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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 (RF) 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.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:20080
Date January 2014
CreatorsZiesche, Arnold, Hamker, Fred H.
ContributorsTechnische Universität Chemnitz
PublisherFrontiers
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:article, info:eu-repo/semantics/article, doc-type:Text
SourceZiesche A and Hamker FH (2014) Brain circuits underlying visual stability across eye movements—converging evidence for a neuro-computational model of area LIP. Front. Comput. Neurosci. 8:25. doi: 10.3389/fncom.2014.00025
Rightsinfo:eu-repo/semantics/openAccess
Relation10.3389/fncom.2014.00025, 1662-5188

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