EYEHAND

Eye-hand coordination in space and time

Coordinatore	QUEEN'S UNIVERSITY BELFAST    more  Organization address address: University Road city: BELFAST postcode: BT7 1NN contact info Titolo: Mr. Nome: Rory Cognome: Jordan Email: send email Telefono: +44 2890971161
Nazionalità Coordinatore	United Kingdom [UK]
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-2012-CIG
Funding Scheme	MC-CIG
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-05-01   -   2016-04-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	QUEEN'S UNIVERSITY BELFAST  Organization address address: University Road city: BELFAST postcode: BT7 1NN contact info Titolo: Mr. Nome: Rory Cognome: Jordan Email: send email Telefono: +44 2890971161	UK (BELFAST)	coordinator	75˙000.00

Mappa

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 Obiettivo del progetto (Objective)

'Loss of arm function can have a severe impact on a patient’s life and results in a loss of productivity. As a remedy, scientists are currently developing brain-machine interfaces, which ultimately would allow patients to control a cybernetic arm by thought, through signals recorded from the brain. Even though many basic real-life situations, such as interacting with other people and navigating traffic, require movement coordination in both space and time, surprisingly little is known about how the brain simultaneously controls both these aspects of a movement. This limitation is fueled by the difficulty of extracting signatures of spatial and temporal control from behavioral or neural signals. There is a need for a new paradigm that allows for the systematic examination of interceptive timing and positioning in isolation. In EYEHAND, I will develop and use such a paradigm for in depth investigation – using transcranial magnetic stimulation (TMS) – of the neural basis of eye-hand coordination in space and time. This work will ultimately contribute to neurorehabilitation through improvements of brain machine interfaces and to the development of novel training tasks.'