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Kategorie szczegółowe BISAC

Neuromechanical Modeling of Posture and Locomotion

ISBN-13: 9781493980086 / Angielski / Miękka / 2019 / 368 str.

Boris I. Prilutsky; Donald H. Edwards
Neuromechanical Modeling of Posture and Locomotion Boris I. Prilutsky Donald H. Edwards 9781493980086 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Neuromechanical Modeling of Posture and Locomotion

ISBN-13: 9781493980086 / Angielski / Miękka / 2019 / 368 str.

Boris I. Prilutsky; Donald H. Edwards
cena 605,23 zł
(netto: 576,41 VAT:  5%)

Najniższa cena z 30 dni: 578,30 zł
Termin realizacji zamówienia:
ok. 22 dni roboczych
Bez gwarancji dostawy przed świętami

Darmowa dostawa!
Kategorie:
Nauka, Medycyna
Kategorie BISAC:
Medical > Neuroscience
Mathematics > Matematyka stosowana
Mathematics > Prawdopodobieństwo i statystyka
Wydawca:
Springer
Seria wydawnicza:
Springer Series in Computational Neuroscience
Język:
Angielski
ISBN-13:
9781493980086
Rok wydania:
2019
Wydanie:
Softcover Repri
Ilość stron:
368
Waga:
0.53 kg
Wymiary:
23.39 x 15.6 x 2.01
Oprawa:
Miękka
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

"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)

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.

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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