The DOI matches its Crossref record; 60 of the 61 references it cites were found in a registry or an index.
Predictive eye movements in natural vision
Open accessAbstract
In the natural world, the brain must handle inherent delays in visual processing. This is a problem particularly during dynamic tasks. A possible solution to visuo-motor delays is prediction of a future state of the environment based on the current state and properties of the environment learned from experience. Prediction is well known to occur in both saccades and pursuit movements and is likely to depend on some kind of internal visual model as the basis for this prediction. However, most evidence comes from controlled laboratory studies using simple paradigms. In this study, we examine eye movements made in the context of demanding natural behavior, while playing squash. We show that prediction is a pervasive component of gaze behavior in this context. We show in addition that these predictive movements are extraordinarily precise and operate continuously in time across multiple trajectories and multiple movements. This suggests that prediction is based on complex dynamic visual models of the way that balls move, accumulated over extensive experience. Since eye, head, arm, and body movements all co-occur, it seems likely that a common internal model of predicted visual state is shared by different effectors to allow flexible coordination patterns. It is generally agreed that internal models are responsible for predicting future sensory state for control of body movements. The present work suggests that model-based prediction is likely to be a pervasive component in natural gaze control as well.
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“An alternative explanation however emerges from studies of eye movements in natural behaviors, which suggests that the value of an eye movement lies in reducing uncertainty and increasing the expected reward (probability of success) of a future action (Ballard and Hayhoe, 2009; Hayhoe et al., 2012; Rothkopf et al., 2007; Tatler et al., 2011).”
From Attention, learning, and the value of information (2012) · cites this paper as Hayhoe et al., 2012
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Cites
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Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience · doi:10.1038/35058500 · Cited by 4,733
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Internal models in the cerebellum
Wolpert, D. M., Miall, R. C., & Kawato, M. (1998) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01221-2 · Cited by 2,469
Bayesian integration in sensorimotor learning
Körding, K. P., & Wolpert, D. M. (2004) · Nature · doi:10.1038/nature02169 · Cited by 2,004
Eye movements in natural behavior
Hayhoe, M., & Ballard, D. H. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.02.009 · Cited by 1,321
Self-citationBayesian decision theory in sensorimotor control
Kording, K. P., & Wolpert, D. M. (2006) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.05.003 · Cited by 916
From eye movements to actions: how batsmen hit the ball
Land, M. F., & McLeod, P. (2000) · Nature Neuroscience · doi:10.1038/81887 · Cited by 725
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Research works printed but not linked: 1
- Hayhoe M (2009) Visual memory in motor planning and action. In: Brockmole J (ed) Memory for the visual world. Psychology Press, UK, pp 117–139
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Attention, learning, and the value of information
Gottlieb, J. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.034 · Cited by 241
“…studies of eye movements in natural behaviors, which suggest that the value of an eye movement lies in reducing uncertainty and increasing the expected reward (probability of success) of a future action (Ballard and Hayhoe, 2009; Hayhoe et al., 2012; Rothkopf et al., 2007; Tatler et al., 2011).”
BackgroundIs the eye-movement field confused about fixations and saccades? A survey among 124 researchers
Hessels, R. S., Niehorster, D. C., Nyström, M., Andersson, R., & Hooge, I. T. C. (2018) · Royal Society Open Science · doi:10.1098/rsos.180502 · Cited by 237
Diaz, G., Cooper, J., Rothkopf, C., & Hayhoe, M. (2013) · Journal of Vision · doi:10.1167/13.1.20 · Cited by 196
Self-citationUnderstanding Minds in Real-World Environments: Toward a Mobile Cognition Approach
Ladouce, S., Donaldson, D. I., Dudchenko, P. A., & Ietswaart, M. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00694 · Cited by 183
The Head Tracks and Gaze Predicts: How the World’s Best Batters Hit a Ball
Mann, D. L., Spratford, W., & Abernethy, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058289 · Cited by 167
Metadata
- Authors
- Hayhoe, M. M., McKinney, T., Chajka, K., & Pelz, J. B.
- Affiliations
- The University of Texas at Austin (US)
- University at Albany, State University of New York (US)
- Rochester Institute of Technology (US)
- Corresponding author
- Hayhoe, Mary M.
- Venue
- Experimental Brain Research
- Published
- 2011-12-20
- Volume
- 217
- Issue
- 1
- Pages
- 125-136
- ISSN
- 0014-4819 (ISSN-L)
- 1432-1106
- PMC
- PMC3328199
- OpenAlex
- W1977007448
- Cited by
- 155
- References
- 61
- Citations by year
- 2026: 15 · 2025: 16 · 2024: 8 · 2023: 8 · 2022: 10 · 2021: 18 · 2020: 10 · 2019: 13 · 2018: 11 · 2017: 9 · 2016: 12 · 2015: 8 · 2014: 8 · 2013: 6 · 2012: 3
- FWCI
- 2.76
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Experimental Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Eye Institute (R01EY005729, EY05729)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- predictive eye movements, gaze control, internal models, saccades, smooth pursuit eye movements, squash, natural behavior, motor coordination
- MeSH terms
- Adult, Humans, Movement, Pursuit, Smooth, Saccades, Vision, Ocular
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