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A network for learning kinematics with application to human reaching models

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1 Author(s)
Fiala, J.C. ; Dept. of Cognitive & Neural Syst., Boston Univ., MA, USA

A model for self-organization of the coordinate transformations required for spatial reaching is presented. During a motor babbling phase, a mapping from spatial coordinate directions to joint motion directions is learned. After learning, the model is able to produce straight-line spatial trajectories with characteristic bell-shaped spatial velocity profiles, as observed in human reaches. Simulation results are presented for transverse plane reaching using a two degree-of-freedom arm

Published in:

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on  (Volume:5 )

Date of Conference:

27 Jun-2 Jul 1994