Literature DB >> 10704510

Curvature of visual space under vertical eye rotation: implications for spatial vision and visuomotor control.

J D Crawford1, D Y Henriques, T Vilis.   

Abstract

Most models of spatial vision and visuomotor control reconstruct visual space by adding a vector representing the site of retinal stimulation to another vector representing gaze angle. However, this scheme fails to account for the curvatures in retinal projection produced by rotatory displacements in eye orientation. In particular, our simulations demonstrate that even simple vertical eye rotation changes the curvature of horizontal retinal projections with respect to eye-fixed retinal landmarks. We confirmed the existence of such curvatures by measuring target direction in eye coordinates in which the retinotopic representation of horizontally displaced targets curved obliquely as a function of vertical eye orientation. We then asked subjects to point (open loop) toward briefly flashed targets at various points along these lines of curvature. The vector-addition model predicted errors in pointing trajectory as a function of eye orientation. In contrast, with only minor exceptions, actual subjects showed no such errors, showing a complete neural compensation for the eye position-dependent geometry of retinal curvatures. Rather than bolstering the traditional model with additional corrective mechanisms for these nonlinear effects, we suggest that the complete geometry of retinal projection can be decoded through a single multiplicative comparison with three-dimensional eye orientation. Moreover, because the visuomotor transformation for pointing involves specific parietal and frontal cortical processes, our experiment implicates specific regions of cortex in such nonlinear transformations.

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Year:  2000        PMID: 10704510      PMCID: PMC6772482     

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


  43 in total

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Authors:  W Haustein; H Mittelstaedt
Journal:  Vision Res       Date:  1990       Impact factor: 1.886

2.  Pointing errors reflect biases in the perception of the initial hand position.

Authors:  P Vindras; M Desmurget; C Prablanc; P Viviani
Journal:  J Neurophysiol       Date:  1998-06       Impact factor: 2.714

3.  The effect of ocular torsional position on perception of the roll-tilt of visual stimuli.

Authors:  S W Wade; I S Curthoys
Journal:  Vision Res       Date:  1997-04       Impact factor: 1.886

4.  Coding of intention in the posterior parietal cortex.

Authors:  L H Snyder; A P Batista; R A Andersen
Journal:  Nature       Date:  1997-03-13       Impact factor: 49.962

5.  Neuronal activity in the ventral part of premotor cortex during target-reach movement is modulated by direction of gaze.

Authors:  H Mushiake; Y Tanatsugu; J Tanji
Journal:  J Neurophysiol       Date:  1997-07       Impact factor: 2.714

6.  The role of ocular muscle proprioception in visual localization of targets.

Authors:  G M Gauthier; D Nommay; J L Vercher
Journal:  Science       Date:  1990-07-06       Impact factor: 47.728

7.  Learning a visuomotor transformation in a local area of work space produces directional biases in other areas.

Authors:  M F Ghilardi; J Gordon; C Ghez
Journal:  J Neurophysiol       Date:  1995-06       Impact factor: 2.714

8.  Perceptual distortion contributes to the curvature of human reaching movements.

Authors:  D M Wolpert; Z Ghahramani; M I Jordan
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

9.  Saccades are spatially, not retinocentrically, coded.

Authors:  L E Mays; D L Sparks
Journal:  Science       Date:  1980-06-06       Impact factor: 47.728

10.  On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex.

Authors:  A P Georgopoulos; J F Kalaska; R Caminiti; J T Massey
Journal:  J Neurosci       Date:  1982-11       Impact factor: 6.167

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  4 in total

1.  Self-organizing task modules and explicit coordinate systems in a neural network model for 3-D saccades.

Authors:  M A Smith; J D Crawford
Journal:  J Comput Neurosci       Date:  2001 Mar-Apr       Impact factor: 1.621

2.  Coarticulation in fluent fingerspelling.

Authors:  Thomas E Jerde; John F Soechting; Martha Flanders
Journal:  J Neurosci       Date:  2003-03-15       Impact factor: 6.167

3.  Different damping responses explain vertical endpoint error differences between visual conditions.

Authors:  Jan M Hondzinski; Chelsea M Soebbing; Allyson E French; Sara A Winges
Journal:  Exp Brain Res       Date:  2016-01-28       Impact factor: 1.972

4.  Using a compound gain field to compute a reach plan.

Authors:  Steve W C Chang; Charalampos Papadimitriou; Lawrence H Snyder
Journal:  Neuron       Date:  2009-12-10       Impact factor: 17.173

  4 in total

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