Literature DB >> 22481644

A neural mechanism for coordinate transformation predicts pre-saccadic remapping.

Sebastian Schneegans1, Gregor Schöner.   

Abstract

Whenever we shift our gaze, any location information encoded in the retinocentric reference frame that is predominant in the visual system is obliterated. How is spatial memory retained across gaze changes? Two different explanations have been proposed: Retinocentric information may be transformed into a gaze-invariant representation through a mechanism consistent with gain fields observed in parietal cortex, or retinocentric information may be updated in anticipation of the shift expected with every gaze change, a proposal consistent with neural observations in LIP. The explanations were considered incompatible with each other, because retinocentric update is observed before the gaze shift has terminated. Here, we show that a neural dynamic mechanism for coordinate transformation can also account for retinocentric updating. Our model postulates an extended mechanism of reference frame transformation that is based on bidirectional mapping between a retinocentric and a body-centered representation and that enables transforming multiple object locations in parallel. The dynamic coupling between the two reference frames generates a shift of the retinocentric representation for every gaze change. We account for the predictive nature of the observed remapping activity by using the same kind of neural mechanism to generate an internal representation of gaze direction that is predictively updated based on corollary discharge signals. We provide evidence for the model by accounting for a series of behavioral and neural experimental observations.

Entities:  

Mesh:

Year:  2012        PMID: 22481644     DOI: 10.1007/s00422-012-0484-8

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  6 in total

1.  Model-based functional neuroimaging using dynamic neural fields: An integrative cognitive neuroscience approach.

Authors:  Sobanawartiny Wijeakumar; Joseph P Ambrose; John P Spencer; Rodica Curtu
Journal:  J Math Psychol       Date:  2016-12-21       Impact factor: 2.223

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

Authors:  Arnold Ziesche; Fred H Hamker
Journal:  Front Comput Neurosci       Date:  2014-03-11       Impact factor: 2.380

3.  Neural Network Evidence for the Coupling of Presaccadic Visual Remapping to Predictive Eye Position Updating.

Authors:  Hrishikesh M Rao; Juan San Juan; Fred Y Shen; Jennifer E Villa; Kimia S Rafie; Marc A Sommer
Journal:  Front Comput Neurosci       Date:  2016-06-02       Impact factor: 2.380

4.  Developing Dynamic Field Theory Architectures for Embodied Cognitive Systems with cedar.

Authors:  Oliver Lomp; Mathis Richter; Stephan K U Zibner; Gregor Schöner
Journal:  Front Neurorobot       Date:  2016-11-02       Impact factor: 2.650

5.  Motor-related signals support localization invariance for stable visual perception.

Authors:  Andrea Benucci
Journal:  PLoS Comput Biol       Date:  2022-03-14       Impact factor: 4.475

6.  The Dorsal Visual System Predicts Future and Remembers Past Eye Position.

Authors:  Adam P Morris; Frank Bremmer; Bart Krekelberg
Journal:  Front Syst Neurosci       Date:  2016-02-24
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.