Memory and prediction in natural gaze control.
Open accessAbstract
In addition to stimulus properties and task factors, memory is an important determinant of the allocation of attention and gaze in the natural world. One way that the role of memory is revealed is by predictive eye movements. Both smooth pursuit and saccadic eye movements demonstrate predictive effects based on previous experience. We have previously shown that unskilled subjects make highly accurate predictive saccades to the anticipated location of a ball prior to a bounce in a virtual racquetball setting. In this experiment, we examined this predictive behaviour. We asked whether the period after the bounce provides subjects with visual information about the ball trajectory that is used to programme the pursuit movement initiated when the ball passes through the fixation point. We occluded a 100 ms period of the ball's trajectory immediately after the bounce, and found very little effect on the subsequent pursuit movement. Subjects did not appear to modify their strategy to prolong the fixation. Neither were we able to find an effect on interception performance. Thus, it is possible that the occluded trajectory information is not critical for subsequent pursuit, and subjects may use an estimate of the ball's trajectory to programme pursuit. These results provide further support for the role of memory in eye movements.
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
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 exact spatial location of the fixation is sensitive to prior beliefs about ball bounciness, shifted to a higher location when higher bounces are expected.
“The exact spatial location of this fixation is known to be sensitive to prior beliefs about ball bounciness, as it is shifted to a higher location when higher bounces are expected [65].”
From Testing predictive coding theories of autism spectrum disorder using models of active inference (2023) · cites this paper as [65]
The Introduction (section 1; page unavailable) says fixations were farther from the bounce point for more elastic balls and suggests that subjects use past experience to predict ball trajectories. The Results (section 3; page unavailable) also report farther fixations at greater bounce speeds. Neither passage establishes that changing prior beliefs about bounciness, rather than ball properties or trajectory, shifts fixation height. (LLM, conf=0.83)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Computational modelling of visual attention
Itti, L., & Koch, C. (2001) · Nature Reviews Neuroscience · doi:10.1038/35058500 · Cited by 4,733 · see citing works
Adaptive representation of dynamics during learning of a motor task
Shadmehr, R., & Mussa-Ivaldi, F. (1994) · The Journal of Neuroscience · doi:10.1523/jneurosci.14-05-03208.1994 · Cited by 2,612 · see citing works
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 · see citing works
Bayesian integration in sensorimotor learning
Körding, K. P., & Wolpert, D. M. (2004) · Nature · doi:10.1038/nature02169 · Cited by 2,004 · see citing works
The updating of the representation of visual space in parietal cortex by intended eye movements
Duhamel, J.-R., Colby, C. L., & Goldberg, M. E. (1992) · Science · doi:10.1126/science.1553535 · Cited by 1,966 · see citing works
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 · see citing works
Self-citationSUN: A Bayesian framework for saliency using natural statistics
Zhang, L., Tong, M. H., Marks, T. K., Shan, H., & Cottrell, G. W. (2008) · Journal of Vision · doi:10.1167/8.7.32 · Cited by 1,228 · see citing works
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 · see citing works
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 · see citing works
Recasting the Smooth Pursuit Eye Movement System
Krauzlis, R. J. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00801.2003 · Cited by 499 · see citing works
Human smooth pursuit: stimulus-dependent responses
Carl, J. R., & Gellman, R. S. (1987) · Journal of Neurophysiology · doi:10.1152/jn.1987.57.5.1446 · Cited by 477 · see citing works
Eye movements and perception: A selective review
Schütz, A. C., Braun, D. I., & Gegenfurtner, K. R. (2011) · Journal of Vision · doi:10.1167/11.5.9 · Cited by 409 · see citing works
The knowledge base of the oculomotor system
Land, M. F., & Furneaux, S. M. (1997) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.1997.0105 · Cited by 392 · see citing works
Becker, W., & Fuchs, A. F. (1985) · Experimental Brain Research · doi:10.1007/bf00237843 · Cited by 347 · see citing works
Melcher, D., & Colby, C. L. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.09.003 · Cited by 314 · see citing works
Cognitive processes involved in smooth pursuit eye movements
Barnes, G. R. (2008) · Brain and Cognition · doi:10.1016/j.bandc.2008.08.020 · Cited by 299 · see citing works
Visuo-motor coordination and internal models for object interception
Zago, M., McIntyre, J., Senot, P., & Lacquaniti, F. (2009) · Experimental Brain Research · doi:10.1007/s00221-008-1691-3 · Cited by 269 · see citing works
Generalization between canonical and non-canonical views in object recognition
Ghose, T., & Liu, Z. (2013) · Journal of Vision · doi:10.1167/13.1.1 · Cited by 261 · see citing works
Learning a saliency map using fixated locations in natural scenes
Zhao, Q., & Koch, C. (2011) · Journal of Vision · doi:10.1167/11.3.9 · Cited by 257 · see citing works
Peters (2010) · doi:10.1016/j.neuron.2010.03.027 · Cited by 244 · see citing works
Neuronal correlates of inferred motion in primate posterior parietal cortex
Assad, J. A., & Maunsell, J. H. R. (1995) · Nature · doi:10.1038/373518a0 · Cited by 238 · see citing works
Probabilistic models in human sensorimotor control
Wolpert, D. M. (2007) · Human Movement Science · doi:10.1016/j.humov.2007.05.005 · Cited by 212 · see citing works
Combining Priors and Noisy Visual Cues in a Rapid Pointing Task
Tassinari, H., Hudson, T. E., & Landy, M. S. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2779-06.2006 · Cited by 202 · see citing works
Why Can't Batters Keep Their Eyes on the Ball?
