Neuromechanics and Control of Physical Behavior: from Experimental and Computational Formulations to Bio-inspired Technologies

142.7K

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79

authors

23

articles

Neuromechanics and Control of Physical Behavior: from Experimental and Computational Formulations to Bio-inspired Technologies

142.7K

views

79

authors

23

articles

Editorial

19 March 2019

Editorial: Neuromechanics and Control of Physical Behavior: From Experimental and Computational Formulations to Bio-inspired Technologies

Manish Sreenivasa

,

Francisco J. Valero-Cuevas

,

Matthew Tresch

,

Yoshihiko Nakamura

, 1 more and

Massimo Sartori

4,452 views

19 citations

Editors

6

Massimo Sartori

University of Twente

Manish Sreenivasa

University of Wollongong

Alfred C. Schouten

Delft University of Technology

Northwestern University

Yoshihiko Nakamura

The University of Tokyo

Francisco J Valero-Cuevas

University of Southern California

Impact

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About

The term "neuromechanics" defines an integrative approach that combines the neuromuscular control and the biomechanical aspects of physical behavior in humans and animals. Crucial to this approach is a detailed description and modeling of the interaction between the nervous system and the controlled biomechanical plant. Only then do we have the broader context within which to understand evolution, movement mechanics, neural control, energetics, disability and rehabilitation.

In addition to enabling new basic science directions, understanding the interrelations between movement neural and mechanical function should also be leveraged for the development of personalized wearable technologies to augment or restore the motor capabilities of healthy or impaired individuals. Similarly, this understanding will empower us to revisit current approaches to the design and control of robotic and humanoid systems to produce truly versatile human-like physical behavior and adaptation in real-world environments.

This Research Topic is therefore poised at an opportune moment to promote understanding of apparently disparate topics into a coherent focus including (but not limited to):

- Computational and systems modeling of neuromuscular control

- System identification of neuro-muscular parameters

- Neuromuscular control via populations of spiking neurons

- Muscle synergies of neural and biomechanical origin

- Efferent and afferent neuromuscular pathways

- Recordings in the nervous system in the context of physical behavior

- Propriospinal control of multi-muscle, multi-joint limbs

- Neuromechanical models for rehabilitation and augmentation technologies

- Human-machine interfaces for assistance, rehabilitation and augmentation

- Neuromimetic/neuromorphic assistive and humanoid robots

- Biomimetic design and control of artificial limbs

- Cognitive processes and sensorimotor control in the context of the biomechanical apparatus

The term "neuromechanics" defines an integrative approach that combines the neuromuscular control and the biomechanical aspects of physical behavior in humans and animals. Crucial to this approach is a detailed description and modeling of the interaction between the nervous system and the controlled biomechanical plant. Only then do we have the broader context within which to understand evolution, movement mechanics, neural control, energetics, disability and rehabilitation.

In addition to enabling new basic science directions, understanding the interrelations between movement neural and mechanical function should also be leveraged for the development of personalized wearable technologies to augment or restore the motor capabilities of healthy or impaired individuals. Similarly, this understanding will empower us to revisit current approaches to the design and control of robotic and humanoid systems to produce truly versatile human-like physical behavior and adaptation in real-world environments.

This Research Topic is therefore poised at an opportune moment to promote understanding of apparently disparate topics into a coherent focus including (but not limited to):

- Computational and systems modeling of neuromuscular control

- System identification of neuro-muscular parameters

- Neuromuscular control via populations of spiking neurons

- Muscle synergies of neural and biomechanical origin

- Efferent and afferent neuromuscular pathways

- Recordings in the nervous system in the context of physical behavior

- Propriospinal control of multi-muscle, multi-joint limbs

- Neuromechanical models for rehabilitation and augmentation technologies

- Human-machine interfaces for assistance, rehabilitation and augmentation

- Neuromimetic/neuromorphic assistive and humanoid robots

- Biomimetic design and control of artificial limbs

- Cognitive processes and sensorimotor control in the context of the biomechanical apparatus

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Editors

Massimo Sartori

University of Twente

Manish Sreenivasa

University of Wollongong

Alfred C. Schouten

Delft University of Technology

Northwestern University

Yoshihiko Nakamura

The University of Tokyo

Francisco J Valero-Cuevas

University of Southern California

Impact

142,679 Total views

108,414 Article views

26,607 Article downloads

7,658 Topic views

Published In

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Frontiers in Computational Neuroscience

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Frontiers in Neurorobotics

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