Literature DB >> 14534279

Saccades exhibit abrupt transition between reactive and predictive; predictive saccade sequences have long-term correlations.

Mark Shelhamer1, Wilsaan M Joiner.   

Abstract

To compensate for neural delays, organisms require predictive motor control. We investigated the transition between reaction and prediction in saccades (rapid eye movements) to periodically paced targets. Tracking at low frequencies (0.2-0.3 Hz) is reactive (eyes lag target) and at high frequencies (0.9-1.0 Hz) is predictive (eyes anticipate target); there is an abrupt rather than smooth transition between the two modes (a "phase transition," as found in bistable physical systems). These behaviors represent stable modes of the oculomotor control system, with attendant rapid switching between the neural pathways underlying the different modes. Furthermore, predictive saccades exhibit long-term correlations (slow decay of the autocorrelation function, manifest as a 1/f alpha spectrum). This indicates that predictive trials are not independent. The findings have implications for the understanding of predictive motor control: predictive performance during a given trial is influenced by a feedback process that takes into account the latency of previous trials.

Mesh:

Year:  2003        PMID: 14534279     DOI: 10.1152/jn.00478.2003

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  37 in total

1.  Trade-off between frequency and precision during stepping movements: Kinematic and BOLD brain activation patterns.

Authors:  Martin Martínez; Miguel Valencia; Marta Vidorreta; Elkin O Luis; Gabriel Castellanos; Federico Villagra; Maria A Fernández-Seara; Maria A Pastor
Journal:  Hum Brain Mapp       Date:  2016-02-09       Impact factor: 5.038

2.  Cognitive influences on predictive saccadic tracking.

Authors:  E Isotalo; A G Lasker; D S Zee
Journal:  Exp Brain Res       Date:  2005-07-16       Impact factor: 1.972

3.  An internal clock generates repetitive predictive saccades.

Authors:  Wilsaan M Joiner; Mark Shelhamer
Journal:  Exp Brain Res       Date:  2006-09-09       Impact factor: 1.972

4.  An internal clock for predictive saccades is established identically by auditory or visual information.

Authors:  Wilsaan M Joiner; Jung-Eun Lee; Adrian Lasker; Mark Shelhamer
Journal:  Vision Res       Date:  2007-04-18       Impact factor: 1.886

5.  Pursuit and saccadic tracking exhibit a similar dependence on movement preparation time.

Authors:  Wilsaan M Joiner; Mark Shelhamer
Journal:  Exp Brain Res       Date:  2006-03-21       Impact factor: 1.972

6.  Behavioral analysis of predictive saccade tracking as studied by countermanding.

Authors:  Wilsaan M Joiner; Jung-Eun Lee; Mark Shelhamer
Journal:  Exp Brain Res       Date:  2007-05-03       Impact factor: 1.972

7.  Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep.

Authors:  Enzo Tagliazucchi; Frederic von Wegner; Astrid Morzelewski; Verena Brodbeck; Kolja Jahnke; Helmut Laufs
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-03       Impact factor: 11.205

8.  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

9.  The influence of motor training on human express saccade production.

Authors:  Raquel Bibi; Jay A Edelman
Journal:  J Neurophysiol       Date:  2009-09-23       Impact factor: 2.714

10.  A model of time estimation and error feedback in predictive timing behavior.

Authors:  Wilsaan M Joiner; Mark Shelhamer
Journal:  J Comput Neurosci       Date:  2008-06-19       Impact factor: 1.621

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