OPT

Optimality Principles in Human Motor Control

Coordinatore	STICHTING VU-VUMC    more  Organization address address: DE BOELELAAN 1105 city: AMSTERDAM postcode: 1081 HV contact info Titolo: Mr. Nome: Rob Cognome: Vermist Email: send email Telefono: +31 20 59 88824
Nazionalità Coordinatore	Netherlands [NL]
Totale costo	75˙000 €
EC contributo	75˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2011-CIG
Funding Scheme	MC-CIG
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-04-01   -   2015-03-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	STICHTING VU-VUMC  Organization address address: DE BOELELAAN 1105 city: AMSTERDAM postcode: 1081 HV contact info Titolo: Mr. Nome: Rob Cognome: Vermist Email: send email Telefono: +31 20 59 88824	NL (AMSTERDAM)	coordinator	75˙000.00
2	VERENIGING VOOR CHRISTELIJK HOGER ONDERWIJS WETENSCHAPPELIJK ONDERZOEK EN PATIENTENZORG  Organization address address: De Boelelaan 1105 city: AMSTERDAM postcode: 1081 HV contact info Titolo: Prof. Nome: Jeroen Cognome: Smeets Email: send email Telefono: +31 20 59 82000	NL (AMSTERDAM)	participant	0.00

Mappa

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 Obiettivo del progetto (Objective)

'Understanding how the brain controls even the simplest movement is a major challenge due to the bewildering complexity of the sensorimotor and musculoskeletal system. For example, the large number of joints and muscles provide the human musculoskeletal system with numerous degrees of freedom. As such, any motor task can be achieved via an infinite number of different muscle activation patterns. Yet, experimental studies show very consistent and stereotypical patterns of kinematics and muscle activation. Furthermore, to adequately control and execute movements, the brain needs accurate information about the state of the musculoskeletal system and about (its relationship with) the world around it. The brain receives information from the many sensory systems in the human body. However, this information is corrupted with noise that is inherent to processes in any biological (nervous) system.

The proposed research is aimed at testing two influential theories in human sensorimotor control – ‘Optimal Control Theory’ and ‘The Uncontrolled Manifold Theory’- that try to explain how the brain deals with the many degrees of freedom. This will be done through a combination of computer simulations with a state-of-the-art neuro-musculoskeletal model of the human arm and new experimental designs using a unique exoskeleton robot. Furthermore, Bayesian Decision Theory has a great amount of success in explaining various phenomena in sensory-motor neuroscience. In the proposed research, this theory will be integrated with Optimal Control in combination with a detailed model of the neuromuscular plant. Specific predictions will be tested using a novel experimental design.'