Neuromechanical Modeling of Posture and Locomotion

1. Front Matter

   Pages i-xi

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2. Innovative Modeling Approaches in Neuromechanical Research

   1. Front Matter

      Pages 1-1

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   2. Better Science Through Predictive Modeling: Numerical Tools for Understanding Neuromechanical Interactions

      • Nathan E. Bunderson, Jeffrey Bingham

      Pages 3-19

   3. A Neuromechanical Model of Spinal Control of Locomotion

      • Sergey N. Markin, Alexander N. Klishko, Natalia A. Shevtsova, Michel A. Lemay, Boris I. Prilutsky, Ilya A. Rybak

      Pages 21-65

3. Organization of Afferent Signals, Central Neural Circuits and the Musculoskeletal System: Insights from Neuromechanical Modeling

   1. Front Matter

      Pages 67-67

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   2. Neural Regulation of Limb Mechanics: Insights from the Organization of Proprioceptive Circuits

      • T. Richard Nichols, Nathan E. Bunderson, Mark A. Lyle

      Pages 69-102

   3. Model-Based Approaches to Understanding Musculoskeletal Filtering of Neural Signals

      • Thomas J. Burkholder

      Pages 103-120

   4. 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, Ilya A. Rybak

      Pages 121-162

   5. Muscles: Non-linear Transformers of Motor Neuron Activity

      • Scott L. Hooper, Christoph Guschlbauer, Marcus Blümel, Arndt von Twickel, Kevin H. Hobbs, Jeffrey B. Thuma et al.

      Pages 163-194

4. Neuromechanical Modeling of Posture and Postural Control

   1. Front Matter

      Pages 195-195

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   2. Why Is Neuromechanical Modeling of Balance and Locomotion So Hard?

      • Jessica L. Allen, Lena H. Ting

      Pages 197-223

   3. Neuromusculoskeletal Modeling for the Adaptive Control of Posture During Locomotion

      • Shinya Aoi

      Pages 225-244

   4. Model-Based Interpretations of Experimental Data Related to the Control of Balance During Stance and Gait in Humans

      • Robert J. Peterka

      Pages 245-270

5. Neuromechanical Modeling of Locomotion

   1. Front Matter

      Pages 271-271

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   2. Computing Motion Dependent Afferent Activity During Cat Locomotion Using a Forward Dynamics Musculoskeletal Model

      • Boris I. Prilutsky, Alexander N. Klishko, Douglas J. Weber, Michel A. Lemay

      Pages 273-307

   3. Modeling and Optimality Analysis of Pectoral Fin Locomotion

      • Xinmin Liu, Frank Fish, R. Scott Russo, Silvia S. Blemker, Tetsuya Iwasaki

      Pages 309-332

   4. Control of Cat Walking and Paw-Shake by a Multifunctional Central Pattern Generator

      • Brian Bondy, Alexander N. Klishko, Donald H. Edwards, Boris I. Prilutsky, Gennady Cymbalyuk

      Pages 333-359

6. Back Matter

   Pages 361-368

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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.

• Locomotion
• Modeling sensorimotor integration
• Neuromechanical modeling
• Posture
• Sensory control of neural pattern generation

“This is a desk reference, text, and atlas on the Biomechanics, Kinesiology, Bioengineering, and Neurophysiology of Posture Control and locomotion of animals, humans, cats, and sting rays. … This is a very high quality monograph on computational neurosciences. The book will benefit researchers, neurophysiologists, neurologists, and kinesiologists.” (Joseph Grenier, Amazon.com, April, 2018)

• Georgia Institute of Technology , Atlanta, USA

  Boris I. Prilutsky

• Georgia State University , Atlanta, USA

  Donald H. Edwards

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 Kennedyat 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.

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