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Progress in Motor Control

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Cover of 'Progress in Motor Control'

Table of Contents

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    Book Overview
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    Chapter 1 Modularity for Motor Control and Motor Learning
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    Chapter 2 Synergies in Grasping
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    Chapter 3 Encoding Temporal Features of Skilled Movements—What, Whether and How?
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    Chapter 4 Predictability and Robustness in the Manipulation of Dynamically Complex Objects
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    Chapter 5 Fifty Years of Physics of Living Systems
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    Chapter 6 The Relationship Between Postural and Movement Stability
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    Chapter 7 Principles of Motor Recovery After Neurological Injury Based on a Motor Control Theory
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    Chapter 8 What Do TMS-Evoked Motor Potentials Tell Us About Motor Learning?
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    Chapter 9 Motor Control of Human Spinal Cord Disconnected from the Brain and Under External Movement
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    Chapter 10 Anticipation in Object Manipulation: Behavioral and Neural Correlates
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    Chapter 11 Brain Plasticity and the Concept of Metaplasticity in Skilled Musicians
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    Chapter 12 The Coordination Dynamics of Observational Learning: Relative Motion Direction and Relative Phase as Informational Content Linking Action-Perception to Action-Production
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    Chapter 13 Rethinking the Study of Volition for Clinical Use
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    Chapter 14 Motor Lateralization Provides a Foundation for Predicting and Treating Non-paretic Arm Motor Deficits in Stroke
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    Chapter 15 Control of Cycling Limb Movements: Aspects for Rehabilitation
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    Chapter 16 Impaired Voluntary Movement Control and Its Rehabilitation in Cerebral Palsy
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    Chapter 17 Can Motor Recovery in Stroke Be Improved by Non-invasive Brain Stimulation?
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    Chapter 18 Organizing and Reorganizing Coordination Patterns
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    Chapter 19 A Computational Index to Describe Slacking During Robot Therapy
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    Chapter 20 Toward a Proprioceptive Neural Interface that Mimics Natural Cortical Activity
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    Chapter 21 Erratum to: Progress in Motor Control
Attention for Chapter 18: Organizing and Reorganizing Coordination Patterns
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Chapter title
Organizing and Reorganizing Coordination Patterns
Chapter number 18
Book title
Progress in Motor Control
Published in
Advances in experimental medicine and biology, December 2016
DOI 10.1007/978-3-319-47313-0_18
Pubmed ID
Book ISBNs
978-3-31-947312-3, 978-3-31-947313-0
Authors

Rajiv Ranganathan, Robert A. Scheidt

Editors

Jozsef Laczko, Mark L. Latash

Abstract

Understanding how the nervous system learns to coordinate the large number of degrees of freedom in the body to produce goal-directed movement is not only one of the central questions in theoretical movement neuroscience, but also has direct relevance for movement rehabilitation. In spite of the centrality of this issue, the literature on how a new coordination pattern is acquired and refined when first learning a novel task remains surprisingly small relative to studies that focus on modifications of already well-learned coordination patterns. In this chapter, we outline some of the reasons behind why the study of coordination continues to pose a serious challenge for movement neuroscience, particularly when it comes to systematically studying and testing hypotheses on how new coordination patterns are organized and reorganized with practice. We then describe a novel experimental paradigm-the body-machine interface (BoMI)-that has been developed and used over the last decade to examine this issue. The paradigm combines the control of a large number of degrees of freedom along with a linear mapping, which makes it appealing to examine how coordination of these high degrees of freedom is organized in a systematic fashion. Finally, we outline some of the new insights that this paradigm has provided into classic issues of motor learning such as the learning of high-dimensional spaces, generalization, and transfer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 36%
Student > Ph. D. Student 2 14%
Professor 1 7%
Student > Master 1 7%
Other 1 7%
Other 0 0%
Unknown 4 29%
Readers by discipline Count As %
Engineering 4 29%
Neuroscience 2 14%
Social Sciences 1 7%
Agricultural and Biological Sciences 1 7%
Psychology 1 7%
Other 1 7%
Unknown 4 29%