Bahill, A. T., & LaRitz, T. (1984) · American Scientist · Cited by 200 · see citing works
Diaz, G., Cooper, J., Rothkopf, C., & Hayhoe, M. (2013) · Journal of Vision · doi:10.1167/13.1.20 · Cited by 196 · see citing works
Self-citationCognitive expectations, not habits, control anticipatory smooth oculomotor pursuit
Kowler, E. (1989) · Vision Research · doi:10.1016/0042-6989(89)90052-7 · Cited by 190 · see citing works
Remapping in Human Visual Cortex
Merriam, E. P., Genovese, C. R., & Colby, C. L. (2006) · Journal of Neurophysiology · doi:10.1152/jn.00189.2006 · Cited by 186 · see citing works
Kowler, E., Martins, A. J., & Pavel, M. (1984) · Vision Research · doi:10.1016/0042-6989(84)90122-6 · Cited by 175 · see citing works
Predictive eye movements in natural vision
Hayhoe, M. M., McKinney, T., Chajka, K., & Pelz, J. B. (2012) · Experimental Brain Research · doi:10.1007/s00221-011-2979-2 · Cited by 155 · see citing works
Self-citationThe Cognitive Neurosciences IV
Gazzaniga, M. S., Dehaene, S., & Changeux, J. (2014) · Cited by 148 · see citing works
Keep your eyes on the ball: smooth pursuit eye movements enhance prediction of visual motion
Spering, M., Schütz, A. C., Braun, D. I., & Gegenfurtner, K. R. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00344.2010 · Cited by 141 · see citing works
Spatial and temporal factors in the predictive generation of saccadic eye movements
Findlay, J. M. (1981) · Vision Research · doi:10.1016/0042-6989(81)90162-0 · Cited by 129 · see citing works
Human Ocular Pursuit During the Transient Disappearance of a Visual Target
Bennett, S. J., & Barnes, G. R. (2003) · Journal of Neurophysiology · doi:10.1152/jn.01145.2002 · Cited by 115 · see citing works
Estimating invisible target speed from neuronal activity in monkey frontal eye field
Barborică, A., & Ferrera, V. P. (2002) · Nature Neuroscience · doi:10.1038/nn990 · Cited by 108 · see citing works
Evidence for Synergy Between Saccades and Smooth Pursuit During Transient Target Disappearance
de Xivry, J. O., Bennett, S. J., Lefèvre, P., & Barnes, G. R. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00596.2005 · Cited by 106 · see citing works
Effects of Learning on Smooth Pursuit During Transient Disappearance of a Visual Target
Madelain, L., & Krauzlis, R. J. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00869.2002 · Cited by 90 · see citing works
A dynamic representation of target motion drives predictive smooth pursuit during target blanking
de Xivry, J. O., Missal, M., & Lefèvre, P. (2008) · Journal of Vision · doi:10.1167/8.15.6 · Cited by 87 · see citing works
Duchowski, A. T., Medlin, E., Cournia, N., Murphy, H., Gramopadhye, A. K., Nair, S., Vorah, J., & Melloy, B. J. (2002) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03195486 · Cited by 80 · see citing works
Shelhamer, M., & Joiner, W. M. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00478.2003 · Cited by 76 · see citing works
Goffaux, V., van Zon, J., & Schiltz, C. (2011) · Journal of Vision · doi:10.1167/11.10.1 · Cited by 74 · see citing works
Predictive Smooth Ocular Pursuit During the Transient Disappearance of a Visual Target
Bennett, S. J., & Barnes, G. R. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01188.2003 · Cited by 73 · see citing works
