Literature DB >> 22183755

Predictive eye movements in natural vision.

Mary M Hayhoe1, Travis McKinney, Kelly Chajka, Jeff B Pelz.   

Abstract

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.

Entities:  

Mesh:

Year:  2011        PMID: 22183755      PMCID: PMC3328199          DOI: 10.1007/s00221-011-2979-2

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  48 in total

Review 1.  Internal models for motor control and trajectory planning.

Authors:  M Kawato
Journal:  Curr Opin Neurobiol       Date:  1999-12       Impact factor: 6.627

2.  The cerebellum is involved in predicting the sensory consequences of action.

Authors:  S J Blakemore; C D Frith; D M Wolpert
Journal:  Neuroreport       Date:  2001-07-03       Impact factor: 1.837

3.  Internal models of target motion: expected dynamics overrides measured kinematics in timing manual interceptions.

Authors:  Myrka Zago; Gianfranco Bosco; Vincenzo Maffei; Marco Iosa; Yuri P Ivanenko; Francesco Lacquaniti
Journal:  J Neurophysiol       Date:  2003-11-19       Impact factor: 2.714

4.  Bayesian integration in sensorimotor learning.

Authors:  Konrad P Körding; Daniel M Wolpert
Journal:  Nature       Date:  2004-01-15       Impact factor: 49.962

5.  Effects of learning on smooth pursuit during transient disappearance of a visual target.

Authors:  Laurent Madelain; Richard J Krauzlis
Journal:  J Neurophysiol       Date:  2003-08       Impact factor: 2.714

6.  Trial-by-trial updating of the gain in preparation for smooth pursuit eye movement based on past experience in humans.

Authors:  Hiromitsu Tabata; Kenichiro Miura; Kenji Kawano
Journal:  J Neurophysiol       Date:  2007-12-12       Impact factor: 2.714

Review 7.  Internal models and prediction of visual gravitational motion.

Authors:  Myrka Zago; Joseph McIntyre; Patrice Senot; Francesco Lacquaniti
Journal:  Vision Res       Date:  2008-05-21       Impact factor: 1.886

8.  Internal models in the cerebellum.

Authors:  D M Wolpert; R C Miall; M Kawato
Journal:  Trends Cogn Sci       Date:  1998-09-01       Impact factor: 20.229

9.  Effects of visual uncertainty on grasping movements.

Authors:  Erik J Schlicht; Paul R Schrater
Journal:  Exp Brain Res       Date:  2007-05-15       Impact factor: 1.972

10.  Humans use continuous visual feedback from the hand to control fast reaching movements.

Authors:  Jeffrey A Saunders; David C Knill
Journal:  Exp Brain Res       Date:  2003-08-06       Impact factor: 1.972

View more
  42 in total

1.  Real-time recording and classification of eye movements in an immersive virtual environment.

Authors:  Gabriel Diaz; Joseph Cooper; Dmitry Kit; Mary Hayhoe
Journal:  J Vis       Date:  2013-10-10       Impact factor: 2.240

2.  Memory and prediction in natural gaze control.

Authors:  Gabriel Diaz; Joseph Cooper; Mary Hayhoe
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-09-09       Impact factor: 6.237

3.  Eye movements and manual interception of ballistic trajectories: effects of law of motion perturbations and occlusions.

Authors:  Sergio Delle Monache; Francesco Lacquaniti; Gianfranco Bosco
Journal:  Exp Brain Res       Date:  2014-10-14       Impact factor: 1.972

4.  How athletes hit a fastball.

Authors:  Liam Drew
Journal:  Nature       Date:  2021-04       Impact factor: 49.962

5.  Saccades to future ball location reveal memory-based prediction in a virtual-reality interception task.

Authors:  Gabriel Diaz; Joseph Cooper; Constantin Rothkopf; Mary Hayhoe
Journal:  J Vis       Date:  2013-01-16       Impact factor: 2.240

6.  Recentering bias for temporal saccades only: Evidence from binocular recordings of eye movements.

Authors:  Jérôme Tagu; Karine Doré-Mazars; Judith Vergne; Christelle Lemoine-Lardennois; Dorine Vergilino-Perez
Journal:  J Vis       Date:  2018-01-01       Impact factor: 2.240

Review 7.  On-line and model-based approaches to the visual control of action.

Authors:  Huaiyong Zhao; William H Warren
Journal:  Vision Res       Date:  2014-10-20       Impact factor: 1.886

8.  Attention, learning, and the value of information.

Authors:  Jacqueline Gottlieb
Journal:  Neuron       Date:  2012-10-17       Impact factor: 17.173

9.  Eye movements reflect adaptive predictions and predictive precision.

Authors:  Leah Bakst; Joseph T McGuire
Journal:  J Exp Psychol Gen       Date:  2020-10-12

10.  Gaze During Locomotion in Virtual Reality and the Real World.

Authors:  Jan Drewes; Sascha Feder; Wolfgang Einhäuser
Journal:  Front Neurosci       Date:  2021-05-24       Impact factor: 4.677

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.