Estimation of arm movement from the neural activities of the primary motor cortex

  • Authors:

  • Kyuwan Choi;Hideaki Hirose;Yoshio Sakurai;Toshio Iijima;Yasuharu Koike

  • Affiliations:

  • Brain Science Institute, RIKEN and JST CREST;Graduate School of Life Sciences, Tohoku University and JST CREST;Graduate School of Letters, Kyoto University and JST CREST;Graduate School of Life Sciences, Tohoku University and JST CREST;Precision and Intelligence Laboratory, Tokyo Institute of Technology and JST CREST

  • Venue:
  • ISPRA'09 Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation
  • Year:
  • 2009

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Abstract

We succeeded in reconstructing muscle activities from neural activities and in reconstructing joint angles during static condition. However, the reconstructed joint angles during movement did not have a good correlation with the real joint angles. Therefore, we adopted a servo mechanism to compensate for the error in the joint angles. This error mainly arises due to muscle properties such as the velocity-tension relationship or the length-tension relationship. In order to overcome the limitations due to these muscle properties, we divided an artificial neural network into two networks-one for movement control and one for posture control. We also trained the gating network to switch between the two neural networks. As a result, the gating network switched the modules properly, and the accuracy of the estimated angles improved.