The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Shifts in Selective Visual Attention: Towards the Underlying Neural Circuitry
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.
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 logical calculus of the ideas immanent in nervous activity
McCulloch, W. S., & Pitts, W. (1943) · The Bulletin of Mathematical Biophysics · doi:10.1007/bf02478259 · Cited by 18,566
Posner, M. I. (1980) · Quarterly Journal of Experimental Psychology · doi:10.1080/00335558008248231 · Cited by 9,670
Controlled and automatic human information processing: I. Detection, search, and attention.
Schneider, W., & Shiffrin, R. M. (1977) · Psychological Review · doi:10.1037/0033-295x.84.1.1 · Cited by 5,902
Cited by
Computational modelling of visual attention
Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience · doi:10.1038/35058500 · Cited by 4,733
Self-citationHierarchical models of object recognition in cortex
Riesenhuber, M., & Poggio, T. (1999) · Nature Neuroscience · doi:10.1038/14819 · Cited by 3,309
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
Involuntary covert orienting is contingent on attentional control settings
Folk, C. L., Remington, R. W., & Johnston, J. C. (1992) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.18.4.1030 · Cited by 2,487
Saliency filters: Contrast based filtering for salient region detection
Perazzi, F., Krahenbuhl, P., Pritch, Y., & Hornung, A. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6247743 · Cited by 2,110
(1990) · CaltechAUTHORS (California Institute of Technology) · Cited by 1,661
Neuroscience-Inspired Artificial Intelligence
Hassabis, D., Kumaran, D., Summerfield, C., & Botvinick, M. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.011 · Cited by 1,557
Top–down and bottom–up control of visual selection
Theeuwes, J. (2010) · Acta Psychologica · doi:10.1016/j.actpsy.2010.02.006 · Cited by 1,385
Spatial Neglect and Attention Networks
Corbetta, M., & Shulman, G. L. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113731 · Cited by 1,318
Information processing in the primate visual system: an integrated systems perspective
Van Essen, D. C., Anderson, C. H., & Felleman, D. J. (1992) · Science · doi:10.1126/science.1734518 · Cited by 1,266
Competitive Mechanisms Subserve Attention in Macaque Areas V2 and V4
Reynolds, J. H., Chelazzi, L., & Desimone, R. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-05-01736.1999 · Cited by 1,236
Modeling visual attention via selective tuning
Tsotsos, J. K., Culhane, S. M., Kei Wai, W. Y., Lai, Y., Davis, N., & Nuflo, F. (1995) · Artificial Intelligence · doi:10.1016/0004-3702(95)00025-9 · Cited by 1,143
Priming of pop-out: I. Role of features
Maljkovic, V., & Nakayama, K. (1994) · Memory & Cognition · doi:10.3758/bf03209251 · Cited by 1,107
The representation of visual salience in monkey parietal cortex
Gottlieb, J. P., Kusunoki, M., & Goldberg, M. E. (1998) · Nature · doi:10.1038/35135 · Cited by 1,078
BING: Binarized Normed Gradients for Objectness Estimation at 300fps
Cheng, M.-M., Zhang, Z., Lin, W.-Y., & Torr, P. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.414 · Cited by 1,050
Attention, intention, and priority in the parietal lobe
Bisley, J. W., & Goldberg, M. E. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-060909-152823 · Cited by 1,043
Matching Behavior and the Representation of Value in the Parietal Cortex
Sugrue, L. P., Corrado, G. S., & Newsome, W. T. (2004) · Science · doi:10.1126/science.1094765 · Cited by 1,030
Fundamental Components of Attention
Knudsen, E. I. (2007) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.30.051606.094256 · Cited by 1,020
Gain Modulation from Background Synaptic Input
Chance, F. S., Abbott, L. F., & Reyes, A. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)00820-6 · Cited by 1,012
Contrast-based image attention analysis by using fuzzy growing
Ma, Y.-F., & Zhang, H.-J. (2003) · Proceedings of the eleventh ACM international conference on Multimedia · doi:10.1145/957013.957094 · Cited by 965
Five factors that guide attention in visual search
Wolfe, J. M., & Horowitz, T. S. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0058 · Cited by 875
Saliency, attention, and visual search: An information theoretic approach
Bruce, N. D. B., & Tsotsos, J. K. (2009) · Journal of Vision · doi:10.1167/9.3.5 · Cited by 855
Eye guidance in natural vision: reinterpreting salience
