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Predictive Neural Information for Proactive Actions: From Monkey Brain to Smart House Control

Objectif

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.

Appel à propositions

H2020-FETPROACT-2016-2017

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Sous appel

FETPROACT-2016

Coordinateur

GEORG-AUGUST-UNIVERSITAT GOTTINGEN STIFTUNG OFFENTLICHEN RECHTS
Contribution nette de l'UE
€ 1 249 687,50
Adresse
Wilhelmsplatz 1
37073 Gottingen
Allemagne

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Région
Niedersachsen Braunschweig Göttingen
Type d’activité
Higher or Secondary Education Establishments
Contribution hors UE
€ 0,00

Participants (4)

DEUTSCHES PRIMATENZENTRUM GMBH
Allemagne
Contribution nette de l'UE
€ 925 000,00
Adresse
Kellnerweg 4
37077 Gottingen

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Région
Niedersachsen Braunschweig Göttingen
Type d’activité
Research Organisations
Contribution hors UE
€ 0,00
SYDDANSK UNIVERSITET
Danemark
Contribution nette de l'UE
€ 924 625,00
Adresse
Campusvej 55
5230 Odense M

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Région
Danmark Syddanmark Fyn
Type d’activité
Higher or Secondary Education Establishments
Contribution hors UE
€ 0,00
UNIVERSIDAD POLITECNICA DE MADRID
Espagne
Contribution nette de l'UE
€ 749 687,50
Adresse
Calle Ramiro De Maeztu 7 Edificio Rectorado
28040 Madrid

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Région
Comunidad de Madrid Comunidad de Madrid Madrid
Type d’activité
Higher or Secondary Education Establishments
Contribution hors UE
€ 0,00
MYSPHERA SL
Espagne
Contribution nette de l'UE
€ 387 000,00
Adresse
Ronda Auguste Y Louis Lumiere 23 Nave 13 Parque Tecnologico Valencia
46980 Paterna

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PME

L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.

Oui
Région
Este Comunitat Valenciana Valencia/València
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Contribution hors UE
€ 0,00