Anticipatory models in gaze control: a developmental model
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Infants gradually learn to predict the motion of moving targets and change from a strategy that mainly depends on saccades to one that depends on anticipatory control of smooth pursuit. A model is described that combines three types of mechanisms for gaze control that develops in a way similar to infants. Initially, gaze control is purely reactive, but as the anticipatory models become more accurate, the gain of the pursuit will increase and lead to a larger fraction of smooth eye movements. Finally, a third system learns to predict changes in target motion, which will lead to fast retuning of the parameters in the anticipatory model.
KeywordsAnticipation Development Gaze control Learning
This work was funded by the EU project MindRaces, FP6-511931.
- Balkenius C, Winberg S (2004) Cognitive modeling with context sensitive reinforcement learning. In: Proceedings of AILS ’04, Department of Computer Science, LundGoogle Scholar
- Balkenius C, Eriksson AP, Åström K (2004) Learning in visual attention. In: Proceedings of LAVS ’04. St Catharine’s College, Cambridge, UKGoogle Scholar
- Doya K, Sugimoto N, Wolpert D, Kawato M (2003) Selecting optimal behaviors based on context. In: International symposium on emergent mechanisms of communicationGoogle Scholar
- Huang H-P, Lin F-Y (2004) On-line adaptive switching control for open-loop stable and integrating processes. In: Proceedings of the 2004 IEEE international conference on control applications, TaipeiGoogle Scholar
- Piaget J (1937) La construction du rèel chez l’enfant. Neuchatel: Delachaux et NiestleGoogle Scholar
- Prem E, Hörtnagl E, Dorffner G (2002) Growing event memories for autonomous robots. In: Proceedings of the workshop on growing artifacts that live, seventh international conference on simulation of adaptive behavior, Edinburgh, ScotlandGoogle Scholar
- Shibata T, Vijayakumar S, Conradt J, Schaal S (2001) Humanoid oculomotor control based on concepts of computational neuroscience. In: Humanoids 2001, second IEEE-RAS International conference on Humanoid Robots. Waseda University, Japan, pp 278–85Google Scholar