Modeling of hyper-adaptability: from motor coordination to rehabilitation. (18th July 2021)

• Record Type: Journal Article
• Authors: Eberle, Harry; Hayashi, Yoshikatsu; Kurazume, Ryo; Takei, Tomohiko; An, Qi
• Is Part Of: Advanced robotics. Volume 35:Number 13/14(2021)
• Page Start: 802
• Page End: 817
• Publication Date: 2021-07-18
• Subjects: Rehabilitation -- motor control theory -- neural networks; Robotics -- Periodicals; Robotics -- Japan -- Periodicals; Robotics; Japan; Periodicals; 629.89205
• DOI: 10.1080/01691864.2021.1943710
• Languages: English
• ISSNs: 0169-1864

Abstract

Abstract : Hyper-adaptability is an ability of humans and animals to adapt to large-scale changes in the nervous system or the musculoskeletal system, such as strokes and spinal cord injuries. Although this adaptation may involve similar neural processes with normal adaptation to usual environmental and body changes in daily lives, it can be fundamentally different because it requires 'construction' of the neural structure itself and 'reconstitution' of sensorimotor control rules to compensate for the changes in the nervous system. In this survey paper, we aimed to provide an overview on how the brain structure changes after brain injury and recovers through rehabilitation. Next, we demonstrated the recent approaches used to apply computational and neural network modeling to recapitulate motor control and motor learning processes. Finally, we discussed future directions to bridge the gap between conventional physiological and modeling approaches to understand the neural and computational mechanisms of hyper-adaptability and its applications to clinical rehabilitation. GRAPHICAL ABSTRACT: UF0001