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Novel Brain-Inspired Learning Paradigms for  Large-Scale Neuronal Networks

Novel Brain-Inspired Learning Paradigms for Large-Scale Neuronal Networks

Objective

Current designs of neurally inspired computing systems rely on learning rules that appear to be insufficient to port the superior adaptive and computational capabilities of biological neural systems into large-scale recurrent neural hardware system. This is not surprising, since most of these learning rules had to be extrapolated from results of neurobiological experiments in vitro. New experimental techniques in neurobiology - such as 2-photon laser-scanning microscopy, optogenetic cell activation, and dynamic clamp techniques - make it now possible to record the changes that really take place in the intact brain during learning. First results indicate that the rules for synaptic plasticity have in fact to be rewritten. In particular, it appears that local synaptic plasticity is gated in multiple ways by global factors such as neuromodulators and network states. One primary goal of this project is to apply and extend new cutting-edge experimental techniques to produce a set of rules for synaptic plasticity and network reorganisation that describe the actual adaptive processes that take place in the living brain during learning.These new rules will be analysed by computational neuroscience experts and their consequences for learning in simulated large-scale networks of neurons and neurally inspired computing systems will be ascertained. The goal of this project is to port essential aspects of learning in the intact brain into current and next-generation neuromorphic hardware. New interchangeable software tools, that have recently been developed in the FP6 project FACETS, will be employed to carry out these investigations. Open questions that arise in these modelling studies will be addressed by changes in experimental protocols of the neuroscientists, building on long standing interdisciplinary collaborations among the partners.
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Coordinator

TECHNISCHE UNIVERSITAET GRAZ

Address

Rechbauerstrasse 12
8010 Graz

Austria

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 370 453

Administrative Contact

Daniela Potzinger (Ms.)

Participants (6)

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ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING MCGILL UNIVERSITY

Canada

EU Contribution

€ 173 296

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE

Switzerland

EU Contribution

€ 260 736

UNIVERSITAT ZURICH

Switzerland

EU Contribution

€ 428 956

RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG

Germany

EU Contribution

€ 206 375

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS

France

EU Contribution

€ 432 100

UNIVERSITY COLLEGE LONDON

United Kingdom

EU Contribution

€ 126 492

Project information

Grant agreement ID: 243914

Status

Closed project

  • Start date

    1 January 2010

  • End date

    31 December 2012

Funded under:

FP7-ICT

  • Overall budget:

    € 2 629 554

  • EU contribution

    € 1 998 408

Coordinated by:

TECHNISCHE UNIVERSITAET GRAZ

Austria