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Plan4Act SIGNED

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

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

Plan4Act project word cloud

Explore the words cloud of the Plan4Act project. It provides you a very rough idea of what is the project "Plan4Act" about.

understand translate primates behaviors signals speed fall planning macaques mental predictive translational create neurophysiology outcome ahead human commercial motor invoke predict individual controller plan industrial predicting revealed neural impaired proactive category algorithms components contrast record coffee interfaces networks therefrom action vision bmi lack ways property too robustness hardware single sequences look daily trl4 house interests wp1 endow one adaptive reactive directed fpga humans cumbersome clear previously encoding machine proactively plan4act actions model trait cognitive near dominated wp2 wp4 perform integrates reflex life quantify inferring interface reaction outcomes smart patients thought brain wp3 simulation

Project "Plan4Act" data sheet

The following table provides information about the project.

Coordinator	GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS Organization address address: WILHELMSPLATZ 1 city: GOTTINGEN postcode: 37073 website: http://www.uni-goettingen.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	Germany [DE]
Project website	http://plan4act-project.eu/
Total cost	4˙236˙000 €
EC max contribution	4˙236˙000 € (100%)
Programme	1. H2020-EU.1.2.2. (FET Proactive)
Code Call	FETPROACT-2016
Funding Scheme	RIA
Starting year	2017
Duration (year-month-day)	from 2017-01-01 to 2020-12-31

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS Organization address address: WILHELMSPLATZ 1 city: GOTTINGEN postcode: 37073 website: http://www.uni-goettingen.de contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (GOTTINGEN)	coordinator	1˙249˙687.00
2	DEUTSCHES PRIMATENZENTRUM GMBH DEUTSCHES PRIMATENZENTRUM GMBH Organization address address: KELLNERWEG 4 city: GOTTINGEN postcode: 37077 website: http://www.dpz.eu contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DE (GOTTINGEN)	participant	925˙000.00
3	SYDDANSK UNIVERSITET SYDDANSK UNIVERSITET Organization address address: CAMPUSVEJ 55 city: ODENSE M postcode: 5230 website: www.sdu.dk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	DK (ODENSE M)	participant	924˙625.00
4	UNIVERSIDAD POLITECNICA DE MADRID UNIVERSIDAD POLITECNICA DE MADRID Organization address address: CALLE RAMIRO DE MAEZTU 7 EDIFICIO RECTORADO city: MADRID postcode: 28040 website: www.upm.es contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (MADRID)	participant	749˙687.00
5	MYSPHERA SL MYSPHERA SL Organization address address: RONDA AUGUSTE Y LOUIS LUMIERE 23 NAVE 13 PARQUE TECNOLOGICO VALENCIA city: PATERNA postcode: 46980 website: n.a. contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	ES (PATERNA)	participant	387˙000.00

Map

Project 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.

Deliverables

List of deliverables.
Short report and specification data sheet about the implementation of the interfaces for the Smart House.	Documents, reports	2019-11-22 11:57:37
Data sheet of definitions of experimental conditions for the Smart House as depending on the setup and data of WP1.	Documents, reports	2019-11-22 11:57:33
First Report on status of experimental setup (SmartCage), training, behavioral testing, and neural recording.	Documents, reports	2019-11-22 11:57:34
Demonstration of Smart House control using the software controller from WP2 and the Test 1 condition from WP1.	Demonstrators, pilots, prototypes	2019-11-22 11:57:34
Report on behavioral testing and status of recording with SmartCage action sequence planning for Test 1.	Documents, reports	2019-11-22 11:57:40
Report on generic reduced control units for complex action sequence formation.	Documents, reports	2019-11-22 11:57:47
Report on neural network model using the sequential structure to predict the present sequence.	Documents, reports	2019-11-22 11:57:36
Report on neural network model encoding sequences.	Documents, reports	2019-08-30 13:23:47
Report on the status of Smart House devices and interfaces for connecting to the controllers of WP2 and WP3.	Documents, reports	2019-08-30 13:23:47
Website	Websites, patent fillings, videos etc.	2019-08-30 13:23:47
Dissemination strategy and plan.	Documents, reports	2019-08-30 13:23:47
Data Management Plan	Open Research Data Pilot	2019-08-30 13:23:47

Take a look to the deliverables list in detail: detailed list of Plan4Act deliverables.

