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Content archived on 2024-06-18

Neural Engineering Transformative Technologies

Objective

Neural Engineering is an inherently new discipline that coalesces engineering, physics and neuroscience for the design and development of brain–computer interface systems, cognitive computers and neural prosthetics. For the implementation of future transformative technologies a new breed of young researchers must be trained to integrate ideas and skills from a broad range of disciplines.

NETT is composed of seven full network partners and ten associated partners including one international industrial company and eight SMEs. NETT will provide a European focus for the development of those aspects of Complexity Science most relevant to Neural Engineering, and ensure that we do not fall behind research in the US and Japan. We have identified some of the key challenges in this field and designed a set of inter-related multi-disciplinary projects that, by combining the skills of NETT members will generate transformative technologies such as novel speech recognisers, neural- inspired laser networks for information processing and robots with
cognitive skills.

To address key priority areas of FP7 in multi-disciplinary research, NETT will train ESRs and ERs using a structured, industry-focussed selection of training courses, with leading expertise in mathematics, physics, neuroscience and bioengineering from academia and the private sector. Each ESR will benefit from a secondment to another host country and an internship with an associated partner on problems of genuine real-world relevance. In this way ESRs will acquire a unique set of essential multi-disciplinary skills that will enhance research activity in the ERA and improve their career perspectives in both the public and private sectors.

NETT is thus a Marie-Curie ITN whose activities are designed to benefit the development of transformative technologies that could not be developed in isolation, and simultaneously maximise the use of shared resources and facilities for both training and research.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-PEOPLE-2011-ITN
See other projects for this call

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MC-ITN - Networks for Initial Training (ITN)

Coordinator

THE UNIVERSITY OF NOTTINGHAM
EU contribution
€ 1 038 528,99
Address
University Park
NG7 2RD Nottingham
United Kingdom

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Region
East Midlands (England) Derbyshire and Nottinghamshire Nottingham
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (6)

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