Tatler, B. W., Hayhoe, M. M., Land, M. F., & Ballard, D. H. (2011) · Journal of Vision · doi:10.1167/11.5.5 · Cited by 775
Attention modulates responses in the human lateral geniculate nucleus
O'Connor, D. H., Fukui, M. M., Pinsk, M. A., & Kastner, S. (2002) · Nature Neuroscience · doi:10.1038/nn957 · Cited by 734
Neural dynamics for landmark orientation and angular path integration
Seelig, J. D., & Jayaraman, V. (2015) · Nature · doi:10.1038/nature14446 · Cited by 718
Guided Search 6.0: an updated model of visual search
Wolfe, J. M. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-020-01859-9 · Cited by 703
Differential attention-dependent response modulation across cell classes in macaque visual area V4
Mitchell, J. F., Sundberg, K. A., & Reynolds, J. H. (2007) · Neuron · doi:10.1016/j.neuron.2007.06.018 · Cited by 665
Inhibitory tagging system facilitates visual search
Klein, R. (1988) · Nature · doi:10.1038/334430a0 · Cited by 608
Ptak, R. (2012) · The Neuroscientist · doi:10.1177/1073858411409051 · Cited by 597
The Temporal Correlation Hypothesis of Visual Feature Integration
Gray, C. M. (1999) · Neuron · doi:10.1016/s0896-6273(00)80820-x · Cited by 541
von der Malsburg, C. (1999) · Neuron · doi:10.1016/s0896-6273(00)80825-9 · Cited by 501
DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations
Kruthiventi, S. S. S., Ayush, K., & Babu, R. V. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2710620 · Cited by 478
Electrophysiological Evidence of the Capture of Visual Attention
Hickey, C., McDonald, J. J., & Theeuwes, J. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.4.604 · Cited by 475
Rosenthal, S. B., Twomey, C. R., Hartnett, A. T., Wu, H. S., & Couzin, I. D. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1420068112 · Cited by 474
Saliency in VR: How Do People Explore Virtual Environments?
Sitzmann, V., Serrano, A., Pavel, A., Agrawala, M., Gutierrez, D., Masia, B., & Wetzstein, G. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2793599 · Cited by 459
Spatial Attention Effects in Macaque Area V4
Connor, C. E., Preddie, D. C., Gallant, J. L., & Van Essen, D. C. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-09-03201.1997 · Cited by 448
Mechanisms of top-down attention
Baluch, F., & Itti, L. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.02.003 · Cited by 437
A visual salience map in the primate frontal eye field
Thompson, K. G., & Bichot, N. P. (2005) · Progress in Brain Research · doi:10.1016/s0079-6123(04)47019-8 · Cited by 431
The role of metacognition in human social interactions
Frith, C. D. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0123 · Cited by 407
Cooperative and competitive spreading dynamics on the human connectome
Mišić, B., Betzel, R. F., Nematzadeh, A., Goñi, J., Griffa, A., Hagmann, P., Flammini, A., Ahn, Y.-Y., & Sporns, O. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.035 · Cited by 342
The brain circuitry of attention
Shipp, S. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.03.004 · Cited by 402
Saliency detection using maximum symmetric surround
Achanta, R., & Susstrunk, S. (2010) · 2010 IEEE International Conference on Image Processing · doi:10.1109/icip.2010.5652636 · Cited by 384
Task and context determine where you look
Rothkopf, C. A., Ballard, D. H., & Hayhoe, M. M. (2016) · Journal of Vision · doi:10.1167/7.14.16 · Cited by 366
Bayesian Saliency via Low and Mid Level Cues
Xie, Y., Lu, H., & Yang, M.-H. (2013) · IEEE Transactions on Image Processing · doi:10.1109/tip.2012.2216276 · Cited by 367
Circuits for Action and Cognition: A View from the Superior Colliculus
Basso, M. A., & May, P. J. (2017) · Annual Review of Vision Science · doi:10.1146/annurev-vision-102016-061234 · Cited by 336
Search Goal Tunes Visual Features Optimally
Navalpakkam, V., & Itti, L. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.018 · Cited by 331
The Role of Stimulus-Driven and Goal-Driven Control in Saccadic Visual Selection.
van Zoest, W., Donk, M., & Theeuwes, J. (2004) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.30.4.749 · Cited by 330
Bajcsy, R., Aloimonos, Y., & Tsotsos, J. K. (2018) · Autonomous Robots · doi:10.1007/s10514-017-9615-3 · Cited by 328
Attention modulates spatial priority maps in the human occipital, parietal and frontal cortices
Sprague, T. C., & Serences, J. T. (2013) · Nature Neuroscience · doi:10.1038/nn.3574 · Cited by 266
The frontal aging hypothesis evaluated.