A model of smooth pursuit in primates based on learning the target dynamics
Shibata, T., Tabata, H., Stefan Schaal, A., & Kawato, M. (2005) · Neural Networks · doi:10.1016/j.neunet.2005.01.001 · Cited by 72 · see citing works
Shichinohe, N., Akao, T., Kurkin, S. A., Fukushima, J., Kaneko, C. R. S., & Fukushima, K. (2009) · Neuron · doi:10.1016/j.neuron.2009.05.010 · Cited by 63 · see citing works
Combined smooth and saccadic ocular pursuit during the transient occlusion of a moving visual object
Bennett, S. J., & Barnes, G. R. (2005) · Experimental Brain Research · doi:10.1007/s00221-005-0101-3 · Cited by 63 · see citing works
Neuronal Bases of Directional Expectation and Anticipatory Pursuit
de Hemptinne, C., Lefèvre, P., & Missal, M. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5678-07.2008 · Cited by 61 · see citing works
Fukushima, J., Akao, T., Kurkin, S. A., Kaneko, C. R. S., & Fukushima, K. (2006) · Journal of Vestibular Research · doi:10.3233/ves-2006-161-201 · Cited by 57 · see citing works
Predicting curvilinear target motion through an occlusion
Mrotek, L. A., & Soechting, J. F. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0717-y · Cited by 57 · see citing works
López‐Moliner, J., Brenner, E., Louw, S., & Smeets, J. B. J. (2010) · Experimental Brain Research · doi:10.1007/s00221-010-2421-1 · Cited by 48 · see citing works
Internally Generated Error Signals in Monkey Frontal Eye Field during an Inferred Motion Task
Ferrera, V. P., & Barborică, A. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2977-10.2010 · Cited by 45 · see citing works
Task specificity and the influence of memory on visual search: Comment on Võ and Wolfe (2012).
Hollingworth, A. (2012) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0030237 · Cited by 40 · see citing works
Xiao, Q., Barborică, A., & Ferrera, V. P. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl002 · Cited by 37 · see citing works
Shared Response Preparation for Pursuit and Saccadic Eye Movements
Liston, D. B., & Krauzlis, R. J. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-36-11305.2003 · Cited by 35 · see citing works
Intercepting moving targets: a little foresight helps a lot
Diaz, G. J., Phillips, F., & Fajen, B. R. (2009) · Experimental Brain Research · doi:10.1007/s00221-009-1794-5 · Cited by 33 · see citing works
Self-citationAnti-Glass patterns and real motion perception: Same or different mechanisms?
Viva, M. M. D., & Gori, M. (2008) · Journal of Vision · doi:10.1167/8.2.1 · Cited by 29 · see citing works
Kimmig, H., Biscaldi, M., Mutter, J., Doerr, J. P., & Fischer, B. (2002) · Experimental Brain Research · doi:10.1007/s00221-002-1059-z · Cited by 25 · see citing works
Involvement of the Supplementary Eye Field in Oculomotor Predictive Behavior
Nyffeler, T., Rivaud-Péchoux, S., Wattiez, N., & Gaymard, B. M. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.20073 · Cited by 20 · see citing works
Use of gaze in natural tasks in Stargardt's disease: A preferred retinal region
Sullivan, B., Jovancevic, J., Hayhoe, M., & Sterns, G. K. (2005) · International Congress Series · doi:10.1016/j.ics.2005.05.159 · Cited by 8 · see citing works
Self-citationIntercepting moving objects: do eye movements matter?
