Neural and Computational Modeling of Movement Control (Record no. 2996586)

MARC details
000 -LEADER
fixed length control field 05028naaaa2200325uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/54466
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220714175058.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-2-88945-130-2
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9782889451302
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3389/978-2-88945-130-2
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Vincent C. K. Cheung
Relator code auth
9 (RLIN) 1592870
245 10 - TITLE STATEMENT
Title Neural and Computational Modeling of Movement Control
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Frontiers Media SA
Date of publication, distribution, etc 2017
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (178 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc In the study of sensorimotor systems, an important research goal has been to understand the way neural networks in the spinal cord and brain interact to control voluntary movement. Computational modeling has provided insight into the interaction between centrally generated commands, proprioceptive feedback signals and the biomechanical responses of the moving body. Research in this field is also driven by the need to improve and optimize rehabilitation after nervous system injury and to devise biomimetic methods of control in robotic devices. This research topic is focused on efforts dedicated to identify and model the neuromechanical control of movement. Neural networks in the brain and spinal cord are known to generate patterned activity that mediates coordinated activation of multiple muscles in both rhythmic and discrete movements, e.g. locomotion and reaching. Commands descending from the higher centres in the CNS modulate the activity of spinal networks, which control movement on the basis of sensory feedback of various types, including that from proprioceptive afferents. The computational models will continue to shed light on the central strategies and mechanisms of sensorimotor control and learning. This research topic demonstrated that computational modeling is playing a more and more prominent role in the studies of postural and movement control. With increasing ability to gather data from all levels of the neuromechanical sensorimotor systems, there is a compelling need for novel, creative modeling of new and existing data sets, because the more systematic means to extract knowledge and insights about neural computations of sensorimotor systems from these data is through computational modeling. While models should be based on experimental data and validated with experimental evidence, they should also be flexible to provide a conceptual framework for unifying diverse data sets, to generate new insights of neural mechanisms, to integrate new data sets into the general framework, to validate or refute hypotheses and to suggest new testable hypotheses for future experimental investigation. It is thus expected that neural and computational modeling of the sensorimotor system should create new opportunities for experimentalists and modelers to collaborate in a joint endeavor to advance our understanding of the neural mechanisms for postural and movement control. The editors would like to thank Professor Arthur Prochazka, who helped initially to set up this research topic, and all authors who contributed their articles to this research topic. Our appreciation also goes to the reviewers, who volunteered their time and effort to help achieve the goal of this research topic. We would also like to thank the staff members of editorial office of Frontiers in Computational Neuroscience for their expertise in the process of manuscript handling, publishing, and in bringing this ebook to the readers. The support from the Editor-in-Chief, Dr. Misha Tsodyks and Dr. Si Wu is crucial for this research topic to come to a successful conclusion. We are indebted to Dr. Si Li and Ms. Ting Xu, whose assistant is important for this ebook to become a reality. Finally, this work is supported in part by grants to Dr. Ning Lan from the Ministry of Science and Technology of China (2011CB013304), the Natural Science Foundation of China (No. 81271684, No. 61361160415, No. 81630050), and the Interdisciplinary Research Grant cross Engineering and Medicine by Shanghai Jiao Tong University (YG20148D09). Dr. Vincent Cheung is supported by startup funds from the Faculty of Medicine of The Chinese University of Hong Kong. Guest Associate Editors Ning Lan, Vincent Cheung, and Simon Gandevia
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
-- https://creativecommons.org/licenses/by/4.0/
-- cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Postures
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term neural circuits
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Sensorimotor control
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term movements
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term computational modeling
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ning Lan
Relator code auth
9 (RLIN) 1592871
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Simon C. Gandevia
Relator code auth
9 (RLIN) 1592872
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="http://journal.frontiersin.org/researchtopic/2888/neural-and-computational-modeling-of-movement-control">http://journal.frontiersin.org/researchtopic/2888/neural-and-computational-modeling-of-movement-control</a>
-- 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/54466">https://directory.doabooks.org/handle/20.500.12854/54466</a>
-- 0
Public note DOAB: description of the publication
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