial motion
Butcher, A., Govenlock, S. W., & Tata, M. S. (2010) · Hearing Research · doi:10.1016/j.heares.2010.10.019 · Cited by 9
Kesner, L. (2023) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2022.0417 · Cited by 11
The scalable mammalian brain: emergent distributions of glia and neurons
Jehee, J. F. M., & Murre, J. M. J. (2008) · Biological Cybernetics · doi:10.1007/s00422-008-0228-y · Cited by 10
Salient objects dominate the central fixation bias when orienting toward images
Wolf, C., & Lappe, M. (2021) · Journal of Vision · doi:10.1167/jov.21.8.23 · Cited by 9
Mechanisms of disrupted language comprehension in schizophrenia
Condray, R., & Steinhauer, S. R. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03270023 · Cited by 9
A central and unified role of corticocortical feedback in parsing visual scenes
Xin, Y., Yan, Y., & Li, W. (2025) · Nature Communications · doi:10.1038/s41467-025-62279-8 · Cited by 8
Li, F., Jiang, W., Wang, T.-Y., Xie, T., & Yao, H. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.03.039 · Cited by 10
Recurrent Network with Large Representational Capacity
Domijan, D. (2004) · Neural Computation · doi:10.1162/0899766041336422 · Cited by 8
End-to-end optimization of prosthetic vision
de Ruyter van Steveninck, J., Güçlü, U., van Wezel, R., & van Gerven, M. (2020) · doi:10.1101/2020.12.19.423601 · Cited by 54
“…a similar processing hierarchy to that of the visual cortex (Güçlü & van Gerven, 2015; Yamins, Hong, Cadieu, Solomon, Seibert, & DiCarlo, 2014) and boundary detection is one of these processing steps needed for segregation of objects from background (Roelfsema, Lamme, Spekreijse, & Bosch, 2002).”
Xie, S., Singer, J., Yilmaz, B., KAISER, D. H., & Cichy, R. M. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003354 · Cited by 15
Common Spaces of Multi-Commercial Complexes from Urban Sustainability
Kim, S. (2017) · Sustainability · doi:10.3390/su9081336 · Cited by 7
Human Visual Cortex and Deep Convolutional Neural Network Care Deeply about Object Background
Loke, J., Seijdel, N., Snoek, L., Sörensen, L. K. A., van de Klundert, R., van der Meer, M., Quispel, E., Cappaert, N. L. M., & Scholte, H. S. (2024) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02098 · Cited by 7
Ginsberg, J. P. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0328002x · Cited by 7
Layher, G., Schrodt, F., Butz, M. V., & Heiko Neumann, B. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01287 · Cited by 9
Dual counterstream architecture may support separation between vision and predictions
Marić, M., & Domijan, D. (2022) · Consciousness and Cognition · doi:10.1016/j.concog.2022.103375 · Cited by 7
Brooks, J. L., Gilaie‐Dotan, S., Rees, G. E., Shlomo Bentin, A., & Driver, J. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.02.024 · Cited by 7
The ketamine model for schizophrenia
Alpert, M., & Angrist, B. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03220021 · Cited by 7
A new angle on contour integration: The role of corners
Persike, M., & Meinhardt, G. (2017) · Journal of Vision · doi:10.1167/17.12.9 · Cited by 7
High-frequency synchronisation in schizophrenia: Too much or too little?
Williams, L. M., Lee, K.-H., Haig, A. R., & Gordon, E. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03480023 · Cited by 7
Krishnamurthy, P., Silberberg, G., & Lansner, A. (2015) · Frontiers in Neural Circuits · doi:10.3389/fncir.2015.00060 · Cited by 7
Neural Mechanisms of Cortical Motion Computation Based on a Neuromorphic Sensory System
Abdul-Kreem, L. I., & Heiko Neumann, B. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142488 · Cited by 10
Behavior in Oblivion: The Neurobiology of Subliminal Priming
Jacobs, C., & Sack, A. T. (2012) · Brain Sciences · doi:10.3390/brainsci2020225 · Cited by 6
Sustained perceptual invisibility of solid shapes following contour adaptation to partial outlines
Cox, M. A., Lowe, K. A., Blake, R., & Maier, A. (2014) · Consciousness and Cognition · doi:10.1016/j.concog.2014.02.007 · Cited by 6
Peterson, M. A., Mojica, A. J., Salvagio, E., & Kimchi, R. (2016) · Attention Perception & Psychophysics · doi:10.3758/s13414-016-1223-3 · Cited by 6
Cortical Merging in S1 as a Substrate for Tactile Input Grouping
Corbo, J., Zennou‐Azogui, Y., Xerri, C., & Catz, N. (2018) · eNeuro · doi:10.1523/eneuro.0342-17.2017 · Cited by 6
Loke, J., Seijdel, N., Snoek, L., van der Meer, M., van de Klundert, R., Quispel, E., Cappaert, N. L. M., & Scholte, H. S. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01914 · Cited by 7
The effect of visual experience on texture segmentation without awareness
Guzzon, D., & Casco, C. (2011) · Vision Research · doi:10.1016/j.visres.2011.10.006 · Cited by 6
Theory of mind in schizophrenia: Damaged module or deficit in cognitive coordination?
