scholarly journals Neuromechanic: A computational platform for simulation and analysis of the neural control of movement

2012 ◽  
Vol 28 (10) ◽  
pp. 1015-1027 ◽  
Author(s):  
Nathan E. Bunderson ◽  
Jeffrey T. Bingham ◽  
M. Hongchul Sohn ◽  
Lena H. Ting ◽  
Thomas J. Burkholder
Keyword(s):  
Neural Control ◽  
Computational Platform ◽  
Neural Control Of Movement

Efference copy in kinesthetic perception: A copy of what is it?

2021 ◽  
Author(s):  
Mark L. Latash
Keyword(s):  
Neural Control ◽  
Efference Copy ◽  
Single Element ◽  
Muscle Vibration ◽  
Sense Of Effort ◽  
Antagonist Muscles ◽  
Co Activation ◽  
Lower Accuracy ◽  
Neural Control Of Movement ◽  
Kinesthetic Perception

A number of notions in the fields of motor control and kinesthetic perception have been used without clear definitions. In this review, we consider definitions for efference copy, percept, and sense of effort based on recent studies within the physical approach, which assumes that the neural control of movement is based on principles of parametric control and involves defining time-varying profiles of spatial referent coordinates for the effectors. The apparent redundancy in both motor and perceptual processes is reconsidered based on the principle of abundance. Abundance of efferent and afferent signals is viewed as the means of stabilizing both salient action characteristics and salient percepts formalized as stable manifolds in high-dimensional spaces of relevant elemental variables. This theoretical scheme has led recently to a number of novel predictions and findings. These include, in particular, lower accuracy in perception of variables produced by elements involved in a multi-element task compared to the same elements in single-element tasks, dissociation between motor and perceptual effects of muscle co-activation, force illusions induced by muscle vibration, and errors in perception of unintentional drifts in performance. Taken together, these results suggest that participation of efferent signals in perception frequently involves distorted copies of actual neural commands, particularly those to antagonist muscles. Sense of effort is associated with such distorted efferent signals. Distortions in efference copy happen spontaneously and can also be caused by changes in sensory signals, e.g., those produced by muscle vibration.

Historical analysis of the neural control of movement from the bedrock of animal experimentation to human studies

2004 ◽  
Vol 96 (4) ◽  
pp. 1478-1485 ◽  
Author(s):  
Peter B. C. Matthews
Keyword(s):  
Neural Control ◽  
Historical Analysis ◽  
Animal Experimentation ◽  
Physical Sciences ◽  
New Techniques ◽  
Magnetic Brain Stimulation ◽  
History Of ◽  
The 19Th Century ◽  
Neural Control Of Movement ◽  
Opening Up

The history of the investigation of the sensorimotor control of movement is outlined from its inception at the beginning of the 19th century. Particular emphasis is placed on the opening up of new possibilities by the development of new techniques, from chronophotography to magnetic brain stimulation, all of which have exploited developments in technology. Extrapolating from history, future advance in physiological understanding can be guaranteed to require seizing the new tools provided by the physical sciences and refining these to our particular need. The ever-present danger is that these are then deployed with triumphal optimism rather than critical doubt and earlier methods either jettisoned prematurely or used incautiously. The new techniques have enabled experimentation to become ever less intrusive, permitting a progressive shift from animal to human work, thereby offering the prospect of an increasing clinical reward.

Closing the Loop: From Motor Neuroscience to Neurorehabilitation

2018 ◽  
Vol 41 (1) ◽  
pp. 415-429 ◽  
Author(s):  
Ryan T. Roemmich ◽  
Amy J. Bastian
Keyword(s):  
Motor Learning ◽  
Neural Control ◽  
Behavioral Studies ◽  
Closing The Loop ◽  
Motor Learning And Control ◽  
Human Motor ◽  
Basic Studies ◽  
The Right ◽  
And Control ◽  
Neural Control Of Movement

The fields of human motor control, motor learning, and neurorehabilitation have long been linked by the intuition that understanding how we move (and learn to move) leads to better rehabilitation. In reality, these fields have remained largely separate. Our knowledge of the neural control of movement has expanded, but principles that can directly impact rehabilitation efficacy remain somewhat sparse. This raises two important questions: What can basic studies of motor learning really tell us about rehabilitation, and are we asking the right questions to improve the lives of patients? This review aims to contextualize recent advances in computational and behavioral studies of human motor learning within the framework of neurorehabilitation. We also discuss our views of the current challenges facing rehabilitation and outline potential clinical applications from recent theoretical and basic studies of motor learning and control.

Neural control of movement synergy

2002 ◽  
Vol 21 (3) ◽  
pp. 1-4
Author(s):  
H Bekkering ◽  
S.F.W Neggers
Keyword(s):  
Neural Control ◽  
Movement Synergy ◽  
Neural Control Of Movement

Interdisciplinary-Integration-Interface: The Past, Present, and Future of Biomechanics

2014 ◽  
Vol 3 (1) ◽  
pp. 19-37
Author(s):  
Robert J. Gregor ◽  
W. Lee Childers ◽  
Mark A. Lyle ◽  
Linda Fetters
Keyword(s):  
Motor Development ◽  
Neural Control ◽  
Performance Enhancement ◽  
Biological Systems ◽  
Neuromuscular Control ◽  
Interface Control ◽  
Body Of Knowledge ◽  
Movement Performance ◽  
Diverse Field ◽  
Neural Control Of Movement

Biomechanics is a diverse field of study founded in a vertically integrated body of knowledge, from cells to behavior, with the goal of understanding the function of biological systems using methods in mechanics. Historically, the field lies in the general domain of science, not to be isolated but well integrated with others focused on the study of movement. Using advances in technology as a conduit, specific examples of collaborative research involving biomechanics, motor development, and neuromuscular control are discussed. Challenges in the study of interface control (i.e., hypotheses focused on the neural control of movement, performance enhancement, and injury prevention) are presented in the context of the intellectual interface required among scientists to gain a new understanding of the function of biological systems.

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