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

Objetivo

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.

Convocatoria de propuestas

H2020-FETPROACT-2016-2017

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Convocatoria de subcontratación

FETPROACT-2016

Coordinador

GEORG-AUGUST-UNIVERSITAT GOTTINGEN STIFTUNG OFFENTLICHEN RECHTS
Aportación neta de la UEn
€ 1 249 687,50
Dirección
Wilhelmsplatz 1
37073 Gottingen
Alemania

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Región
Niedersachsen Braunschweig Göttingen
Tipo de actividad
Higher or Secondary Education Establishments
Aportación de fuera de la UE
€ 0,00

Participantes (4)

DEUTSCHES PRIMATENZENTRUM GMBH
Alemania
Aportación neta de la UEn
€ 925 000,00
Dirección
Kellnerweg 4
37077 Gottingen

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Región
Niedersachsen Braunschweig Göttingen
Tipo de actividad
Research Organisations
Aportación de fuera de la UE
€ 0,00
SYDDANSK UNIVERSITET
Dinamarca
Aportación neta de la UEn
€ 924 625,00
Dirección
Campusvej 55
5230 Odense M

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Región
Danmark Syddanmark Fyn
Tipo de actividad
Higher or Secondary Education Establishments
Aportación de fuera de la UE
€ 0,00
UNIVERSIDAD POLITECNICA DE MADRID
España
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€ 749 687,50
Dirección
Calle Ramiro De Maeztu 7 Edificio Rectorado
28040 Madrid

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Región
Comunidad de Madrid Comunidad de Madrid Madrid
Tipo de actividad
Higher or Secondary Education Establishments
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€ 0,00
MYSPHERA SL
España
Aportación neta de la UEn
€ 387 000,00
Dirección
Ronda Auguste Y Louis Lumiere 23 Nave 13 Parque Tecnologico Valencia
46980 Paterna

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Pyme

Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.

Región
Este Comunitat Valenciana Valencia/València
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Aportación de fuera de la UE
€ 0,00