Motor Control: Theories, Experiments, and Applications

✍ Scribed by Frederic Danion PhD, Mark Latash PhD

• Publisher: Oxford University Press, USA
• Year: 2010
• Tongue: English
• Leaves: 536
• Edition: 1
• Category: Library

✦ Synopsis

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 current 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 Fr?d?ric 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 RoboticsMotor 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.

✦ Table of Contents

Contents......Page 14
Contributors......Page 18
Part 1 Motor Control: Control of a Complex System......Page 26
1 Anticipatory Control of Voluntary Action: Merging the Ideas of Equilibrium-point Control and Synergic Control......Page 28
2 Object Representations Used in Action and Perception......Page 55
3 A Canonical-Dissipative Approach to Control and Coordination in the Complex System Agent-Task-Environment......Page 75
4 Observer-independent Dynamical Measures of Team Coordination and Performance......Page 97
5 Decomposing Muscle Activity in Motor Tasks: Methods and Interpretation......Page 127
Part 2 Cortical Mechanisms of Motor Control......Page 164
6 Dynamics of Motor Cortical Networks: The Complementarity of Spike Synchrony and Firing Rate......Page 166
7 Proximal-to-Distal Sequencing Behavior and Motor Cortex......Page 184
Part 3 Lessons from Biomechanics......Page 202
8 The Biomechanics of Movement Control......Page 204
9 Control of Locomotion: Lessons from Whole-body Biomechanical Analysis......Page 222
10 Control of Equilibrium in Humans: Sway over Sway......Page 244
Part 4 Lessons from Motor Learning and Using Tools......Page 268
11 Learning and Switching of Internal Models for Dexterous Tool Use......Page 270
12 Variability, Noise, and Sensitivity to Error in Learning a Motor Task......Page 292
13 Forecasting the Long-range Consequences of Manual and Tool Use Actions: Neurophysiological, Behavioral, and Computational Considerations......Page 320
14 Training Skills with Virtual Environments......Page 339
Part 5 Lessons from Studies of Aging and Motor Disorders......Page 370
15 Brain and Behavior Deficits in De Novo Parkinson Disease......Page 372
16 Emerging Principles in the Learning and Generalization of New Walking Patterns......Page 395
17 Aging and Movement Control: The Neural Basis of Age-related Compensatory Recruitment......Page 408
Part 6 Lessons from Robotics......Page 440
18 Decoding the Mechanisms of Gait Generation and Gait Transition in the Salamander Using Robots and Mathematical Models......Page 442
19 Aerial Navigation and Optic Flow Sensing: A Biorobotic Approach......Page 476
20 Models and Architectures for Motor Control: Simple or Complex?......Page 503
A......Page 528
E......Page 529
I......Page 530
M......Page 531
N......Page 532
P......Page 533
S......Page 534
V......Page 535
W......Page 536