Preface | |
Contributors | |
Terminology and Foundations of Movement Science | p. 3 |
Neural and Muscular Properties: Current Views and Controversies | p. 39 |
Intraoperative Sarcomere Length Measurements Reveal Musculoskeletal Design Principles | p. 58 |
Commentary | p. 72 |
Comparison of Effective Synaptic Currents Generated in Spinal Motoneurons by Activating Different Input Systems | p. 74 |
Commentary: Nonlinear Interactions Between Multiple Synaptic Inputs | p. 81 |
Length, Shortening Velocity, Activation, and Fatigue Are Not Independent Factors Determining Muscle Force Exerted | p. 83 |
Commentary: What Is the Use of Models That Are Not Even True? | p. 90 |
Modeling of Homogeneous Muscle: Is It Realistic to Consider Skeletal Muscle as a Lumped Sarcomere or Fiber? | p. 92 |
Commentary: The Role of Distributed Properties in Muscle Mechanics | p. 98 |
Subtle Nonlinear Neuromuscular Properties Are Consistent with Teleological Design Principles | p. 100 |
Commentary: Analysis of Nonlinear Neuromuscular Properties - Teleology or Ideology? | p. 112 |
Commentary: Remarks Regarding the Paradigm of Study of Locomotor Apparatus and Neuromuscular Control of Movement | p. 114 |
Creating Neuromusculoskeletal Models | p. 119 |
System Identification and Neuromuscular Modeling | p. 134 |
A Reductionist Approach to Creating and Using Neuromusculoskeletal Models | p. 148 |
Musculoskeletal Systems with Intrinsic and Proprioceptive Feedback | p. 164 |
Neuromechanical Interaction in Cyclic Movements | p. 177 |
Musculoskeletal Dynamics in Rhythmic Systems: A Comparative Approach to Legged Locomotion | p. 192 |
Commentary: Cyclic Movements and Adaptive Tissues | p. 203 |
Biomechanics of Hydroskeletons: Studies of Crawling in the Medicinal Leech | p. 206 |
Commentary: Biomechanical Studies Clarify Pattern Generator Circuits | p. 218 |
Simulation of the Spinal Circuits Controlling Swimming Movement in Fish | p. 221 |
Commentary: Computer-Simulated Models Complement Experimental Investigations of Neuromotor Control in a Simple Vertebrate | p. 228 |
A Simple Neural Network for the Control of a Six-Legged Walking System | p. 231 |
Commentary: Are Decentralized or Central Control Systems Implied in the Locomotion? | p. 239 |
Commentary: Neural Control and Biomechanics in the Locomotion of Insects and Robots | p. 240 |
Neuromechanical Function of Reflexes During Locomotion | p. 243 |
Commentary: What Is a Reflex? | p. 251 |
Fractal Analysis of Human Walking Rhythm | p. 253 |
Commentary: The Fractal Nature of the Locomotor Rhythm May Be Due to Interactions Between the Brain and the Spinal Pattern Generator | p. 263 |
Postural Adaptation for Altered Environments, Tasks, and Intentions | p. 267 |
Altered Astronaut Performance Following Spaceflight: Control and Modeling Insights | p. 282 |
Commentary: Altered Astronaut Performance Following Spaceflight - Control and Modeling Insights | p. 290 |
Adaptive Sensory-Motor Processes Disturb Balance Control After Spaceflight | p. 292 |
Commentary: Adaptive Sensory-Motor Processes Disturb Balance Control After Spaceflight | p. 299 |
Neuromuscular Control Strategies in Postural Coordination | p. 300 |
Commentary: Neuromuscular Control Strategies in Postural Coordination | p. 309 |
Neural and Mechanical Contributions to Upper Limb Movement | p. 315 |
Maps, Modules, and Internal Models in Human Motor Control | p. 317 |
How Much Coordination Can Be Obtained Without Representing Time? | p. 325 |
Augmenting Postural Primitives in Spinal Cord: Dynamic Force-Field Structures Used in Trajectory Generation | p. 334 |
Learning and Memory Formation of Arm Movements | p. 347 |
What Do We Plan or Control When We Perform a Voluntary Movement? | p. 354 |
Simulation of Multijoint Arm Movements | p. 363 |
Planning of Human Motions: How Simple Must It Be? | p. 373 |
Biomechanics of Manipulation: Grasping the Task at Hand | p. 382 |
A Principle of Control of Rapid Multijoint Movements | p. 390 |
Large-Scale Musculoskeletal Systems: Sensorimotor Integration and Optimization | p. 407 |
Progression of Musculoskeletal Models Toward Large-Scale Cybernetic Myoskeletal Models | p. 425 |
Commentary: Does Progression of Musculoskeletal Models Toward Large-Scale Cybernetic Models Yield Progress Toward Understanding of Muscle and Human or Animal Movement? | p. 437 |
Estimation of Movement from Surface EMG Signals Using a Neural Network Model | p. 440 |
Commentary: What Can We Learn from Artificial Neural Networks About Human Motor Control? | p. 454 |
Commentary: What's the Use of Black Box Musculoskeletal Models? | p. 456 |
Study Movement Selection and Synergies via a Synthesized Neuro-Optimization Framework | p. 458 |
Commentary: Can Neural Networks Teach Us the Way We Learn? | p. 474 |
Clinical Applications of Musculoskeletal Models in Orthopedics and Rehabilitation | p. 477 |
Commentary: Comments on Clinical Applications of Musculoskeletal Models in Orthopedics and Rehabilitation | p. 488 |
Human Performance and Rehabilitation Technologies | p. 493 |
Rehabilitators, Robots, and Guides: New Tools for Neurological Rehabilitation | p. 516 |
Commentary: Rehabilitators, Robots, and Guides | p. 533 |
Nonalaytical Control for Assisting Reaching in Humans with Disabilities | p. 535 |
Commentary: A Case for Soft Neurofuzzy Controller Interfaces for Humans with Disabilities | p. 548 |
Soft Computing Techniques for Evaluation and Control of Human Performance | p. 551 |
Commentary: Soft Computing Techniques for Evaluation and Control of Human Performance | p. 562 |
From Idea to Product | p. 563 |
Commentary: From Idea to Product | p. 570 |
Movement Synthesis and Regulation in Neuroprostheses | p. 573 |
Properties of Artificially Stimulated Muscles: Simulation and Experiments | p. 590 |
Commentary: One Muscle Model for All Applications? | p. 601 |
Synthesis of Hand Grasp | p. 605 |
Control with Natural Sensors | p. 617 |
Commentary: Control with Natural Sensors? | p. 629 |
Control of Rhythmic Movements Using FNS | p. 632 |
Commentary | p. 641 |
Morphological Data for the Development of Musculoskeletal Models: An Update | p. 645 |
Move3d Software | p. 659 |
Simulation of an Antagonistic Muscle Model in Matlab | p. 661 |
SPACAR: A Finite-Element Software Package for Musculoskeletal Modeling | p. 663 |
DataMonster | p. 665 |
Index | p. 667 |
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