Literature DB >> 23884554

Stimulus-driven saccades are characterized by an invariant undershooting bias: no evidence for a range effect.

Caitlin Gillen1, Jeffrey Weiler, Matthew Heath.   

Abstract

Saccade endpoints are most frequently characterized by an undershooting bias. Notably, however, some evidence suggests that saccades can be made to systematically under- or overshoot a target based on the magnitude of the eccentricities within a given block of trials (i.e., the oculomotor range effect hypothesis). To address that issue, participants completed stimulus-driven saccades in separate blocks of trials (i.e., proximal vs. distal) that entailed an equal number of targets but differed with respect to the magnitude of their eccentricities. In the proximal block, target eccentricities were 3.0°, 5.5°, 8.0°, 10.5° and 13.0°, whereas in the distal block target eccentricities were 10.5°, 13.0°, 15.5°, 18.0° and 20.5°. If the range effect represents a tenable hypothesis, then the magnitude of target eccentricities within each block should selectively influence saccade endpoint bias. More specifically, the eccentricities common to the proximal and distal blocks (i.e., 10.5° and 13.0°) should elicit a systematic under- and overshooting bias, respectively. Results for the proximal and distal blocks showed a reliable undershooting bias across target eccentricities, and a direct comparison of the common eccentricities indicated that the undershooting bias was not modulated between blocks. Moreover, our results show that the presence of online target vision did not influence the undershooting bias. Thus, the present findings provide no support for an oculomotor range effect; rather, results evince the mediation of saccades via a control strategy that minimizes movement time and/or the energy requirements of the response.

Entities:  

Mesh:

Year:  2013        PMID: 23884554     DOI: 10.1007/s00221-013-3640-z

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


  36 in total

1.  Ocular perturbations and retinal/extraretinal information: the coordination of saccadic and manual movements.

Authors:  G Binsted; D Elliott
Journal:  Exp Brain Res       Date:  1999-07       Impact factor: 1.972

2.  Optimal feedback control as a theory of motor coordination.

Authors:  Emanuel Todorov; Michael I Jordan
Journal:  Nat Neurosci       Date:  2002-11       Impact factor: 24.884

3.  On-line modification of saccadic eye movements by retinal signals.

Authors:  Valérie Gaveau; Olivier Martin; Claude Prablanc; Denis Pélisson; Christian Urquizar; Michel Desmurget
Journal:  Neuroreport       Date:  2003-05-06       Impact factor: 1.837

4.  INFORMATION CAPACITY OF DISCRETE MOTOR RESPONSES.

Authors:  P M FITTS; J R PETERSON
Journal:  J Exp Psychol       Date:  1964-02

5.  Learning to optimize speed, accuracy, and energy expenditure: a framework for understanding speed-accuracy relations in goal-directed aiming.

Authors:  Digby Elliott; Steven Hansen; Jocelyn Mendoza; Luc Tremblay
Journal:  J Mot Behav       Date:  2004-09       Impact factor: 1.328

6.  Saccadic trajectories receive online correction: evidence for a feedback-based system of oculomotor control.

Authors:  Greg L West; Timothy N Welsh; Jay Pratt
Journal:  J Mot Behav       Date:  2009-03       Impact factor: 1.328

7.  Online corrections can produce illusory bias during closed-loop pointing.

Authors:  C Ehresman; D Saucier; M Heath; G Binsted
Journal:  Exp Brain Res       Date:  2008-04-22       Impact factor: 1.972

8.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

9.  Saccadic undershoot is not inevitable: saccades can be accurate.

Authors:  Z Kapoula; D A Robinson
Journal:  Vision Res       Date:  1986       Impact factor: 1.886

10.  The prior-antisaccade effect influences the planning and online control of prosaccades.

Authors:  Jeffrey Weiler; Matthew Heath
Journal:  Exp Brain Res       Date:  2011-11-27       Impact factor: 1.972

View more
  7 in total

1.  Adaptation of naturally paced saccades.

Authors:  Michael J Gray; Annabelle Blangero; James P Herman; Josh Wallman; Mark R Harwood
Journal:  J Neurophysiol       Date:  2014-03-12       Impact factor: 2.714

2.  Perceptual averaging governs antisaccade endpoint bias.

Authors:  Caitlin Gillen; Matthew Heath
Journal:  Exp Brain Res       Date:  2014-06-17       Impact factor: 1.972

3.  No exception from Bayes' rule: The presence and absence of the range effect for saccades explained.

Authors:  André Krügel; Lars Rothkegel; Ralf Engbert
Journal:  J Vis       Date:  2020-07-01       Impact factor: 2.240

4.  Gain control of saccadic eye movements is probabilistic.

Authors:  Matteo Lisi; Joshua A Solomon; Michael J Morgan
Journal:  Proc Natl Acad Sci U S A       Date:  2019-07-23       Impact factor: 11.205

5.  No Evidence for a Saccadic Range Effect for Visually Guided and Memory-Guided Saccades in Simple Saccade-Targeting Tasks.

Authors:  Antje Nuthmann; Françoise Vitu; Ralf Engbert; Reinhold Kliegl
Journal:  PLoS One       Date:  2016-09-22       Impact factor: 3.240

6.  Adaptation to size affects saccades with long but not short latencies.

Authors:  Eckart Zimmermann; Maria Concetta Morrone; David Burr
Journal:  J Vis       Date:  2016-05-01       Impact factor: 2.240

7.  Multi-step planning of eye movements in visual search.

Authors:  David Hoppe; Constantin A Rothkopf
Journal:  Sci Rep       Date:  2019-01-15       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.