Self-calibrating smooth pursuit through active efficient coding

• Published in: Robotics and autonomous systems Vol. 71; pp. 3 - 12
• Main Authors: Teulière, C., Forestier, S., Lonini, L., Zhang, C., Zhao, Y., Shi, B., Triesch, J.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2015; Elsevier
• Subjects: Active perception; Automatic; Autonomous learning; Cognitive science; Computer Science; Computer Vision and Pattern Recognition; Efficient coding; Engineering Sciences; Machine Learning; Neuroscience; Robotics; Smooth pursuit; Autonomous learning; Smooth pursuit; Efficient coding; Active perception; Robotics; efficient coding; robotics; active perception; smooth pursuit

This paper presents a model for the autonomous learning of smooth pursuit eye movements based on an efficient coding criterion for active perception. This model accounts for the joint development of visual encoding and eye control. Sparse coding models encode the incoming data at two different spati...