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

Objective

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.
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Coordinator

GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS

Address

Wilhelmsplatz 1
37073 Gottingen

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 249 687,50

Participants (4)

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DEUTSCHES PRIMATENZENTRUM GMBH

Germany

EU Contribution

€ 925 000

SYDDANSK UNIVERSITET

Denmark

EU Contribution

€ 924 625

UNIVERSIDAD POLITECNICA DE MADRID

Spain

EU Contribution

€ 749 687,50

MYSPHERA SL

Spain

EU Contribution

€ 387 000

Project information

Grant agreement ID: 732266

Status

Ongoing project

  • Start date

    1 January 2017

  • End date

    31 December 2020

Funded under:

H2020-EU.1.2.2.

  • Overall budget:

    € 4 236 000

  • EU contribution

    € 4 236 000

Coordinated by:

GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS

Germany