Neuromechanical Modeling of Posture and Locomotion, 1st ed. 2016 Springer Series in Computational Neuroscience Series

Langue : Anglais

Coordonnateurs : Prilutsky Boris I., Edwards Donald H.

Couverture de l’ouvrage Neuromechanical Modeling of Posture and Locomotion

Résumé
Sommaire
Biographie
Commentaire

Neuromechanics is a new, quickly growing field of neuroscience research that merges neurophysiology, biomechanics and motor control and aims at understanding living systems and their elements through interactions between their neural and mechanical dynamic properties. Although research in Neuromechanics is not limited by computational approaches, neuromechanical modeling is a powerful tool that allows for integration of massive knowledge gained in the past several decades in organization of motion related brain and spinal cord activity, various body sensors and reflex pathways, muscle mechanical and physiological properties and detailed quantitative morphology of musculoskeletal systems. Recent work in neuromechanical modeling has demonstrated advantages of such an integrative approach and led to discoveries of new emergent properties of neuromechanical systems. Neuromechanical Modeling of Posture and Locomotion will cover a wide range of topics from theoretical studies linking the organization of reflex pathways and central pattern generating circuits with morphology and mechanics of the musculoskeletal system (Burkholder; Nichols; Shevtsova et al.) to detailed neuromechanical models of postural and locomotor control (Bunderson; Edwards, Marking et al., Ting). Furthermore, uniquely diverse modeling approaches will be presented in the book including a theoretical dynamic analysis of locomotor phase transitions (Spardy and Rubin), a hybrid computational modeling that allows for in vivo interactions between parts of a living organism and a computer model (Edwards et al.), a physical neuromechanical model of the human locomotor system (Lewis), and others.

Part I. Innovative modeling approaches in neuromechanical research

Chapter 1. Better science through predictive modeling: Numerical tools for understanding neuromechanical interactions - Nathan E. Bunderson and Jeffrey Bingham

Chapter 2. A neuromechanical model of spinal control of locomotion - Sergey N. Markin, Alexander N. Klishko, Natalia A. Shevtsova, Michel A. Lemay, Boris I. Prilutsky and Ilya A. Rybak

Part II. Organization of afferent signals, central neural circuits and the musculoskeletal system: Insights from neuromechanical modeling

Chapter 3. Neural regulation of limb mechanics: Insights from the organization of proprioceptive circuits - T. Richard Nichols, Nathan E. Bunderson and Mark A. Lyle

Chapter 4. Model-based approaches to understanding musculoskeletal filtering of neural signals - Thomas J. Burkholder

Chapter 5. Modeling the organization of spinal cord neural circuits controlling two-joint muscles - Natalia A. Shevtsova, Khaldoun Hamade, Samit Chakrabarty, Sergey N. Markin, Boris I. Prilutsky and Ilya A. Rybak

Chapter 6. Muscles: non-linear transformers of motor neuron activity - Scott L. Hooper, Christoph Guschlbauer, Marcus Blümel, Arndt von Twickel, Kevin H. Hobbs, Jeffrey B. Thuma and Ansgar Büschges

Part III. Neuromechanical modeling of posture and postural control

Chapter 7. Why i

s ne

uromechanical modeling of balance and locomotion so hard? - Jessica L. Allen and Lena H. Ting

Chapter 8. Neuromusculoskeletal modeling for the adaptive control of posture during locomotion - Shinya Aoi

Chapter 9. Model-based interpretations of experimental data related to the control of balance during stance and gait in humans - Robert J. Peterka

Part IV. Neuromechanical modeling of locomotion

Chapter 10. Computing motion dependent afferent activity during cat locomotion using a forward dynamics musculoskeletal model - Boris I. Prilutsky, Alexander N. Klishko, Douglas J. Weber and Michel A. Lemay

Chapter 11. Modeling and optimality analysis of pectoral fin locomotion - Xinmin Liu, Frank Fish, R. Scott Russo, Silvia S. Blemker and Tetsuya Iwasaki

Chapter 12. Control of cat walking and paw-shake by a multifunctional central pattern generator - Brian Bondy, Alexander N. Klishko, Donald H. Edwards, Boris I. Prilutsky and Gennady Cymbalyuk

Boris Prilutsky received his BS degrees in physical education and applied mathematics/ mechanics from Central Institute of Physical Culture in Moscow, Russia and Moscow Institute of Electronic Engineering, respectively, and a PhD in animal movement biomechanics and physiology from Latvian Research Institute of Traumatology and Orthopedics. He is currently an associate professor in the School of Applied Physiology and director of Biomechanics and Motor Control laboratory at the Georgia Institute of Technology and an adjunct associate professor in the Division of Physical Therapy at Emory University School of Medicine. His research interests are biomechanics and neural control of normal and pathological movement.

Donald H. Edwards received a B.S. degree in electrical engineering from the Massachusetts Institute of Technology and a Ph.D. in neurobiology from Yale University. He studied sensori-motor integration as a postdoctoral research associate with Donald Kennedy at Stanford University and with Brian Mulloney at University of California, Davis. He joined the faculty at Georgia State University as Assistant Professor of Biology and is currently Regents’ Professor of Neuroscience. His research interests include sensori-motor integration, neuromechanics and the neural control of behavior.

The first book on the topic of neuromechanics in general and on neuromechanical modeling of posture and locomotion specifically

Presents uniquely diverse modeling approaches

Covers a range of topics from theoretical studies to detailed neuromechanical models

Includes supplementary material: sn.pub/extras