The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Eye movements in natural behavior
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Citations
Cites
A robust layered control system for a mobile robot
Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799 · cited 1×
“Almost invariably, the visual computation needed in a task context is vastly simpler than that required by general-purpose vision and, as a consequence, can be done very quickly [52-55].”
BackgroundComputational modelling of visual attention
Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience · doi:10.1038/35058500 · Cited by 4,733
Neural correlates of decision variables in parietal cortex
Platt, M. L., & Glimcher, P. W. (1999) · Nature · doi:10.1038/22268 · Cited by 1,721
Multiple reward signals in the brain
Schultz, W. (2000) · Nature Reviews Neuroscience · doi:10.1038/35044563 · Cited by 1,303
Corbetta, M. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.3.831 · Cited by 995
Computational roles for dopamine in behavioural control
Montague, P. R., Hyman, S. E., & Cohen, J. D. (2004) · Nature · doi:10.1038/nature03015 · Cited by 966
Memory Representations in Natural Tasks
Ballard, D. H., Hayhoe, M. M., & Pelz, J. B. (1995) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1995.7.1.66 · Cited by 817
Self-citationFrom eye movements to actions: how batsmen hit the ball
Land, M. F., & McLeod, P. (2000) · Nature Neuroscience · doi:10.1038/81887 · Cited by 725
Temporal difference models describe higher-order learning in humans
Seymour, B., O'Doherty, J. P., Dayan, P., Koltzenburg, M., Jones, A. K., Dolan, R. J., Friston, K. J., & Frackowiak, R. S. (2004) · Nature · doi:10.1038/nature02581 · Cited by 605
Modulation of Neuronal Activity in Superior Colliculus by Changes in Target Probability
Basso, M. A., & Wurtz, R. H. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-18-07519.1998 · Cited by 474
The implementation of visual routines
Roelfsema, P. R., Lamme, V. A. F., & Spekreijse, H. (2000) · Vision Research · doi:10.1016/s0042-6989(00)00004-3 · Cited by 162
Cited by
Rayner, K. (2009) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210902816461 · Cited by 2,682
Attention mechanisms in computer vision: A survey
Guo, M.-H., Xu, T.-X., Liu, J.-J., Liu, Z.-N., Jiang, P.-T., Mu, T.-J., Zhang, S.-H., Martin, R. R., Cheng, M.-M., & Hu, S.-M. (2022) · Computational Visual Media · doi:10.1007/s41095-022-0271-y · Cited by 2,566
“M ETHODS for diverting attention to the most important regions of an image and disregarding irrelevant parts are called attention mechanisms; the human visual system uses one [1], [2], [3], [4] to assist in analyzing and understanding complex scenes efficiently and effectively.”
BackgroundPrinciples of sensorimotor learning
Wolpert, D. M., Diedrichsen, J., & Flanagan, J. R. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3112 · Cited by 1,391
Two types of dopamine neuron distinctly convey positive and negative motivational signals
Matsumoto, M., & Hikosaka, O. (2009) · Nature · doi:10.1038/nature08028 · Cited by 1,378
What do we mean by prediction in language comprehension?
Kuperberg, G. R., & Jaeger, T. F. (2016) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2015.1102299 · Cited by 1,087
Metadata
- Authors
- Hayhoe, M., & Ballard, D.
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2005-04
- Volume
- 9
- Issue
- 4
- Pages
- 188-194
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2147299944
- Cited by
- 1,326
- References
- 11
- FWCI
- 9.24
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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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.