Leiser, D., & Bonshtein, U. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03350022 · Cited by 6
Cognitive coordination and its neurobiological bases: A new continent to explore
Silverstein, S. M., & Phillips, W. A. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0349002x · Cited by 6
Bressler, S. L. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03250020 · Cited by 6
The essential role of feedback processing for figure-ground perception in micePreprint
Kirchberger, L., Mukherjee, S., Schnabel, U. H., van Beest, E. H., Barsegyan, A., Levelt, C. N., Heimel, J. A., Lorteije, J. A. M., van der Togt, C., Self, M. W., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/456459 · Cited by 8
Self-citationJayakumar, S., Ahmed, A. O., Butler, P. D., Silverstein, S. M., Thompson, J. L., & Seitz, A. R. (2024) · Vision Research · doi:10.1016/j.visres.2024.108394 · Cited by 5
The Parietal Cortex in Sensemaking: The Dissociation of Multiple Types of Spatial Information
Sun, Y., & Wang, H. (2013) · Computational Intelligence and Neuroscience · doi:10.1155/2013/152073 · Cited by 5
Attention and competition in figure-ground perception
Peterson, M. A., & Salvagio, E. (2009) · Progress in brain research · doi:10.1016/s0079-6123(09)17601-x · Cited by 5
NMDA synapses can bias competition between object representations and mediate attentional selection
Raffone, A., Murre, J. M. J., & Wolters, G. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03400022 · Cited by 6
How does the ventral pathway contribute to spatial attention and the planning of eye movements
Hamker, F. H. (2002) · Cited by 5
Wu, X., & Spering, M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0275324 · Cited by 3
Enhanced spatial resolution on figures versus grounds
Hecht, L. N., Cosman, J. D., & Vecera, S. P. (2016) · Attention Perception & Psychophysics · doi:10.3758/s13414-016-1099-2 · Cited by 4
Peeling the onion: NMDA dysfunction as a unifying model in schizophrenia
Javitt, D. C. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0333002x · Cited by 4
Robol, V., Grassi, M., & Casco, C. (2013) · Vision Research · doi:10.1016/j.visres.2013.05.010 · Cited by 4
Kim, S., & Han, J.-A. (2016) · Sustainability · doi:10.3390/su8050439 · Cited by 4
Schizophrenic cognition: Taken out of context?
Hemsley, D. R. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03310027 · Cited by 4
Ernst, U. A., Schiffer, A., Persike, M., & Meinhardt, G. (2016) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2016.00078 · Cited by 3
Retinotopic biases in contextual feedback signals to V1 for object and scene processing
Bennett, M., Petro, L. S., Abbatecola, C., & Muckli, L. F. (2024) · Current Research in Neurobiology · doi:10.1016/j.crneur.2024.100143 · Cited by 4
General anesthesia as a possible GABAergic modulator affects visual processing in children
van den Boomen, C., de Graaff, J. C., de Jong, T. P. V. M., Kalkman, C. J., & Kemner, C. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00042 · Cited by 3
A biologically inspired neurocomputing circuit for image representation
Wei, H., & Zuo, Q. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.01.078 · Cited by 3
August Romeo, A., Arall, M., & Supèr, H. (2012) · Frontiers in Physiology · doi:10.3389/fphys.2012.00274 · Cited by 3
Titone, D. A., & Debruille, J. B. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03470027 · Cited by 3
Conde‐Ocazionez, S., Altavini, T. S., Wunderle, T., & Schmidt, K. E. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13786 · Cited by 3
Early childhood development of visual texture segregation in full-term and preterm children
Sayeur, M. S., Vannasing, P., Lefrançois, M., Tremblay, E., Leporé, F., Lassonde, M. C., McKerral, M., & Gallagher, A. (2015) · Vision Research · doi:10.1016/j.visres.2015.04.013 · Cited by 3
Kogo, N., & Froyen, V. (2021) · Psychological Review · doi:10.1037/rev0000293 · Cited by 3
Стрелец, В. Б. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03440028 · Cited by 3
Neural theories need to account for, not discount, introspection and behavior
Seth, A. K., & Barrett, A. B. (2010) · Cognitive Neuroscience · doi:10.1080/17588928.2010.496533 · Cited by 3
No overlap between unconscious and imagined representationsPreprint
Dijkstra, N., van Gaal, S., Geerligs, L., Bosch, S., & van Gerven, M. A. J. (2021) · doi:10.31234/osf.io/ctdmk · Cited by 3
The representational nature of spatio-temporal recurrent processing in visual object recognitionPreprint
Xie, S., Singer, J., Yilmaz, B., KAISER, D. H., & Cichy, R. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.30.605751 · Cited by 3
Functional recursion of orientation cues in figure-ground separation
Victor, J. D., & Conte, M. M. (2022) · Vision Research · doi:10.1016/j.visres.2022.108047 · Cited by 2
Vincent, J., Germany, T. U. B., & Germany, T. U. B. (2022) · Journal of Vision · doi:10.1167/jov.22.3.20 · Cited by 2
Phenomenology, context, and self-experience in schizophrenia
Sass, L. A., & Uhlhaas, P. J. (2003) · Behavioral and Brain Sciences · doi:10.1017/s0140525x03430021 · Cited by 2
Gupta, A. (2010) · Cited by 2
Experiencing more complexity than we can tell
Timmermans, B., Windey, B., & Axel Cleeremans, B. (2010) · Cognitive Neuroscience · doi:10.1080/17588928.2010.497586 · Cited by 3
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 ›
Are you an author, or do you see a problem with this page? Request a review