Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP

The understanding of the subjective experience of a visually stable world despite the occurrence of an observer's eye movements has been the focus of extensive research for over 20 years. These studies have revealed fundamental mechanisms such as anticipatory receptive field shifts and the sacc...

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Main Authors: Arnold eZiesche, Fred H Hamker
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-03-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00025/full
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spelling doaj-328f5588bba445b6b1943d3007cbf0862020-11-24T23:15:26ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882014-03-01810.3389/fncom.2014.0002571508Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIPArnold eZiesche0Fred H Hamker1Chemnitz University of TechnologyChemnitz University of TechnologyThe understanding of the subjective experience of a visually stable world despite the occurrence of an observer's eye movements has been the focus of extensive research for over 20 years. These studies have revealed fundamental mechanisms such as anticipatory receptive field shifts and the saccadic suppression of stimulus displacements, yet there currently exists no single explanatory framework for these observations. We show that a previously presented neuro-computational model of peri-saccadic mislocalization accounts for the phenomenon of predictive remapping and for the observation of saccadic suppression of displacement (SSD). This converging evidence allows us to identify the potential ingredients of perceptual stability that generalize beyond different data sets in a formal physiology-based model. In particular we propose that predictive remapping stabilizes the visual world across saccades by introducing a feedback loop and, as an emergent result, small displacements of stimuli are not noticed by the visual system. The model provides a link from neural dynamics, to neural mechanism and finally to behavior, and thus offers a testable comprehensive framework of visual stability.http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00025/fullSpace Perceptioncomputational modelcorollary dischargepredictive remappingEye Position SignalSaccadic Suppression of Displacement
collection DOAJ
language English
format Article
sources DOAJ
author Arnold eZiesche
Fred H Hamker
spellingShingle Arnold eZiesche
Fred H Hamker
Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP
Frontiers in Computational Neuroscience
Space Perception
computational model
corollary discharge
predictive remapping
Eye Position Signal
Saccadic Suppression of Displacement
author_facet Arnold eZiesche
Fred H Hamker
author_sort Arnold eZiesche
title Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP
title_short Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP
title_full Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP
title_fullStr Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP
title_full_unstemmed Brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area LIP
title_sort brain circuits underlying visual stability across eye movements - converging evidence for a neuro-computational model of area lip
publisher Frontiers Media S.A.
series Frontiers in Computational Neuroscience
issn 1662-5188
publishDate 2014-03-01
description The understanding of the subjective experience of a visually stable world despite the occurrence of an observer's eye movements has been the focus of extensive research for over 20 years. These studies have revealed fundamental mechanisms such as anticipatory receptive field shifts and the saccadic suppression of stimulus displacements, yet there currently exists no single explanatory framework for these observations. We show that a previously presented neuro-computational model of peri-saccadic mislocalization accounts for the phenomenon of predictive remapping and for the observation of saccadic suppression of displacement (SSD). This converging evidence allows us to identify the potential ingredients of perceptual stability that generalize beyond different data sets in a formal physiology-based model. In particular we propose that predictive remapping stabilizes the visual world across saccades by introducing a feedback loop and, as an emergent result, small displacements of stimuli are not noticed by the visual system. The model provides a link from neural dynamics, to neural mechanism and finally to behavior, and thus offers a testable comprehensive framework of visual stability.
topic Space Perception
computational model
corollary discharge
predictive remapping
Eye Position Signal
Saccadic Suppression of Displacement
url http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00025/full
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AT fredhhamker braincircuitsunderlyingvisualstabilityacrosseyemovementsconvergingevidenceforaneurocomputationalmodelofarealip
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