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An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
Published on: August 25, 2020
A neural mechanism for coordinate transformation predicts pre-saccadic remapping.
Sebastian Schneegans1, Gregor Schöner
1Institut für Neuroinformatik, Ruhr-Universität Bochum, 44780, Bochum, Germany. sebastian.schneegans@ini.rub.de
Biological Cybernetics
|April 7, 2012
Summary
Spatial memory is retained across gaze shifts by transforming visual information between reference frames. A novel neural model explains how the brain updates spatial representations dynamically, reconciling previous theories.
Area of Science:
- Neuroscience
- Cognitive Science
- Computational Neuroscience
Background:
- Gaze shifts disrupt retinocentric spatial information, posing a challenge for spatial memory.
- Existing theories propose either gaze-invariant transformations or predictive retinocentric updating, previously seen as incompatible.
Purpose of the Study:
- To propose and validate a unified neural dynamic model for spatial coordinate transformation across gaze changes.
- To demonstrate how a single mechanism can explain both gaze-invariant representations and predictive retinocentric updating.
Main Methods:
- Developed a computational model simulating bidirectional mapping between retinocentric and body-centered reference frames.
- Incorporated corollary discharge signals for predictive gaze direction representation.
- Accounted for existing behavioral and neural experimental data.
Main Results:
- The model successfully explains how spatial information is maintained across gaze shifts.
- Demonstrated that dynamic coordinate transformation can account for predictive retinocentric updating.
- Showed parallel processing of multiple object locations within the model.
Conclusions:
- A unified neural dynamic mechanism for reference frame transformation can explain spatial memory retention across gaze changes.
- The model reconciles seemingly incompatible theories of spatial updating and coordinate transformation.
- Provides a framework for understanding neural mechanisms underlying spatial cognition and navigation.