GREENWOOD, P. M. (2000) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617700666092 · Cited by 311
Wilson, A. L., Buckley, E., Buckley, J. D., & Bogomolova, S. (2016) · Food Quality and Preference · doi:10.1016/j.foodqual.2016.02.009 · Cited by 308
A theory of visual stability across saccadic eye movements
Bridgeman, B., Van der Heijden, A. H. C., & Velichkovsky, B. M. (1994) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00034361 · Cited by 286
State-of-the-Art in 360° Video/Image Processing: Perception, Assessment and Compression
Xu, M., Li, C., Zhang, S., & Callet, P. L. (2020) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2020.2966864 · Cited by 281
Dopaminergic basis of salience dysregulation in psychosis
Winton-Brown, T. T., Fusar-Poli, P., Ungless, M. A., & Howes, O. D. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2013.11.003 · Cited by 231
Reward grabs the eye: Oculomotor capture by rewarding stimuli
Theeuwes, J., & Belopolsky, A. V. (2012) · Vision Research · doi:10.1016/j.visres.2012.07.024 · Cited by 237
White, B. J., Berg, D. J., Kan, J. Y., Marino, R. A., Itti, L., & Munoz, D. P. (2017) · Nature Communications · doi:10.1038/ncomms14263 · Cited by 191
Altering Spatial Priority Maps via Reward-Based Learning
Chelazzi, L., E to inova, J., Calletti, R., Lo Gerfo, E., Sani, I., Della Libera, C., & Santandrea, E. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0277-14.2014 · Cited by 195
Attentional Enhancement via Selection and Pooling of Early Sensory Responses in Human Visual Cortex
Pestilli, F., Carrasco, M., Heeger, D. J., & Gardner, J. L. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.025 · Cited by 190
Laminar fMRI: applications for cognitive neuroscience
Lawrence, S. J. D., Formisano, E., Muckli, L., & de Lange, F. P. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.004 · Cited by 186
Visual Selective Behavior Can Be Triggered by a Feed-Forward Process
VanRullen, R., & Koch, C. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903321208141 · Cited by 140
Self-citationWhat's color got to do with it? The influence of color on visual attention in different categories
Frey, H. P., Honey, C., & Konig, P. (2008) · Journal of Vision · doi:10.1167/8.14.6 · Cited by 91
A pure salience response in posterior parietal cortex
Arcizet, F., Mirpour, K., & Bisley, J. W. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr035 · Cited by 90
Introducing a Bayesian model of selective attention based on active inference
Mirza, M. B., Adams, R. A., Friston, K., & Parr, T. (2019) · Scientific Reports · doi:10.1038/s41598-019-50138-8 · Cited by 83
Tamber-Rosenau, B. J., Asplund, C. L., & Marois, R. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00506.2018 · Cited by 63
Elemental operations in vision
ROELFSEMA, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.03.012 · Cited by 48
CMOS current mode winner-take-all circuit with distributedhysteresis
DeWeerth, S. P., & Morris, T. G. (1995) · Electronics Letters · doi:10.1049/el:19950729 · Cited by 42
Schwartz, B. (2001) · Frontiers in bioscience · doi:10.2741/schwartz · Cited by 40
A possible evolutionary function of phenomenal conscious experience of pain
Kolodny, O., Moyal, R., & Edelman, S. (2021) · Neuroscience of Consciousness · doi:10.1093/nc/niab012 · Cited by 31
Allenmark, F., Shi, Z., Pistorius, R. L., Theisinger, L. A., Koutsouleris, N., Falkai, P., Müller, H. J., & Falter-Wagner, C. M. (2021) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-020-04828-2 · Cited by 27
Li, H., Han, T., Wang, J., Lu, Z., Cao, X., Chen, Y., Li, L., Zhou, C., & Chai, X. (2017) · Information Sciences · doi:10.1016/j.ins.2017.06.014 · Cited by 27
Metadata
- Authors
- Koch, C., & Ullman, S.
- Venue
- Matters of Intelligence
- Publisher
- Springer Netherlands
- Published
- 1987
- Volume
- 4
- Issue
- 4
- Pages
- 115-141
- OpenAlex
- W1497599070
- Cited by
- 3,722
- References
- 3
- FWCI
- 44.58
- Type
- book chapter
- Language
- en
- Open access
- closed
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.