Title: Learning Eye Vergence Control from a Distributed Disparity Representation
Authors: Chumerin, Nikolay ×
Gibaldi, Agostino
Sabatini, Silvio
Van Hulle, Marc #
Issue Date: Aug-2010
Publisher: World Scientific
Series Title: International Journal of Neural Systems vol:20 issue:4 pages:267-278
Abstract: We present two neural models for vergence angle control of a
robotic head, a simplified and a more complex one. Both models work in a closed-loop manner and do not rely on
explicitly computed disparity, but extract the desired vergence angle from the post-processed response of a population of disparity tuned complex cells, the actual gaze direction and the actual vergence angle. The first model assumes that the gaze direction of the robotic head is
orthogonal to its baseline and the stimulus is a frontoparallel plane, thus, also orthogonal to the gaze direction. The second model goes beyond these assumptions, and operates reliably in the general case where all restrictions on the orientation of the gaze,
as well as the stimulus position, type and orientation, are dropped.
ISSN: 0129-0657
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Group Neurophysiology
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
Chumerin-2010-IJNS.pdf Published 1475KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science