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Neuromechanical Modeling of...
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.  
Monografía
monografia Rebiun17664890 https://catalogo.rebiun.org/rebiun/record/Rebiun17664890 cr c||||||||| 151230s2016 xxu o 001 0 eng d 9781493932672 978-1-4939-3267-2 10.1007/978-1-4939-3267-2 doi UEM 84452 CBUC 991031910289706706 CBUC 991011896639706708 UPVA 996880703503706 UAM 991007697325804211 CBUC 991010468834306709 UR0393854 UAL. spa. UAL. rdc PSAN bicssc MED057000 bisacsh 612.8 23 Neuromechanical Modeling of Posture and Locomotion edited by Boris I. Prilutsky, Donald H. Edwards 1st ed. 2016 New York, NY Springer New York Imprint: Springer 2016 New York, NY New York, NY Springer New York Imprint: Springer 1 recurso en línea 1 recurso en línea XI, 368 p. 116 illus., 52 illus. in color XI, 368 p. 116 illus., 52 illus. in color Springer Series in Computational Neuroscience 2197-1900 Springer eBooks 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. Modo de acceso: World Wide Web Medicine Neurosciences Neurobiology Neural networks (Computer science) Biomedicine Neurosciences Mathematical Models of Cognitive Processes and Neural Networks Neurobiology Libros electrónicos Recursos electrónicos Prilutsky, Boris I. editor Edwards, Donald H. editor SpringerLink (Online service) Springer Series in Computational Neuroscience 2197-1900