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Neuromechanical modeling of posture ...

Edwards, Donald H.

Neuromechanical modeling of posture and locomotion

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Neuromechanical modeling of posture and locomotionedited by Boris I. Prilutsky, Donald H. Edwards.
其他作者:	Prilutsky, Boris I.
出版者:	New York, NY :Springer New York :2016.
面頁冊數:	xi, 368 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Biomechanics.
電子資源:	http://dx.doi.org/10.1007/978-1-4939-3267-2
ISBN:	9781493932672$q(electronic bk.)

Neuromechanical modeling of posture and locomotion
Neuromechanical modeling of posture and locomotion[electronic resource] /edited by Boris I. Prilutsky, Donald H. Edwards. - New York, NY :Springer New York :2016. - xi, 368 p. :ill., digital ;24 cm. - Springer series in computational neuroscience,2197-1900. - Springer series in computational neuroscience..

Preface -- Better science through predictive modeling: Numerical tools for understanding neuromechanical interactions -- A neuromechanical model of spinal control of locomotion -- Neural regulation of limb mechanics: Insights from the organization of proprioceptive circuits -- Model-based approaches to understanding musculoskeletal filtering of neural signals -- Modeling the organization of spinal cord neural circuits controlling two-joint muscles -- Muscles: non-linear transformers of motor neuron activity -- Why is neuromechanical modeling of balance and locomotion so hard? -- Neuromusculoskeletal modeling for the adaptive control of posture during locomotion -- Model-based interpretations of experimental data related to the control of balance during stance and gait in humans -- Computing motion dependent afferent activity during cat locomotion using a forward dynamics musculoskeletal model -- Modeling and optimality analysis of pectoral fin locomotion -- Control of cat walking and paw-shake by a multifunctional central pattern generator.

For over a century, research has yielded enormous amounts of quantitative information about animal motor systems. Yet our understanding of neural control mechanisms of animal balance and locomotion remains cursory and fragmented. This book aims to change that. This is the first book on neuromechanical modeling, a tool that integrates the massive body of knowledge in computational models and complex motor behaviors to reveal the mechanisms by which these behaviors emerge. The majority of research groups working in this area have contributed chapters to this book. The book covers a wide range of topics from theoretical studies linking the organization of spinal reflex pathways and central pattern generating circuits with morphology and mechanics of the musculoskeletal system, to detailed neuromechanical models of balance and locomotor control, to analyses of nonlinear transformations of neural signals by the musculoskeletal system. This book can be used as an introductory guide to this new and exciting area of computational neuroscience research.

ISBN: 9781493932672$q(electronic bk.)

Standard No.: 10.1007/978-1-4939-3267-2doiSubjects--Topical Terms:

188942
Biomechanics.

LC Class. No.: QP303

Dewey Class. No.: 573.79343

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520 $a For over a century, research has yielded enormous amounts of quantitative information about animal motor systems. Yet our understanding of neural control mechanisms of animal balance and locomotion remains cursory and fragmented. This book aims to change that. This is the first book on neuromechanical modeling, a tool that integrates the massive body of knowledge in computational models and complex motor behaviors to reveal the mechanisms by which these behaviors emerge. The majority of research groups working in this area have contributed chapters to this book. The book covers a wide range of topics from theoretical studies linking the organization of spinal reflex pathways and central pattern generating circuits with morphology and mechanics of the musculoskeletal system, to detailed neuromechanical models of balance and locomotor control, to analyses of nonlinear transformations of neural signals by the musculoskeletal system. This book can be used as an introductory guide to this new and exciting area of computational neuroscience research.
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