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Fast Analog Computing with Emergent Transient States - Initial Training Network (FACETS-ITN)

Fast Analog Computing with Emergent Transient States - Initial Training Network (FACETS-ITN)

Objective

FACETS-ITN is a research and training network involving partners from 11 universities and research centres, 3 industrial companies and 1 semi-industrial research centre from 6 European countries. It combines competencies in neurobiology, computational neuroscience, information science, physics and electrical engineering. The scientific goal is to experimentally and theoretically explore the structure and the computational principles of biological neural circuits using in-vitro and in-vivo neurobiological experiments as well as analytical approaches, model building and simulation techniques. The concepts of learning and plasticity will be of particular importance. Based on the input from biology and modelling it is expected to prepare the grounds for novel hardware based computing devices that make use of such principles. Such devices will be built and operated in the form of large scale demonstrators as part of the research plan. Within the training network 21 selected Ph.D. students will be integrated into an existing international research environment and receive a strongly interdisciplinary training. The training comprises an intense exchange and visiting programme, specific training workshops for all scientific areas covered as well as in non-scientific key competencies.. This training concept will enhance their original academic education in order to cope with the challenges of this diverse international research environment. The proposed training programme will be closely coupled to existing research projects as well as graduate programmes of participating universities. It will create a sustained infrastructure based on web-based learning as well as on scientific interdisciplinary networks and the intersectional exchange with industry. The community building among Ph.D. students from different disciplines will include students from other projects, in particular the current FACETS integrated project and its planned successor.
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Coordinator

RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG

Address

Seminarstrasse 2
69117 Heidelberg

Germany

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 502 701

Administrative Contact

Björn Kindler (Dr.)

Participants (13)

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DEBRECENI EGYETEM

Hungary

EU Contribution

€ 145 845

INSTITUT POLYTECHNIQUE DE BORDEAUX

France

EU Contribution

€ 198 752

TECHNISCHE UNIVERSITAET DRESDEN

Germany

EU Contribution

€ 194 702

ALBERT-LUDWIGS-UNIVERSITAET FREIBURG

Germany

EU Contribution

€ 391 606

TECHNISCHE UNIVERSITAET GRAZ

Austria

EU Contribution

€ 393 561

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE

Switzerland

EU Contribution

€ 432 926

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France

EU Contribution

€ 824 709

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 194 702

IDT EUROPE GMBH

Germany

EU Contribution

€ 391 605

Silicann Technologies GmbH

Germany

Honda Research Institute Europe GmbH

Germany

EU Contribution

€ 194 702

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

EU Contribution

€ 399 704

KUNGLIGA TEKNISKA HOEGSKOLAN

Sweden

EU Contribution

€ 412 264

Project information

Grant agreement ID: 237955

Status

Closed project

  • Start date

    1 September 2009

  • End date

    31 August 2013

Funded under:

FP7-PEOPLE

  • Overall budget:

    € 4 677 779

  • EU contribution

    € 4 677 779

Coordinated by:

RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG

Germany