A model of smooth pursuit in primates based on learning the target dynamics

Authors:
Tomohiro Shibata;Hiromitsu Tabata;Stefan Schaal;Mitsuo Kawato
Affiliations:
Metalearing and Neuromodulation, CREST, Japan Science and Technology Corporation, Kyoto, Japan and ATR Computational Neuroscience Labs, Kyoto, Japan and Graduate School of Information Science, Nar ...;Graduate School of Medicine, Kyoto University, Kyoto, Japan;ATR Computational Neuroscience Labs, Kyoto, Japan and Computer Science and Neuroscience, University of Southern California, LA, USA;ATR Computational Neuroscience Labs, Kyoto, Japan
Venue:
Neural Networks
Year:
2005

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Abstract

While the predictive nature of the primate smooth pursuit system has been evident through several behavioural and neurophysiological experiments, few models have attempted to explain these results comprehensively. The model we propose in this paper in line with previous models employing optimal control theory; however, we hypothesize two new issues: (1) the medical superior temporal (MST) area in the cerebral cortex implements a recurrent neural network (RNN) in order to predict the current or future target velocity, and (2) a forward model of the target motion is acquired by on-line learning. We use stimulation studies to demonstrate how our new model supports these hypotheses.