Brenner, E., & Smeets, J. B. J. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511750540.008 · Cited by 6 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- [8]Hayhoe MM. 2009. Visual memory in motor planning and action. In Memory for the visual world (ed. Brockmole J.), pp. 117–139 New York, NY: Psychology Press [Google Scholar]
- [32]Lisberger S. 2010. Visual guidance of smooth pursuit eye movements: sensation, action, and what happens in between. Neuron 66, 477–491 (doi:10.1016/j.neuron.2010.03.027.Visual) [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- [53]Kowler E, Martins A. 1984. The effect of expectations on slow oculomotor control. IV. Anticipatory smooth eye movements depend on prior target motions. Vision Res. 24, 197–210 (doi:10.1016/0042-6989(84)90122-6) [DOI] [PubMed] [Google Scholar] · DOI
Cited by
Sorted by citations
Henderson, J. M. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.11.003 · Cited by 202 · see citing works
Hayhoe, M. (2017) · Annual Review of Vision Science · doi:10.1146/annurev-vision-102016-061437 · Cited by 156 · see citing works
Self-citationOn-line and model-based approaches to the visual control of action
Zhao, H., & Warren, W. H. (2014) · Vision Research · doi:10.1016/j.visres.2014.10.008 · Cited by 116 · see citing works
Monache, S. D., Lacquaniti, F., & Bosco, G. (2019) · Journal of Vision · doi:10.1167/19.4.13 · Cited by 112 · see citing works
Eye Tracking in the Wild: the Good, the Bad and the Ugly
Lappi, O. (2015) · Journal of Eye Movement Research · doi:10.16910/jemr.8.5.1 · Cited by 73 · see citing works
Li, S., Zhang, X., & Webb, J. D. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2677902 · Cited by 74 · see citing works
Filling gaps in visual motion for target capture
Bosco, G., Monache, S. D., Gravano, S., Indovina, I., Scaleia, B. L., Maffei, V., Zago, M., & Lacquaniti, F. (2015) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2015.00013 · Cited by 62 · see citing works
Cesqui, B., Mezzetti, M., Lacquaniti, F., & d’Avella, A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0119445 · Cited by 50 · see citing works
Harris, D., Wilkinson, S., & Ellmers, T. J. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105115 · Cited by 46 · see citing works
An examination of active inference in autistic adults using immersive virtual reality
Arthur, T., Harris, D., Buckingham, G., Brosnan, M., Wilson, M., Williams, G., & Vine, S. (2021) · Scientific Reports · doi:10.1038/s41598-021-99864-y · Cited by 44 · see citing works
Watching the Effects of Gravity. Vestibular Cortex and the Neural Representation of “Visual” Gravity
Monache, S. D., Indovina, I., Zago, M., Daprati, E., Lacquaniti, F., & Bosco, G. (2021) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2021.793634 · Cited by 38 · see citing works
Predictive plus online visual information optimizes temporal precision in interception.
de la Malla, C., & López‐Moliner, J. (2015) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000075 · Cited by 34 · see citing works
Itoh, Y., Orlosky, J., Kiyokawa, K., & Klinker, G. (2016) · Augmented Human International Conference · doi:10.1145/2875194.2875227 · Cited by 33 · see citing works
Visual strategies underpinning the development of visual–motor expertise when hitting a ball.
Sarpeshkar, V., Abernethy, B., & Mann, D. L. (2017) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000465 · Cited by 33 · see citing works
Attentional selection in visual perception, memory and action: a quest for cross-domain integration
Schneider, W. X., Einhäuser, W., & Horstmann, G. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0053 · Cited by 31 · see citing works
Liu, X., Jiang, W., Su, H., Qi, W., & Ge, S. S. (2022) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2022.3210592 · Cited by 28 · see citing works
Intercepting a moving target: On-line or model-based control?
Zhao, H., & Warren, W. H. (2017) · Journal of Vision · doi:10.1167/17.5.12 · Cited by 28 · see citing works
Zhong, S.-H., Ma, Z., Wilson, C., Liu, Y., & Flombaum, J. I. (2014) · Journal of Vision · doi:10.1167/14.12.12 · Cited by 26 · see citing works
Harris, D., Arthur, T., Vine, S. J., Liu, J., Rahman, H. R. A., Han, F., & Wilson, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-26544-w · Cited by 27 · see citing works
Testing predictive coding theories of autism spectrum disorder using models of active inference
Arthur, T., Vine, S., Buckingham, G., Brosnan, M., Wilson, M., & Harris, D. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011473 · Cited by 21 · see citing works
“The exact spatial location of this fixation is known to be sensitive to prior beliefs about ball bounciness, as it is shifted to a higher location when higher bounces are expected [65].”
BackgroundArthur, T., & Harris, D. (2021) · Cortex · doi:10.1016/j.cortex.2021.09.017 · Cited by 23 · see citing works
The visual control of interceptive steering: How do people steer a car to intercept a moving target?
