Accessibility navigation


Modelling of hyper-adaptability: from motor coordination to rehabilitation

Eberle, H., Hayashi, Y., Kurazume, R., Takei, T. and An, Q. (2021) Modelling of hyper-adaptability: from motor coordination to rehabilitation. Advanced Robotics, 35 (13-14). pp. 802-817. ISSN 1568-5535

[img] Text - Accepted Version
· Restricted to Repository staff only until 24 June 2022.

1MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1080/01691864.2021.1943710

Abstract/Summary

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.

Item Type:Article
Refereed:Yes
Divisions:Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:99480
Publisher:Taylor & Francis

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation