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Neural and Computational Modeling of Movement Control
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Year: 2017 Publisher: Frontiers Media SA

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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


Book
Neural and Computational Modeling of Movement Control
Authors: --- ---
Year: 2017 Publisher: Frontiers Media SA

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Abstract

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


Book
Neural and Computational Modeling of Movement Control
Authors: --- ---
Year: 2017 Publisher: Frontiers Media SA

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Bookmark

Abstract

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


Book
A Handbook of Yoga for Modern Living
Authors: ---
Year: 1964 Publisher: New York, New York Pyramid Books

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Book
Yoga
Authors: ---
ISBN: 0140204482 Year: 1971 Publisher: Harmondsworth, Middlesex Penguin Books Ltd.

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Book
<> didactique des langues dans la formation initiale des enseignant. E. s en Suisse = Fremdsprachendidaktik in der Schweizer Lehrer*innenbildung : quelles postures scientifiques face aux pratiques de terrain? = an welchen wissenschaftlichen Positionen orientiert sich die Praxis?
Authors: ---
ISBN: 2807619355 2807619347 2807619363 Year: 2022 Publisher: Bern Peter Lang International Academic Publishing Group

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Quelles sont les approches scientifiques et méthodologiques sur lesquelles se base la didactique des langues dans un pays comme la Suisse, où chaque canton décide de manière plus ou moins autonome des langues « étrangères » qui y sont enseignées et dans quel ordre ? Quels sont les concepts fondamentaux, les notions et les épistémologies retenus et légitimés par les curricula de formation ? Telles sont les questions qu’aborde l’ouvrage. Welche wissenschaftsmethodischen und inhaltlichen Positionen sind im Bereich Fremdsprachendidaktik in einem Land wie der Schweiz aktuell, wo jeder Kanton mehr oder weniger autonom darüber entscheidet, welche Fremdsprachen in welcher Reihenfolge unterrichtet werden? Welche Epistemologie bzw. welche theoretischen Konzepte und Begriffe finden Eingang in Curricula der Lehrer*innenbildung? Diesen Fragen geht der vorliegende Sammelband nach.


Dissertation
Mémoire (y compris un séminaire de préparation au mémoire)[BR]- Mémoire :"De la construction du doute à la déviance sanitaire : sociologie compréhensive des postures d'opposition aux mesures sanitaires dans le contexte de la pandémie de COVID-19 en Belgique francophone"[BR]- Séminaire de préparation au mémoire en sociologie
Authors: --- --- ---
Year: 2022 Publisher: Liège Université de Liège (ULiège)

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Suite à l'émergence de la pandémie de covid-19 arrivée depuis la Chine, les pouvoirs publics belges ont instauré, dès mars 2020, différentes mesures inédites afin de la contenir. Ces mesures ont suscité diverses réactions d'opposition au sein de la population. Sur base d'une enquête qualitative, ce mémoire vise à restituer les logiques processuelles par lesquelles ces individus en sont venus à être opposés aux mesures, en se focalisant sur leurs représentations, leurs pratiques informationnelles, et leurs comportements.


Book
Développement (im)personnel : le succès d'une imposture
Author:
ISBN: 9791032906095 Year: 2019 Publisher: Paris : Éditions de l'Observatoire,

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La 4e de couv. indique : "Comment se « développer » quand on est sans cesse « enveloppé » par des coachs ? Comment le développement serait-il « personnel » quand guides et manuels s'adressent à chacun comme à tout autre ? La philosophe Julia de Funès fustige avec délectation les impostures d'une certaine psychologie positive. « L'authenticité en 5 leçons », « La confiance en soi : mode d emploi », « Les 10 recettes du bonheur »... Les librairies sont envahies d'ouvrages qui n'en finissent pas d'exalter l'empire de l'épanouissement personnel. Les coachs, nouveaux vigiles du bien-être, promettent eux aussi sérénité, réussite et joie. À les écouter, il n'y aurait plus de « malaise dans la civilisation », mais une osmose radieuse. Nous voici propulsés dans la « pensée positive » qui positive plus qu'elle ne pense ! C'est le non-esprit du temps. Pourquoi le développement personnel, nouvel opium du peuple, rencontre-t-il un tel engouement ? Sur quels ressorts psychologiques et philosophiques prend-il appui ? L'accomplissement de soi ne serait-il pas à rechercher ailleurs que dans ces (im)postures intellectuelles et comportementales ? Pour lutter contre la niaiserie facile et démagogique des charlatans du « moi », Julia de Funès propose quelques pépites de grands penseurs. Si la philosophie, âgée de 3 000 ans, est toujours là, c est qu en cultivant le point d'interrogation, elle développe l'intelligence de l'homme, fait voler en éclats les clichés et les lourdeurs du balisé, et permet à chacun de mieux affirmer sa pensée et vivre sa liberté. L'esprit n'est jamais mort, la réflexion ne rend pas les armes, une libération est toujours possible ! "


Book
Tantrik Yoga.Hindu and Tibetan
Authors: --- ---
ISBN: 0877280061 Year: 1975 Publisher: New York, N. Y. Samuel Weiser, Inc.

Vestibular and visual control on posture and locomotor equilibrium
Authors: ---
ISBN: 3805539517 Year: 1985 Publisher: Basel Karger

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