Human Brain Project's Research Platforms Released

© Keystone

© Keystone

Public Release of Platforms Will Help Advance Collaborative Research in Neuroscience, Medicine, and Computing

The Human Brain Project (HBP) is pleased to announce the release of initial versions of its six Information and Communications Technology (ICT) Platforms to users outside the Project. These Platforms are designed to help the scientific community to accelerate progress in neuroscience, medicine, and computing.

The Platforms released today consist of prototype hardware, software tools, databases and programming interfaces, which will be refined and expanded in a collaborative approach with users, and integrated within the framework of a European Research Infrastructure. The public release of the Platforms represents the end of the Ramp-Up Phase of the HBP and the beginning of the Operational Phase.

Karlheinz Meier, Co-leader of the Neuromorphic Platform, said, “The HBP invites scientists everywhere to work with our prototype Platforms and give us their feedback. This will help us improve their functionality and ease of use, and hence their value to society”.

The HBP Platforms are designed to help researchers to advance faster and more efficiently, by sharing data and results, and exploiting advanced ICT capabilities. The Platforms should, for example, enable closer collaboration between scientists to create more detailed models and simulations of the brain. A first step in opening up the Platforms to the wider scientific community has already been taken, through the funding of the first HBP Partnering Projects via the EU’s FLAG-ERA 2015 Joint Transnational Call.

The six HBP Platforms are:

• The Neuroinformatics Platform: registration, search, analysis of neuroscience data.
• The Brain Simulation Platform: reconstruction and simulation of the brain.
• The High Performance Computing Platform: computing and storage facilities to run complex simulations and analyse large data sets.
• The Medical Informatics Platform: searching of real patient data to understand similarities and differences among brain diseases.
• The Neuromorphic Computing Platform: access to computer systems that emulate brain microcircuits and apply principles similar to the way the brain learns.
• The Neurorobotics Platform: testing of virtual models of the brain by connecting them to simulated robot bodies and environments.

All the Platforms can be accessed via the HBP Collaboratory, a web portal where users can also find guidelines, tutorials and information on training seminars. Please note that users will need to register to access the Platforms and that some of the Platform resources have capacity limits.


- General HBP queries
Lionel Pousaz, [email protected], +41 21 69 35227+41 21 69 35227

- Neuroinformatics Platform
Karolinska Institutet:
Christina Bostedt, [email protected], +46 (0) 8-524 865 68 +46 (0) 8-524 865 68, +46 (0) 70-303 56 11 +46 (0) 70-303 56 11 (Mobile)

- Brain Simulation Platform
Peter Larsson, [email protected], +46 76 050 69 60
Lionel Pousaz, [email protected], +41 21 69 35227

- High Performance Computing Platform
Forschungszentrum Jülich:
Annette Stettien, [email protected], +49 2461 61-2388 or 8031
Erhard Zeiss, [email protected], +49 2461 61-1841 +49 2461 61-1841

ETH Zürich (CSCS):
Michele di Lorenzo, [email protected], +41 91 610 8208
Colin McMurtie, [email protected]

- Medical Informatics Platform
Nicolas Liechti, [email protected], +41 21 314 14 06

- Neuromorphic Computing Platform
Ruprecht-Karls-Universität Heidelberg:
Ute Müller-Detert, [email protected], +49 6221 54-19017

University of Manchester:
Joe Paxton, [email protected], +44 (0) 161 275 8155, +44 (0) 7823537670
James Tallentire, [email protected], +44 (0) 161 306 5903

+41 91 610 8208

- Neurorobotics Platform
Technische Universität München:
Ulrich Marsch, [email protected], +49 89 289 22779
Lionel Pousaz, [email protected], +41 21 69 35227

Author: Human Brain Project

Source: EPFL

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© 2016 EPFL
© 2016 EPFL
© 2016 EPFL
© 2016 EPFL
© 2016 EPFL
© 2016 EPFL
© 2016 EPFL
© 2016 EPFL

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