| Preface |
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| Contributors |
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| Section I |
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Terminology and Foundations of Movement Science |
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3 | (36) |
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| Section II |
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Neural and Muscular Properties: Current Views and Controversies |
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39 | (19) |
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Intraoperative Sarcomere Length Measurements Reveal Musculoskeletal Design Principles |
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58 | (16) |
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72 | (2) |
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Comparison of Effective Synaptic Currents Generated in Spinal Motoneurons by Activating Different Input Systems |
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74 | (9) |
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Commentary: Nonlinear Interactions Between Multiple Synaptic Inputs |
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81 | (2) |
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Length, Shortening Velocity, Activation, and Fatigue Are Not Independent Factors Determining Muscle Force Exerted |
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83 | (9) |
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Commentary: What Is the Use of Models That Are Not Even True? |
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90 | (2) |
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Modeling of Homogeneous Muscle: Is It Realistic to Consider Skeletal Muscle as a Lumped Sarcomere or Fiber? |
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92 | (8) |
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Commentary: The Role of Distributed Properties in Muscle Mechanics |
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98 | (2) |
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Subtle Nonlinear Neuromuscular Properties Are Consistent with Teleological Design Principles |
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100 | (19) |
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Commentary: Analysis of Nonlinear Neuromuscular Properties---Teleology or Ideology? |
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112 | (2) |
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Commentary: Remarks Regarding the Paradigm of Study of Locomotor Apparatus and Neuromuscular Control of Movement |
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114 | (5) |
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| Section III |
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Creating Neuromusculoskeletal Models |
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119 | (15) |
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System Identification and Neuromuscular Modeling |
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134 | (14) |
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A Reductionist Approach to Creating and Using Neuromusculoskeletal Models |
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148 | (16) |
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Musculoskeletal Systems with Intrinsic and Proprioceptive Feedback |
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164 | (13) |
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| Section IV |
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Neuromechanical Interaction in Cyclic Movements |
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177 | (15) |
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Musculoskeletal Dynamics in Rhythmic Systems: A Comparative Approach to Legged Locomotion |
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192 | (14) |
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Commentary: Cyclic Movements and Adaptive Tissues |
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203 | (3) |
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Biomechanics of Hydroskeletons: Studies of Crawling in the Medicinal Leech |
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206 | (15) |
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Commentary: Biomechanical Studies Clarify Pattern Generator Circuits |
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218 | (3) |
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Simulation of the Spinal Circuits Controlling Swimming Movements in Fish |
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221 | (10) |
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Commentary: Computer-Simulated Models Complement Experimental Investigations of Neuromotor Control in a Simple Vertebrate |
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228 | (3) |
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A Simple Neural Network for the Control of a Six-Legged Walking System |
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231 | (12) |
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Commentary: Are Decentralized or Central Control Systems Implied in the Locomotion? |
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239 | (1) |
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Commentary: Neural Control and Biomechanics in the Locomotion of Insects and Robots |
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240 | (3) |
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Neuromechanical Function of Reflexes During Locomotion |
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243 | (10) |
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Commentary: What Is a Reflex? |
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251 | (2) |
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Fractal Analysis of Human Walking Rhythm |
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253 | (14) |
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Commentary: The Fractal Nature of the Locomotor Rhythm May Be Due to Interactions Between the Brain and the Spinal Pattern Generator |
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263 | (4) |
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| Section V |
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Postural Adaptation for Altered Environments, Tasks, and Intentions |
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267 | (15) |
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Altered Astronaut Performance Following Spaceflight: Control and Modeling Insights |
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282 | (10) |
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Commentary: Altered Astronaut Performance Following Spaceflight---Control and Modeling Insights |
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290 | (2) |
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Adaptive Sensory-Motor Processes Disturb Balance Control After Spaceflight |
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292 | (8) |
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Commentary: Adaptive Sensory-Motor Processes Disturb Balance Control After Spaceflight |
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299 | (1) |
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Neuromuscular Control Strategies in Postural Coordination |
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300 | (17) |
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Commentary: Neuromuscular Control Strategies in Postural Coordination |
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309 | (6) |
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| Section VI |
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Introduction: Neural and Mechanical Contributions to Upper Limb Movement |
