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  • Motor Control: Theories, Experiments, and Applications

    Motor Control by Danion, PhD, Frederic; Latash, PhD, Mark;

    Theories, Experiments, and Applications

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    A termék adatai:

    • Kiadó OUP USA
    • Megjelenés dátuma 2011. január 13.

    • ISBN 9780195395273
    • Kötéstípus Keménykötés
    • Terjedelem536 oldal
    • Méret 163x236x33 mm
    • Súly 885 g
    • Nyelv angol
    • Illusztrációk 163 illustrations
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    Kategóriák

    Rövid leírás:

    The book focuses the recent developments in such areas as theories and models, neurophysiological, biomechanical, and behavioral studies, and applications to motor rehabilitation, prosthetics, and robotics. It offers a comprehensive coverage of the field of motor control with chapters written by established authorities in the field.

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    Hosszú leírás:

    Motor control has established itself as an area of scientific research characterized by a multi-disciplinary approach. Scientists working in the area of control of voluntary movements come from different backgrounds including but not limited to physiology, physics, psychology, mathematics, neurology, physical therapy, computer science, robotics, and engineering. One of the factors slowing progress in the area has been the lack of communication among researchers representing all these disciplines. A major objective of the curreent book is to overcome this deficiency and to promote cooperation and mutual understanding among researchers addressing different aspects of the complex phenomenon of motor coordination. The book offers a collection of chapters written by the most prominent researchers in the field. Despite the variety of approaches and methods, all the chapters are united by a common goal: To understand how the central nervous system controls and coordinates natural voluntary movements. This book will be appreciated as a major reference by researchers working in all the subfields that form motor control. It can also be used as a supplementary reading book for graduate courses in such fields as kinesiology, physiology, biomechanics, psychology, robotics, and movement disorders.


    In one concise volume, Motor Control presents the diversity of the research performed to understand human movement. Deftly organized into 6 primary sections, the editors, Dr Frédéric Danion and Dr Mark Latash, have invited the who's who of specialists to write on: MotorControl: Control of a Complex; Cortical Mechanisms of Motor Control; Lessons from Biomechanics; Lessons from Motor Learning and Using Tools; Lessons from Studies of Aging and MotorDisorders; and Lessons from Robotics

    Motor Control will quickly become the go-to reference for researchers in this growing field. Researchers from mechanics and engineering to psychology and neurophysiology, as well as clinicians working in motor disorders and rehabilitation, will be equally interested in the pages contained herein.

    Motor Control will quickly become the go-to reference for researchers in this growing field. Researchers from mechanics and engineernig to pscyhology and neurophysiology, as well as clinicians working in motor disorders and rehabilitation, will be equally interested in the pages contained herein.

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    Tartalomjegyzék:

    Contributors
    Section 1: Motor Control: Control of a Complex System
    Chapter 1: Anticipatory Control of Voluntary Action: Merging the Ideas of Equilibrium-point Control and Synergic Control
    Mark L. Latash
    Chapter 2: Object Representations Used in Action and Perception
    J. Randall Flanagan and Roland S. Johansson
    Chapter 3: A Canonical-dissipative Approach to Control and Coordination in the Complex System Agent-Task-Environment
    Till D. Frank, Dobromir G. Dotov, and Michael T. Turvey
    Chapter 4: Observer-independent Dynamical Measures of Team Coordination and Performance
    Silke M. Dodel, Ajay S. Pillai, Philip W. Fink, Eric R. Muth, Roy Stripling, Dylan D. Schmorrow, Jeffrey V. Cohn, and Viktor K. Jirsa
    Chapter 5: Decomposing Muscle Activity in Motor Tasks: Methods and Interpretation
    Lena H. Ting and Stacie A. Chvatal
    Section 2: Cortical Mechanisms of Motor Control
    Chapter 6: Dynamics of Motor Cortical Networks: the Complementarity of Spike Syndrome and Firing Rate
    Alexa Riehle, Sébastian Roux, Bjørg Elisabeth Kilavik, and Sonja Grün
    Chapter 7: Proximal-to-distal Sequencing Behavior and Motor Cortex
    Nicholas G. Hatsopoulos, Leonel Olmedo, and Kazutaka Takahashi
    Section 3: Lessons from Biomechanics
    Chapter 8: The Biomechanics of Movement Control
    Walter Herzog
    Chapter 9: Control of Locomotion: Lessons from Whole-body Biomechanical Analysis
    Boris I. Prilutsky and Alexander N. Klishko
    Chapter 10: Control of Equilibrium in Humans: Sway over Sway
    Marcos Duarte, Sandra M.S.F. Freitas, and Vladimir Zatsiorsky
    Section 4: Lessons from Motor Learning and Using Tools
    Chapter 11: Learning and Switching of Internal Models for Dexterous Tool Use
    Hiroshi Imamizu
    Chapter 12: Variability, Noise, and Sensitivity to Error in Learning a Motor Task
    Dagmar Sternad and Masaki O. Abe
    Chapter 13: Forecasting the Long-range Consequences of Manual and Tool Use Actions: Neurophysiological, Behavioral, and Computational Considerations
    Scott H. Frey
    Chapter 14: Training Skills with Virtual Environments
    Carlo A. Avizzano, Emanuele Ruffaldi, and Massimo Bergamasco
    Section 5: Lessons from Studies of Aging and Motor Disorders
    Chapter 15: Brain and Behavior Deficits in De Novo Parkinson's Disease
    David E. Vaillancourt and Janey Prodoehl
    Chapter 16: Emerging Principles in the Learning and Generalization of New Walking Patterns
    Erin V. L. Vasudevan, Amy J. Bastian, and Gelsy Torres-Oviedo
    Chapter 17: Aging and Movement Control: The Neural Basis of Age-related Compensatory Recruitment
    Stephan P. Swinnen, Sofie Heuninckx, Annouchka Van Impe, Daniel J. Goble, James P. Coxon, and Nicole Wenderoth
    Section 6: Lessons from Robotics
    Chapter 18: Decoding the Mechanisms of Gait Generation and Gait Transition in the Salamander Using Robots and Mathematical Models
    Jeremie Knuesel, Jean-Marie Cabelguen, and Auke Ijspeert
    Chapter 19: Aerial Navigation and Optic Flow Sensing: A Biorobotic Approach
    Nicolas Franceschini, Frank Ruffier, and Julien Serres
    Chapter 20: Models and Architectures for Motor Control: Simple or Complex?
    Emmanuel Guigon
    Index

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