Learning the visual-oculomotor transformation: Effects on saccade control and space representation
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
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Título
Learning the visual-oculomotor transformation: Effects on saccade control and space representationFecha de publicación
2015-09Editor
ElsevierCita bibliográfica
ANTONELLI, Marco, et al. Learning the visual–oculomotor transformation: Effects on saccade control and space representation. Robotics and Autonomous Systems, 2014.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.sciencedirect.com/science/article/pii/S092188901400311XPalabras clave / Materias
Resumen
Active eye movements can be exploited to build a visuomotor representation of the surrounding environment. Maintaining and improving such representation requires to update the internal model involved in the generation ... [+]
Active eye movements can be exploited to build a visuomotor representation of the surrounding environment. Maintaining and improving such representation requires to update the internal model involved in the generation of eye movements. From this perspective, action and perception are thus tightly coupled and interdependent. In this work, we encoded the internal model for oculomotor control with an adaptive filter inspired by the functionality of the cerebellum. Recurrent loops between a feed-back controller and the internal model allow our system to perform accurate binocular saccades and create an implicit representation of the nearby space. Simulation results show that this recurrent architecture outperforms classical feedback-error-learning in terms of both accuracy and sensitivity to system parameters. The proposed approach was validated implementing the framework on an anthropomorphic robotic head. [-]
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Robotics and Autonomous Systems Volume 71, September 2015Derechos de acceso
Copyright © 2015 Elsevier B.V. All rights reserved.
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