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315 | (2) |
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Maps, Modules, and Internal Models in Human Motor Control |
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317 | (8) |
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How Much Coordination Can Be Obtained Without Representing Time? |
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325 | (9) |
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Ferdinando A. Mussa-Ivaldi |
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Augmenting Postural Primitives in Spinal Cord: Dynamic Force-Field Structures Used in Trajectory Generation |
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334 | (13) |
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Learning and Memory Formation of Arm Movements |
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347 | (7) |
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What Do We Plan or Control When We Perform a Voluntary Movement? |
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354 | (9) |
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Simulation of Multijoint Arm Movements |
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363 | (10) |
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Planning of Human Motions: How Simple Must It Be? |
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373 | (9) |
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Biomechanics of Manipulation: Grasping the Task at Hand |
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382 | (8) |
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A Principle of Control of Rapid Multijoint Movements |
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390 | (17) |
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| Section VII |
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Large-Scale Musculoskeletal Systems: Sensorimotor Integration and Optimization |
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407 | (18) |
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Progression of Musculoskeletal Models Toward Large-Scale Cybernetic Myoskeletal Models |
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425 | (15) |
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Commentary: Does Progression of Musculoskeletal Models Toward Large-Scale Cybernetic Models Yield Progress Toward Understanding of Muscle and Human or Animal Movement? |
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437 | (3) |
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Estimation of Movement from Surface EMG Signals Using a Neural Network Model |
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440 | (18) |
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Commentary: What Can We Learn from Artificial Neural Networks About Human Motor Control? |
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454 | (2) |
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Commentary: What's the Use of Black Box Musculoskeletal Models? |
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456 | (2) |
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Study Movement Selection and Synergies via a Synthesized Neuro-Optimization Framework |
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458 | (19) |
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Commentary: Can Neural Networks Teach Us the Way We Learn? |
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474 | (3) |
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Clinical Applications of Musculoskeletal Models in Orthopedics and Rehabilitation |
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477 | (16) |
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Commentary: Comments on Clinical Applications of Musculoskeletal Models in Orthopedics and Rehabilitation |
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488 | (5) |
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| Section VIII |
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Human Performance and Rehabilitation Technologies |
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493 | (23) |
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Rehabilitators, Robots, and Guides: New Tools for Neurological Rehabilitation |
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516 | (19) |
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Commentary: Rehabilitators, Robots, and Guides |
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533 | (2) |
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Nonanalytical Control for Assisting Reaching in Humans with Disabilities |
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535 | (16) |
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Commentary: A Case for Soft Neurofuzzy Controller Interfaces for Humans with Disabilities |
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548 | (3) |
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Soft Computing Techniques for Evaluation and Control of Human Performance |
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551 | (12) |
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Commentary: Soft Computing Techniques for Evaluation and Control of Human Performance |
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562 | (1) |
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563 | (10) |
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Commentary: From Idea to Product |
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570 | (3) |
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| Section IX |
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Movement Synthesis and Regulation in Neuroprostheses |
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573 | (17) |
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Properties of Artificially Stimulated Muscles: Simulation and Experiments |
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590 | (15) |
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Commentary: One Muscle Model for All Applications? |
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601 | (4) |
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605 | (12) |
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Control with Natural Sensors |
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617 | (15) |
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Commentary: Control with Natural Sensors? |
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629 | (3) |
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Control of Rhythmic Movements Using FNS |
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632 | (13) |
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641 | (4) |
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| Section X |
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| Appendix 1 Morphological Data for the Development of Musculoskeletal Models: An Update |
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645 | (14) |
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| Appendix 2 Move3d Software |
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659 | (2) |
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| Appendix 3 Simulation of an Antagonistic Muscle Model in Matlab |
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661 | (2) |
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| Appendix 4 SPACAR: A Finite-Element Software Package for Musculoskeletal Modeling |
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663 | (2) |
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| Appendix 5 DataMonster |
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665 | (2) |
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| Index |
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Other versions by this Author