Publications

List of publications.
year	authors and title	journal	last update
2019	Valentina A. Unakafova, Alexander Gail Comparing Open-Source Toolboxes for Processing and Analysis of Spike and Local Field Potentials Data published pages: , ISSN: 1662-5196, DOI: 10.3389/fninf.2019.00057	Frontiers in Neuroinformatics 13	2019-09-05
2019	Michael Berger, Peter Neumann, Alexander Gail Peri-hand space expands beyond reach in the context of walk-and-reach movements published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-019-39520-8	Scientific Reports 9/1	2019-09-05
2017	Dennis Goldschmidt, Poramate Manoonpong, Sakyasingha Dasgupta A Neurocomputational Model of Goal-Directed Navigation in Insect-Inspired Artificial Agents published pages: , ISSN: 1662-5218, DOI: 10.3389/fnbot.2017.00020	Frontiers in Neurorobotics 11	2019-08-30
2018	Fatemeh Ziaeetabar, Tomas Kulvicius, Minija Tamosiunaite, Florentin WÃ¶rgÃ¶tter Recognition and prediction of manipulation actions using Enriched Semantic Event Chains published pages: 173-188, ISSN: 0921-8890, DOI: 10.1016/j.robot.2018.10.005	Robotics and Autonomous Systems 110	2019-09-05
2019	Juliane Herpich, Christian Tetzlaff Principles underlying the input-dependent formation and organization of memories published pages: 606-634, ISSN: 2472-1751, DOI: 10.1162/netn_a_00086	Network Neuroscience 3/2	2019-09-05
2019	Mathias Thor, Poramate Manoonpong Error-Based Learning Mechanism for Fast Online Adaptation in Robot Motor Control published pages: 1-10, ISSN: 2162-237X, DOI: 10.1109/tnnls.2019.2927737	IEEE Transactions on Neural Networks and Learning Systems	2019-09-05
2019	Florentin WÃ¶rgÃ¶tter, Fatemeh Ziaeetabar, Stefan Pfeiffer, Osman Kaya, Tomas Kulvicius, Minija Tamosiunaite Action Prediction in Humans and Robots published pages: , ISSN: , DOI:		2019-09-05
2019	Nan-Sheng Huang, Jan-Matthias Braun, JÃ¸rgen Christian Larsen, Poramate Manoonpong scalable Echo State Networks hardware generatorfor embedded systems using high-level synthesis published pages: , ISSN: , DOI:	8th Mediterranean Conference on Embedded Computing	2019-09-05
2018	Michael Berger, Alexander Gail The Reach Cage environment for wireless neural recordings during structured goal-directed behavior of unrestrained monkeys published pages: , ISSN: , DOI: 10.1101/305334	bioRxiv	2019-09-05
2018	Taniguchi, Tadahiro; Ugur, Emre; Hoffmann, Matej; Jamone, Lorenzo; Nagai, Takayuki; Rosman, Benjamin; Matsuka, Toshihiko; Iwahashi, Naoto; Oztop, Erhan; Piater, Justus; WÃ¶rgÃ¶tter, Florentin Symbol Emergence in Cognitive Developmental Systems: a Survey published pages: , ISSN: , DOI:	1	2019-09-05
2018	Tadahiro Taniguchi, Emre Ugur, Matej Hoffmann, Lorenzo Jamone, Takayuki Nagai, Benjamin Rosman, Toshihiko Matsuka, Naoto Iwahashi, Erhan Oztop, Justus Piater, Florentin Worgotter Symbol Emergence in Cognitive Developmental Systems: a Survey published pages: 1-1, ISSN: 2379-8920, DOI: 10.1109/tcds.2018.2867772	IEEE Transactions on Cognitive and Developmental Systems	2019-09-05
2019	Mathias Thor, Poramate Manoonpong A Fast Online Frequency Adaptation Mechanism for CPG-Based Robot Motion Control published pages: 3324-3331, ISSN: 2377-3766, DOI: 10.1109/lra.2019.2926660	IEEE Robotics and Automation Letters 4/4	2019-09-05
2019	Janne Lappalainen, Juliane Herpich, Christian Tetzlaff A Theoretical Framework to Derive Simple, Firing-Rate-Dependent Mathematical Models of Synaptic Plasticity published pages: , ISSN: 1662-5188, DOI: 10.3389/fncom.2019.00026	Frontiers in Computational Neuroscience 13	2019-09-05

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