A recurrent neural network model for generation of humanlike reaching movements-Reference-Cited by-同舟云学术

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A recurrent neural network model for generation of humanlike reaching movements

Published:2018-07-27 Issue:15 Volume:32 Page:837-849
ISSN:0169-1864
Container-title:Advanced Robotics
language:en
Short-container-title:Advanced Robotics

Author:

Tsuzuki Yuta¹,Ogihara Naomichi¹

Affiliation:

1. Department of Mechanical Engineering, Faculty of Science and Technology, Keio University, Yokohama, Japan

Funder

Kayamori Foundation of Information Science Advancement

Publisher

Informa UK Limited

Subject

Computer Science Applications,Hardware and Architecture,Human-Computer Interaction,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/01691864.2018.1496031

Reference50 articles.

1. The coordination of arm movements: an experimentally confirmed mathematical model

2. Formation and control of optimal trajectory in human multijoint arm movement

3. Minimum Muscle-Tension Change Trajectories Predicted by Using a 17-Muscle Model of the Monkey's Arm

4. Signal-dependent noise determines motor planning

5. Evaluation of Trajectory Planning Models for Arm-Reaching Movements Based on Energy Cost

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1. An arm musculoskeletal control scheme incorporating cerebellar and emotional learning models;The European Physical Journal Special Topics;2024-08-02

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