IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0002070.html
   My bibliography  Save this article

Saccadic Eye Movements Minimize the Consequences of Motor Noise

Author

Listed:
  • Robert J van Beers

Abstract

The durations and trajectories of our saccadic eye movements are remarkably stereotyped. We have no voluntary control over these properties but they are determined by the movement amplitude and, to a smaller extent, also by the movement direction and initial eye orientation. Here we show that the stereotyped durations and trajectories are optimal for minimizing the variability in saccade endpoints that is caused by motor noise. The optimal duration can be understood from the nature of the motor noise, which is a combination of signal-dependent noise favoring long durations, and constant noise, which prefers short durations. The different durations of horizontal vs. vertical and of centripetal vs. centrifugal saccades, and the somewhat surprising properties of saccades in oblique directions are also accurately predicted by the principle of minimizing movement variability. The simple and sensible principle of minimizing the consequences of motor noise thus explains the full stereotypy of saccadic eye movements. This suggests that saccades are so stereotyped because that is the best strategy to minimize movement errors for an open-loop motor system.

Suggested Citation

  • Robert J van Beers, 2008. "Saccadic Eye Movements Minimize the Consequences of Motor Noise," PLOS ONE, Public Library of Science, vol. 3(4), pages 1-8, April.
  • Handle: RePEc:plo:pone00:0002070
    DOI: 10.1371/journal.pone.0002070
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0002070
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0002070&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0002070?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Christopher M. Harris & Daniel M. Wolpert, 1998. "Signal-dependent noise determines motor planning," Nature, Nature, vol. 394(6695), pages 780-784, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. H H L M Goossens & A J van Opstal, 2012. "Optimal Control of Saccades by Spatial-Temporal Activity Patterns in the Monkey Superior Colliculus," PLOS Computational Biology, Public Library of Science, vol. 8(5), pages 1-18, May.
    2. Robert J van Beers & Yor van der Meer & Richard M Veerman, 2013. "What Autocorrelation Tells Us about Motor Variability: Insights from Dart Throwing," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-8, May.
    3. Bastien Berret & Adrien Conessa & Nicolas Schweighofer & Etienne Burdet, 2021. "Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision," PLOS Computational Biology, Public Library of Science, vol. 17(6), pages 1-24, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shogo Yonekura & Yasuo Kuniyoshi, 2017. "Bodily motion fluctuation improves reaching success rate in a neurophysical agent via geometric-stochastic resonance," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-16, December.
    2. Shih-Wei Wu & Maria F Dal Martello & Laurence T Maloney, 2009. "Sub-Optimal Allocation of Time in Sequential Movements," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-13, December.
    3. Max Berniker & Megan K O’Brien & Konrad P Kording & Alaa A Ahmed, 2013. "An Examination of the Generalizability of Motor Costs," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-11, January.
    4. Lionel Rigoux & Emmanuel Guigon, 2012. "A Model of Reward- and Effort-Based Optimal Decision Making and Motor Control," PLOS Computational Biology, Public Library of Science, vol. 8(10), pages 1-13, October.
    5. Yanhao Ren & Qiang Luo & Wenlian Lu, 2023. "Synchronization Analysis of Linearly Coupled Systems with Signal-Dependent Noises," Mathematics, MDPI, vol. 11(10), pages 1-15, May.
    6. Christopher J Hasson & Zhaoran Zhang & Masaki O Abe & Dagmar Sternad, 2016. "Neuromotor Noise Is Malleable by Amplifying Perceived Errors," PLOS Computational Biology, Public Library of Science, vol. 12(8), pages 1-28, August.
    7. Seth W. Egger & Stephen G. Lisberger, 2022. "Neural structure of a sensory decoder for motor control," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    8. Ashesh Vasalya & Gowrishankar Ganesh & Abderrahmane Kheddar, 2018. "More than just co-workers: Presence of humanoid robot co-worker influences human performance," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-19, November.
    9. Josh Merel & Donald M Pianto & John P Cunningham & Liam Paninski, 2015. "Encoder-Decoder Optimization for Brain-Computer Interfaces," PLOS Computational Biology, Public Library of Science, vol. 11(6), pages 1-25, June.
    10. Maxime Teremetz & Isabelle Amado & Narjes Bendjemaa & Marie-Odile Krebs & Pavel G Lindberg & Marc A Maier, 2014. "Deficient Grip Force Control in Schizophrenia: Behavioral and Modeling Evidence for Altered Motor Inhibition and Motor Noise," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-11, November.
    11. Frederic Danion & Raoul M Bongers & Reinoud J Bootsma, 2014. "The Trade-Off between Spatial and Temporal Variabilities in Reciprocal Upper-Limb Aiming Movements of Different Durations," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-10, May.
    12. Wei Zhang & Sasha Reschechtko & Barry Hahn & Cynthia Benson & Elias Youssef, 2019. "Force-stabilizing synergies can be retained by coordinating sensory-blocked and sensory-intact digits," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-17, December.
    13. Julian J Tramper & Bart van den Broek & Wim Wiegerinck & Hilbert J Kappen & Stan Gielen, 2012. "Time-Integrated Position Error Accounts for Sensorimotor Behavior in Time-Constrained Tasks," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-10, March.
    14. Konrad P Körding & Izumi Fukunaga & Ian S Howard & James N Ingram & Daniel M Wolpert, 2004. "A Neuroeconomics Approach to Inferring Utility Functions in Sensorimotor Control," PLOS Biology, Public Library of Science, vol. 2(10), pages 1-1, September.
    15. Pierre Morel & Philipp Ulbrich & Alexander Gail, 2017. "What makes a reach movement effortful? Physical effort discounting supports common minimization principles in decision making and motor control," PLOS Biology, Public Library of Science, vol. 15(6), pages 1-23, June.
    16. Matthew A Slayton & Juan L Romero-Sosa & Katrina Shore & Dean V Buonomano & Indre V Viskontas, 2020. "Musical expertise generalizes to superior temporal scaling in a Morse code tapping task," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-9, January.
    17. Christopher K Rhea & Tobin A Silver & S Lee Hong & Joong Hyun Ryu & Breanna E Studenka & Charmayne M L Hughes & Jeffrey M Haddad, 2011. "Noise and Complexity in Human Postural Control: Interpreting the Different Estimations of Entropy," PLOS ONE, Public Library of Science, vol. 6(3), pages 1-9, March.
    18. Vassilios N Christopoulos & Paul R Schrater, 2009. "Grasping Objects with Environmentally Induced Position Uncertainty," PLOS Computational Biology, Public Library of Science, vol. 5(10), pages 1-11, October.
    19. Bastien Berret & Frédéric Jean, 2020. "Stochastic optimal open-loop control as a theory of force and impedance planning via muscle co-contraction," PLOS Computational Biology, Public Library of Science, vol. 16(2), pages 1-28, February.
    20. H H L M Goossens & A J van Opstal, 2012. "Optimal Control of Saccades by Spatial-Temporal Activity Patterns in the Monkey Superior Colliculus," PLOS Computational Biology, Public Library of Science, vol. 8(5), pages 1-18, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0002070. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.