NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Multiple paired forward and inverse models for motor control
Neural Networks - Special issue on neural control and robotics: biology and technology
| Hi-index | 0.00 |
In this paper, we investigate a strategy for motor learning and propose a learning control model that integrates internal model learning and the viscoelastic adjustment of the human arm. In this model, the value of the viscoelasticity is modulated by the values of a control error and a predictive error. Consequently, the adjustment mechanism eliminates the weak point that for conventional learning control models desired movements cannot be realized at the beginning of learning, by gradually shifting from relatively higher viscoelasticity to lower viscoelasticity through learning.