Obiettivo Planning and mental simulation of actions and outcomes are a major cognitive trait of humans. We predict action consequences and perform goal-directed actions in proactive, forward-looking ways. By contrast, systems that lack predictive planning are reactive and dominated by reflex-like, cumbersome behaviors. Most currently existing brain-machine-interfaces (BMI) fall into this category. Plan4Act sets out to go beyond this by inferring actions from action-predicting neural activity of complex action sequences. Neurophysiology in non-human primates recently revealed that such encoding is far more widespread than previously thought. The goal of the Plan4Act project is to record and understand predictive neural activity and use it to proactively control devices in a smart house. The far-future vision behind this is to endow motor-impaired patients with the ability to plan a daily-life goal – like making coffee – and achieve it without having to invoke one by one every single individual action to reach this goal. To approach this complex problem, we record multi-unit action predicting activity in macaques (WP1), model this by adaptive neural networks (WP2), design therefrom an embedded (FPGA-based) controller (WP3), and interface it with a smart house (WP4) to control action sequences with a clear look-ahead property. The main outcome of this project is a system that integrates the above components at TRL4 for which we quantify improved reaction speed and robustness of this type of proactive BMI control. The understanding and use of predictive neural signals for machine control is novel and methods, algorithms, and hardware developed to translate predictive planning from neural activity to technology create the major general impact of this project. Potential translational and commercial interests will be assessed by our industrial partner, where specifically the embedded controller and its smart house interface are expected to create near-future commercial impact, too. Campo scientifico engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemshome automationnatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programma(i) H2020-EU.1.2. - EXCELLENT SCIENCE - Future and Emerging Technologies (FET) Main Programme H2020-EU.1.2.2. - FET Proactive Argomento(i) FETPROACT-01-2016 - FET Proactive: emerging themes and communities Invito a presentare proposte H2020-FETPROACT-2016-2017 Vedi altri progetti per questo bando Bando secondario FETPROACT-2016 Meccanismo di finanziamento RIA - Research and Innovation action Coordinatore GEORG-AUGUST-UNIVERSITAT GOTTINGEN STIFTUNG OFFENTLICHEN RECHTS Contribution nette de l'UE € 1 249 687,50 Indirizzo WILHELMSPLATZ 1 37073 Gottingen Germania Mostra sulla mappa Regione Niedersachsen Braunschweig Göttingen Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 1 249 687,50 Partecipanti (4) Classifica in ordine alfabetico Classifica per Contributo netto dell'UE Espandi tutto Riduci tutto DEUTSCHES PRIMATENZENTRUM GMBH Germania Contribution nette de l'UE € 925 000,00 Indirizzo KELLNERWEG 4 37077 Gottingen Mostra sulla mappa Regione Niedersachsen Braunschweig Göttingen Tipo di attività Research Organisations Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 925 000,00 SYDDANSK UNIVERSITET Danimarca Contribution nette de l'UE € 924 625,00 Indirizzo CAMPUSVEJ 55 5230 Odense M Mostra sulla mappa Regione Danmark Syddanmark Fyn Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 924 625,00 UNIVERSIDAD POLITECNICA DE MADRID Spagna Contribution nette de l'UE € 749 687,50 Indirizzo CALLE RAMIRO DE MAEZTU 7 EDIFICIO RECTORADO 28040 Madrid Mostra sulla mappa Regione Comunidad de Madrid Comunidad de Madrid Madrid Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 749 687,50 MYSPHERA SL Spagna Contribution nette de l'UE € 387 000,00 Indirizzo RONDA AUGUSTE Y LOUIS LUMIERE 23 NAVE 13 PARQUE TECNOLOGICO VALENCIA 46980 Paterna Mostra sulla mappa PMI L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione. Sì Regione Este Comunitat Valenciana Valencia/València Tipo di attività Private for-profit entities (excluding Higher or Secondary Education Establishments) Collegamenti Contatta l’organizzazione Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 387 000,00
