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This book provides a conceptual and computational framework to study how the nervous system exploits the anatomical properties of limbs to produce mechanical function. The study of the neural control of limbs has historically emphasized the use of optimization to find solutions to the muscle redundancy problem. That is, how does the nervous system select a specific muscle coordination pattern when the many muscles of a limb allow for multiple solutions?
I revisit this problem from the emerging perspective of neuromechanics that emphasizes finding and implementing families of feasible solutions, instead of a single and unique optimal solution. Those families of feasible solutions emerge naturally from the interactions among the feasible neural commands, anatomy of the limb, and constraints of the task. Such alternative perspective to the neural control of limb function is not only biologically plausible, but sheds light on the most central tenets and debates in the fields of neural control, robotics, rehabilitation, and brain-body co-evolutionary adaptations. This perspective developed from courses I taught to engineers and life scientists at Cornell University and the University of Southern California, and is made possible by combining fundamental concepts from mechanics, anatomy, mathematics, robotics and neuroscience with advances in the field of computational geometry.
Fundamentals of Neuromechanics is intended for neuroscientists, roboticists, engineers, physicians, evolutionary biologists, athletes, and physical and occupational therapists seeking to advance their understanding of neuromechanics. Therefore, the tone is decidedly pedagogical, engaging, integrative, and practical to make it accessible to people coming from a broad spectrum of disciplines. I attempt to tread the line between making the mathematical exposition accessible to life scientists, and convey the wonder and complexity of neuroscience to engineers and computational scientists. While no one approach can hope to definitively resolve the important questions in these related fields, I hope to provide you with the fundamental background and tools to allow you to contribute to the emerging field of neuromechanics.
- Sales Rank: #1249447 in Books
- Published on: 2015-09-10
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .56" w x 6.14" l, .0 pounds
- Binding: Hardcover
- 194 pages
From the Back Cover
This book provides a conceptual and computational framework to study how the nervous system exploits the anatomical properties of limbs to produce mechanical function. The study of the neural control of limbs has historically emphasized the use of optimization to find solutions to the muscle redundancy problem. That is, how does the nervous system select a specific muscle coordination pattern when the many muscles of a limb allow for multiple solutions?
I revisit this problem from the emerging perspective of neuromechanics that emphasizes finding and implementing families of feasible solutions, instead of a single and unique optimal solution. Those families of feasible solutions emerge naturally from the interactions among the feasible neural commands, anatomy of the limb, and constraints of the task. Such alternative perspective to the neural control of limb function is not only biologically plausible, but sheds light on the most central tenets and debates in the fields of neural control, robotics, rehabilitation, and brain-body co-evolutionary adaptations. This perspective developed from courses I taught to engineers and life scientists at Cornell University and the University of Southern California, and is made possible by combining fundamental concepts from mechanics, anatomy, mathematics, robotics and neuroscience with advances in the field of computational geometry.
Fundamentals of Neuromechanics is intended for neuroscientists, roboticists, engineers, physicians, evolutionary biologists, athletes, and physical and occupational therapists seeking to advance their understanding of neuromechanics. Therefore, the tone is decidedly pedagogical, engaging, integrative, and practical to make it accessible to people coming from a broad spectrum of disciplines. I attempt to tread the line between making the mathematical exposition accessible to life scientists, and convey the wonder and complexity of neuroscience to engineers and computational scientists. While no one approach can hope to definitively resolve the important questions in these related fields, I hope to provide you with the fundamental background and tools to allow you to contribute to the emerging field of neuromechanics.
About the Author
Francisco Valero-Cuevas is a Full Professor in the Department of Biomedical Engineering, and the Division of Biokinesiology & Physical Therapy at the University of Southern California. He also holds appointments in the departments of Aerospace & Mechanical Engineering and Computer Science. Prior to this he was Assistant and Associate Professor at Cornell University.
He holds a Bachelor’s degree in Engineering Science from Swarthmore College, a Masters degree from Queen’s University, and a Doctoral degree in Mechanical Engineering focused on neuroscience from Stanford University.
He has been visiting professor at the Max Planck Institute in Munich, Germany, ETH-Zurich, Switzerland, and the Institute of Sports Sciences in Innsbruck, Austria. He has served as Associate Editor of the IEEE Transactions on Biomedical Engineering and Guest Editor of PLoS Computational Biology. In 2013 he was elected Senior Member of the IEEE, and in 2014 to the College of Fellows of the American Institute for Medical and Biological Engineers.
His research focuses on an integrative approach to brain-body interactions for versatile function in machines and organisms.
Most helpful customer reviews
0 of 0 people found the following review helpful.
A gem of wonder.
By D.C. Wolf
I am not a scientist or engineer, therefore my rating holds no relevance on how this book enhances or furthers the study of Neuromechanics.
That said, I was seeking a deeper understanding of the math, engineering and science (STEM) behind neuromechanics, biomechanics, and robotics, and how they reach into other disciplines. This is a gem of a book, its focus narrow, the mathematics well explained.
The Appendix provided in the book, the Primer on Linear Algebra and the Kinematics of Rigid Bodies, was a welcomed inclusion for those of us who need a brush up on the math needed to grasp the concepts in the main text. (Lots of math “reading” in the book! On many occasions I thought “I’ll take your word for it,” and moved on.)
It was interesting to read (briefly, here and there) about the arguments on the approach of the topic, but also the annoyance the author had with the naming of muscles and other descriptors. I chuckled, but I understood that nomenclature can be biased or induce internal biases or assumptions.
The tendon-driven concept (versus muscle-driven) was made very clear, and opens up much more exploration and discussion. Ongoing puzzles to play with.
Reading this short book, which mostly dealt with the hand and its digits, but also touched on the question of vertebrates and motor control, the underlying tendons and muscles connecting with the brain, and nervous system in general, made me a bit uneasy. We often do not think below the skin, how complex, balanced and strong our systems are. Crucial to this research is in helping with rehabilitation, disabilities, and dealing with trauma.
And, lastly, on reflection, neuromechanics (along with the associated disciplines, like biomimetics) could evolve into something much different than simply the “precise” mimicking of humans or animals. Starting with one “simple” index finger, who knows where we’ll end up?
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