Zhao, H., Straub, D., & Rothkopf, C. A. (2019) · Journal of Vision · doi:10.1167/19.14.11 · Cited by 22 · see citing works
Investigating how Explicit Contextual Cues Affect Predictive Sensorimotor Control in Autistic Adults
Arthur, T., Brosnan, M., Harris, D., Buckingham, G., Wilson, M., Williams, G., & Vine, S. (2023) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-022-05718-5 · Cited by 20 · see citing works
Review: Head and Eye Movements and Gaze Tracking in Baseball Batting
Toole, A. J., & Fogt, N. (2021) · Optometry and Vision Science · doi:10.1097/opx.0000000000001721 · Cited by 20 · see citing works
Visuo-motor attention during object interaction in children with developmental coordination disorder
Arthur, T., Harris, D., Allen, K., Naylor, C. E., Wood, G., Vine, S., Wilson, M., Tsaneva-Atanasova, K. T., & Buckingham, G. (2021) · Cortex · doi:10.1016/j.cortex.2021.02.013 · Cited by 17 · see citing works
Eye movements reflect adaptive predictions and predictive precision.
Bakst, L., & McGuire, J. T. (2020) · Journal of Experimental Psychology General · doi:10.1037/xge0000977 · Cited by 21 · see citing works
Movements of the eyes and hands are coordinated by a common predictive strategy
Binaee, K., & Diaz, G. J. (2019) · Journal of Vision · doi:10.1167/19.12.3 · Cited by 15 · see citing works
Self-citationHarris, D., Arthur, T., Vine, S. J., Rahman, H. R. A., Han, F., Liu, J., & Wilson, M. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1182269 · Cited by 15 · see citing works
Torre, A. C., Díaz-Pulido, B., & Asúnsolo, Á. (2016) · Pain Medicine · doi:10.1093/pm/pnw292 · Cited by 17 · see citing works
Table tennis players use superior saccadic eye movements to track moving visual targets
Nakazato, R., Aoyama, C., Komiyama, T., Himo, R., & Shimegi, S. (2024) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2024.1289800 · Cited by 13 · see citing works
Harris, D., Vine, S. J., Wilson, M., & Arthur, T. (2023) · Computational Brain & Behavior · doi:10.1007/s42113-023-00190-5 · Cited by 12 · see citing works
Arthur, T., Vine, S. J., Wilson, M., & Harris, D. (2024) · Journal of Vision · doi:10.1167/jov.24.6.4 · Cited by 12 · see citing works
Teixeira, N. A. D. S. (2016) · Experimental Brain Research · doi:10.1007/s00221-016-4654-0 · Cited by 12 · see citing works
Mooshagian, E., Wang, C., Ferdoash, A., & Snyder, L. H. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00234.2014 · Cited by 10 · see citing works
Accumulating visual information for action
Brenner, E., & Smeets, J. B. J. (2017) · Progress in brain research · doi:10.1016/bs.pbr.2017.07.007 · Cited by 10 · see citing works
Embodied Attention: Integrating the Body and Senses to Act in the World
Reed, C. L., & Hartley, A. A. (2021) · Springer eBooks · doi:10.1007/978-3-030-78471-3_12 · Cited by 7 · see citing works
Perception-Motion Coupling in Active Telepresence: Human Behavior and Teleoperation Interface Design
Lin, T.-C., Krishnan, A. U., & Li, Z. (2022) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3571599 · Cited by 6 · see citing works
Confidence in predicted position error explains saccadic decisions during pursuit
Coutinho, J., Lefèvre, P., & Blohm, G. (2020) · Journal of Neurophysiology · doi:10.1152/jn.00492.2019 · Cited by 6 · see citing works
Hidden State Inference or Continuous Belief Updating during a Dynamic Visuomotor Skill
Harris, D. J., & Arthur, T. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.1285-25.2025 · Cited by 4 · see citing works
Harris, D., Arthur, T., Wilson, M., Gallais, B. L., Parsons, T. D., Dill, A., & Vine, S. (2025) · Biological Cybernetics · doi:10.1007/s00422-025-01006-4 · Cited by 5 · see citing works
Harris, D., Vine, S. J., Wilson, M., & Arthur, T. (2022) · doi:10.31234/osf.io/83t9q · Cited by 5 · see citing works
Target capture strategy selection in a simulated marksmanship task
Steinberg, N. J., Brown, A. A., & Schettino, L. F. (2019) · Scientific Reports · doi:10.1038/s41598-019-50551-z · Cited by 4 · see citing works
Parallel learning processes of a visuomotor adaptation task in a changing environment
