Biologically inspired modelling for the control of the upper limb movements: from concept studies to future applications

Modelling has recently been exploited for gaining knowledge on the mechanisms of motor control. Computational models, simulating the behaviour of complex systems, have often been used in combination with soft computing strategies, thus shifting the rationale of the modelling from the description of...

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Main Authors: Silvia Conforto, Ivan Bernabucci, Giacomo Severini, Maurizio Schmid, Tommaso D'Alessio
Format: Article
Language:English
Published: Frontiers Media S.A. 2009-11-01
Series:Frontiers in Neurorobotics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/neuro.12.003.2009/full
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spelling doaj-cd592406b4ec45ae9c4eb6bdc86f9a9b2020-11-24T22:40:45ZengFrontiers Media S.A.Frontiers in Neurorobotics1662-52182009-11-01310.3389/neuro.12.003.2009838Biologically inspired modelling for the control of the upper limb movements: from concept studies to future applicationsSilvia Conforto0Ivan Bernabucci1Giacomo Severini2Maurizio Schmid3Tommaso D'Alessio4Università degli Studi Roma TreUniversità degli Studi Roma TreUniversità degli Studi Roma TreUniversità degli Studi Roma TreUniversità degli Studi Roma TreModelling has recently been exploited for gaining knowledge on the mechanisms of motor control. Computational models, simulating the behaviour of complex systems, have often been used in combination with soft computing strategies, thus shifting the rationale of the modelling from the description of a behaviour to the understanding of the mechanisms behind it. In this context, computational models are preferred to deterministic schemes because they deal better with complex systems. The literature offers some biological inspired models, which perform better than traditional approaches when dealing with both learning and adaptivity mechanisms. Can these theoretical studies be transferred into an application framework? That is, can biologically inspired models be used to implement rehabilitative devices? Some evidences, even if preliminary, are presented here, and allow an affirmative answer to the previous question, thus opening new perspectives.http://journal.frontiersin.org/Journal/10.3389/neuro.12.003.2009/fullRehabilitationComputational modelsmotor controlbiologically inspired models
collection DOAJ
language English
format Article
sources DOAJ
author Silvia Conforto
Ivan Bernabucci
Giacomo Severini
Maurizio Schmid
Tommaso D'Alessio
spellingShingle Silvia Conforto
Ivan Bernabucci
Giacomo Severini
Maurizio Schmid
Tommaso D'Alessio
Biologically inspired modelling for the control of the upper limb movements: from concept studies to future applications
Frontiers in Neurorobotics
Rehabilitation
Computational models
motor control
biologically inspired models
author_facet Silvia Conforto
Ivan Bernabucci
Giacomo Severini
Maurizio Schmid
Tommaso D'Alessio
author_sort Silvia Conforto
title Biologically inspired modelling for the control of the upper limb movements: from concept studies to future applications
title_short Biologically inspired modelling for the control of the upper limb movements: from concept studies to future applications
title_full Biologically inspired modelling for the control of the upper limb movements: from concept studies to future applications
title_fullStr Biologically inspired modelling for the control of the upper limb movements: from concept studies to future applications
title_full_unstemmed Biologically inspired modelling for the control of the upper limb movements: from concept studies to future applications
title_sort biologically inspired modelling for the control of the upper limb movements: from concept studies to future applications
publisher Frontiers Media S.A.
series Frontiers in Neurorobotics
issn 1662-5218
publishDate 2009-11-01
description Modelling has recently been exploited for gaining knowledge on the mechanisms of motor control. Computational models, simulating the behaviour of complex systems, have often been used in combination with soft computing strategies, thus shifting the rationale of the modelling from the description of a behaviour to the understanding of the mechanisms behind it. In this context, computational models are preferred to deterministic schemes because they deal better with complex systems. The literature offers some biological inspired models, which perform better than traditional approaches when dealing with both learning and adaptivity mechanisms. Can these theoretical studies be transferred into an application framework? That is, can biologically inspired models be used to implement rehabilitative devices? Some evidences, even if preliminary, are presented here, and allow an affirmative answer to the previous question, thus opening new perspectives.
topic Rehabilitation
Computational models
motor control
biologically inspired models
url http://journal.frontiersin.org/Journal/10.3389/neuro.12.003.2009/full
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