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Book ChapterDOI

Musculoskeletal Systems with Intrinsic and Proprioceptive Feedback

Frans C. T. van der Helm, +1 more
- pp 164-174
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TLDR
It is likely that the CNS takes advantage of, or at least takes into account, nonlinear dynamic features of the musculoskeletal system resulting from multiple degree-of-freedom joints, ligaments, muscles, but also kinematic and actuator redundancy.
Abstract
The Central Nervous System is unique in its capacity to control a wide variety of tasks, ranging from standing, walking, and jumping to fine motor tasks, such as grasping and manipulating. Typically, the actions of a controller require knowledge about the system to be controlled. It is likely that the CNS takes advantage of, or at least takes into account, nonlinear dynamic features of the musculoskeletal system resulting from multiple degree-of-freedom joints, ligaments, muscles, but also kinematic and actuator redundancy.

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Citations
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Journal ArticleDOI

The Role of Execution Noise in Movement Variability

TL;DR: The results suggest that execution noise accounts for at least a large proportion of movement variability, and a combination of both signal-dependent and signal-independent noise in the amplitude of the motor commands and temporal noise in their duration can explain the observed variability.
Book Chapter

Computational motor control

TL;DR: This goal is to demonstrate how specific models emerging from the computational approach provide a theoretical framework for movement neuroscience.
Journal ArticleDOI

Computational Motor Control: Redundancy and Invariance

TL;DR: Simulations showed that the proposed model can quantitatively reproduce characteristic features of pointing and grasping movements in 3D space, i.e., trajectory, velocity profile, and final posture, and suggest that motor control could be explained in terms of a limited set of computational principles.
Journal ArticleDOI

Positive force feedback in bouncing gaits

TL;DR: In this article, the potential involvement of afferent information from muscle receptors (muscle spindles, Golgi tendon organs) is investigated using a two-segment leg model with one extensor muscle.

Positive force feedback in bouncing gates

TL;DR: It is suggested that, during the stance phase of bouncing tasks, the reflex–generated motor control based on feedbacks might be an efficient and reliable alternative to central motor commands.
References
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Journal Article

Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control

TL;DR: Their integrated ability to generate force statically and dynamically is studied by formulating a generic model of the "musculotendon actuator", which has only one parameter, the ratio of tendon length at rest to muscle fiberlength at rest.
Journal ArticleDOI

Neural, mechanical, and geometric factors subserving arm posture in humans

TL;DR: A new experimental method to measure and represent the field of elastic forces associated with posture of the hand in the horizontal plane found that the shape and orientation of the stiffness were invariant over subjects and over time.
Journal ArticleDOI

Analysis of Fundamental Human Movement Patterns Through the Use of In-Depth Antagonistic Muscle Models

TL;DR: A nonlinear eighth-order agonist-antagonist muscle model is identified, based on engineering analysis and design criteria, as the desired structure for the broad-range study of a variety of fundamental human joint movements as mentioned in this paper.
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