Mariman, J. J., Burgos, P. I., & Maldonado, P. (2018) · European Journal of Neuroscience · doi:10.1111/ejn.14258 · Cited by 4 · see citing works
A neural active inference model of perceptual-motor learning
Yang, Z., Diaz, G. J., Fajen, B. R., Bailey, R., & Ororbia, A. G. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1099593 · Cited by 4 · see citing works
Self-citationAging leads to predictive gaze allocation during interception
Gerharz, L., & Voudouris, D. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00029.2025 · Cited by 4 · see citing works
New Immersive Media to Broaden Attention and Awareness
Langford, T., Burleigh, A., Ruta, N., & Pepperell, R. (2018) · Electronic workshops in computing · doi:10.14236/ewic/eva2018.63 · Cited by 3 · see citing works
How People Use Active Telepresence Cameras in Tele-manipulation
Lin, T.-C., Krishnan, A. U., & Li, Z. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561243 · Cited by 3 · see citing works
Motion-in-depth effects on interceptive timing errors in an immersive environment
López‐Moliner, J., & de la Malla, C. (2021) · Scientific Reports · doi:10.1038/s41598-021-01397-x · Cited by 3 · see citing works
Putra, P. U., & Kano, F. (2024) · ACM Symposium on Eye Tracking Research and Applications (ETRA) · doi:10.1145/3649902.3653007 · Cited by 2 · see citing works
Monache, S. D., Nastasi, P., Paolocci, G., Scalici, F., Ingrosso, R., Lacquaniti, F., Indovina, I., & Bosco, G. (2026) · PLoS ONE · doi:10.1371/journal.pone.0328432 · Cited by 1 · see citing works
Research on visual search strategies during apparatus throw-and-catch in group rhythmic gymnastics
Zhou, C., Cai, Y., Li, K., Zhang, X., & Tang, C. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1700617 · Cited by 1 · see citing works
Binaee, K., Starynska, A., Pelz, J. B., Kanan, C., & Diaz, G. J. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1805.05946 · Cited by 1 · see citing works
Self-citationPredictive gaze orienting during navigation in virtual realityPreprint
Kondyli, V., & Leszczyński, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.24.678200 · Cited by 1 · see citing works
Gaze-Related Activity in Primate Frontal Cortex Predicts and Mitigates Spatial UncertaintyPreprint
Bharmauria, V., Schütz, A., Khoozani, P. A., Yan, X., Wang, H., Bremmer, F., & Crawford, J. D. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.20.449147
Motion-in-depth effects on interceptive timing errors in an immersive enviornmentPreprint
López‐Moliner, J., & de la Malla, C. (2021) · Research Square · doi:10.21203/rs.3.rs-738211/v1
Harris, D., Arthur, T., Wilson, M., Gallais, B. L., Parsons, T. D., Dill, A., & Vine, S. J. (2023) · doi:10.31234/osf.io/654h3
When, where, and for how long: What drives gaze behavior during goal-directed motor action?
Marigold, D. S. (2026) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2026.106740
- Authors
- Diaz, G., Cooper, J., & Hayhoe, M.
- Affiliations
- The University of Texas at Austin (US)
- Venue
- Philosophical Transactions of the Royal Society B Biological Sciences
- Publisher
- The Royal Society
- Published
- 2013-10-19
- Volume
- 368
- Issue
- 1628
- Pages
- 20130064
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- PMC
- PMC3758207
- OpenAlex
- W2168929861
- Cited by
- 57
- References
- 58
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 3 · 2023: 6 · 2022: 5 · 2021: 10 · 2020: 2 · 2019: 4 · 2018: 3 · 2017: 5 · 2016: 4 · 2015: 4 · 2014: 3 · 2013: 1
- FWCI
- 2.19
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Eye Institute (EY 019174, R01EY019174, EY05729)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- predictive eye movements, smooth pursuit eye movements, saccades, visual attention allocation, ball interception, trajectory estimation, fixation duration
- MeSH terms
- Analysis of Variance, Attention, Eye Movements, Female, Fixation, Ocular, Humans, Male, Memory, Motion Perception, Photic Stimulation, Psychomotor Performance, Time Factors, Anticipation, Psychological
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