Literature DB >> 16624939

Why does the brain predict sensory consequences of oculomotor commands? Optimal integration of the predicted and the actual sensory feedback.

Siavash Vaziri1, Jörn Diedrichsen, Reza Shadmehr.   

Abstract

When the brain initiates a saccade, it uses a copy of the oculomotor commands to predict the visual consequences: for example, if one fixates a reach target, a peripheral saccade will produce an internal estimate of the new retinal location of the target, a process called remapping. In natural settings, the target likely remains visible after the saccade. So why should the brain predict the sensory consequence of the saccade when after its completion, the image of the target remains visible? We hypothesized that in the post-saccadic period, the brain integrates target position information from two sources: one based on remapping and another based on the peripheral view of the target. The integration of information from these two sources could produce a less variable target estimate than is possible from either source alone. Here, we show that reaching toward targets that were initially foveated and remapped had significantly less variance than reaches relying on peripheral target information. Furthermore, in a more natural setting where both sources of information were available simultaneously, variance of the reaches was further reduced as predicted by integration. This integration occurred in a statistically optimal manner, as demonstrated by the change in integration weights when we manipulated the uncertainty of the post-saccadic target estimate by varying exposure time. Therefore, the brain predicts the sensory consequences of motor commands because it integrates its prediction with the actual sensory information to produce an estimate of sensory space that is better than possible from either source alone.

Mesh:

Year:  2006        PMID: 16624939      PMCID: PMC1473981          DOI: 10.1523/JNEUROSCI.4747-05.2006

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  35 in total

1.  Role of eye, head, and shoulder geometry in the planning of accurate arm movements.

Authors:  D Y P Henriques; J D Crawford
Journal:  J Neurophysiol       Date:  2002-04       Impact factor: 2.714

2.  A pathway in primate brain for internal monitoring of movements.

Authors:  Marc A Sommer; Robert H Wurtz
Journal:  Science       Date:  2002-05-24       Impact factor: 47.728

3.  Failure to detect displacement of the visual world during saccadic eye movements.

Authors:  B Bridgeman; D Hendry; L Stark
Journal:  Vision Res       Date:  1975-06       Impact factor: 1.886

4.  Bayesian integration in sensorimotor learning.

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

5.  The updating of the representation of visual space in parietal cortex by intended eye movements.

Authors:  J R Duhamel; C L Colby; M E Goldberg
Journal:  Science       Date:  1992-01-03       Impact factor: 47.728

6.  Eye movements and the integration of visual memory and visual perception.

Authors:  James R Brockmole; David E Irwin
Journal:  Percept Psychophys       Date:  2005-04

7.  Postsaccadic target blanking prevents saccadic suppression of image displacement.

Authors:  H Deubel; W X Schneider; B Bridgeman
Journal:  Vision Res       Date:  1996-04       Impact factor: 1.886

8.  Contribution of retinal versus extraretinal signals towards visual localization in goal-directed movements.

Authors:  O Bock
Journal:  Exp Brain Res       Date:  1986       Impact factor: 1.972

9.  An internal model for sensorimotor integration.

Authors:  D M Wolpert; Z Ghahramani; M I Jordan
Journal:  Science       Date:  1995-09-29       Impact factor: 47.728

10.  Two cortical systems for reaching in central and peripheral vision.

Authors:  Jérôme Prado; Simon Clavagnier; Hélène Otzenberger; Christian Scheiber; Henry Kennedy; Marie-Thérèse Perenin
Journal:  Neuron       Date:  2005-12-08       Impact factor: 17.173

View more
  46 in total

Review 1.  Are we ready for a natural history of motor learning?

Authors:  Lior Shmuelof; John W Krakauer
Journal:  Neuron       Date:  2011-11-03       Impact factor: 17.173

Review 2.  Principles of sensorimotor learning.

Authors:  Daniel M Wolpert; Jörn Diedrichsen; J Randall Flanagan
Journal:  Nat Rev Neurosci       Date:  2011-10-27       Impact factor: 34.870

3.  Adaptive control of saccades via internal feedback.

Authors:  Haiyin Chen-Harris; Wilsaan M Joiner; Vincent Ethier; David S Zee; Reza Shadmehr
Journal:  J Neurosci       Date:  2008-03-12       Impact factor: 6.167

Review 4.  A computational neuroanatomy for motor control.

Authors:  Reza Shadmehr; John W Krakauer
Journal:  Exp Brain Res       Date:  2008-02-05       Impact factor: 1.972

5.  Manual and oculomotor performance develop contemporaneously but independently during continuous tracking.

Authors:  Eric D Vidoni; Jason S McCarley; Jodi D Edwards; Lara A Boyd
Journal:  Exp Brain Res       Date:  2009-05-13       Impact factor: 1.972

6.  Coordinate transformations for hand-guided saccades.

Authors:  L Ren; J D Crawford
Journal:  Exp Brain Res       Date:  2009-04-30       Impact factor: 1.972

7.  On-line processing of uncertain information in visuomotor control.

Authors:  Jun Izawa; Reza Shadmehr
Journal:  J Neurosci       Date:  2008-10-29       Impact factor: 6.167

Review 8.  Brain circuits for the internal monitoring of movements.

Authors:  Marc A Sommer; Robert H Wurtz
Journal:  Annu Rev Neurosci       Date:  2008       Impact factor: 12.449

Review 9.  The coordination of movement: optimal feedback control and beyond.

Authors:  Jörn Diedrichsen; Reza Shadmehr; Richard B Ivry
Journal:  Trends Cogn Sci       Date:  2009-12-11       Impact factor: 20.229

10.  Near-optimal integration of orientation information across saccades.

Authors:  Elad Ganmor; Michael S Landy; Eero P Simoncelli
Journal:  J Vis       Date:  2015-12-01       Impact factor: 2.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.