FP7: FET Proactive Intiative: Neuro-Bio-Inspired Systems (NBIS)
NEWS
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FP7 Call 9 website: all info for proposers, including the SPECIFIC: "Guides for Applicants FET PROACTIVE ONLY"
- Call open: 18 January 2012 - CALL CLOSED 17th April 2012
- An Info Day on FP7 Call 9 objectives was held on 18 January 2012 in Brussels.
PRESENTATIONS are available online.
The day provided first-hand information on the Call 9 objectives , as well as contractual, legal and administrative modalities.
The formation of consortia and synergies was facilitated through an open exchange "Proposers' Forum". -
Call 9 PRE-PROPOSAL CHECK closed on 16 March 2012
Pre-proposal check was offered up to four weeks before the close of the call (17 April 2012). -
ICT PROPOSERS' Day - 19-20 May 2011, Budapest (HU)
• Commission presentation on "NBIS" given at the networking session
• "NBIS" Research & Technology offers & demands on ICT Proposers' Day
WHAT IS "Neuro-Bio-Inspired Systems (NBIS)"?
ICT-FP7 Work programme 2011-2012 - Objective ICT-2011.9.11
Brains are remarkable computing systems which clearly outperform conventional architectures in many real-world tasks.
Computational neuroscience has made tremendous progress in uncovering the key principles by which neural systems process information, and ICT has advanced to a point where it is possible to integrate a comparable number of transistors in a VLSI system as neurons in a mammalian brain. Yet we are still unable to build artificial systems with basic "thinking" abilities comparable with even simple insect brains.
Objective
In particular, this objective addresses the need to:
- learn more about the relationship between structure, dynamics and function in neuronal circuits and assemblies, and how information is represented or “coded” in a brain.
- develop deeper and more comprehensive theories of neural processing, possibly building on results obtained in the domains of dynamic and complex systems.
- close the gap between neuroscience and engineering by motivating interdisciplinary work that ties data with theories, novel computing paradigms, models and implementations.
Target outcome
- Developing and applying radically new neural recording, imaging or interfacing concepts and designs for a deeper understanding of neural information processing.
- New multi-scale dynamical theories of neural representation for the development of neuro-bio-ICT systems that can perform high-level tasks (e.g. robust object recognition, or classification), going beyond purely sensory-driven information processing.
- Development and prototyping of modular brain-like computing architectures that combine neural processing primitives to give a better understanding of brain function and facilitate the design of more complex processing systems for real-time and optimized performance.
- World-class global research cooperation and alliances in this area, and links with similar actions outside Europe, in particular with participants from USA and Japan.
IP/STREP proposals should address at least 2 of a), b) or c). CSA proposal should address d).
Expected impact
Target outcome a-c):
- New computing paradigms leading to advanced bio-inspired sensing and processing systems, which are naturally able to learn and adapt
- New concepts leading to new brain-computer interface technologies
- New EU and global collaborations between researchers in multiple disciplines spanning engineering, physical and life science domains
Funding schemes
- a-c): IP, STREP
- d): CSA
Indicative budget
- IP/STREP: € 22 million
- CSA: € 1 million
Extract ICT-FET in the FP7 Work Programme 2011-2012 ( 240KB), including the specific "FET eligibility, evaluation, selection and award criteria.
INDICATIVE TIMETABLE ICT FP7 Call 9
- Call open: 18 January 2012
- Call deadline: 17 April 2012, 17h, Brussels local time
BACKGROUND DOCUMENTS
EVENTS
- ICT PROPOSERS' Day - 19-20 May 2011, Budapest (HU)
• Commission presentation on "NBIS" given at the networking session
• "NBIS" Research & Technology offers & demands on ICT Proposers' Day
RELATED INITIATIVES
- Related Coordination Action: Convergent Science Network of biomimetic and biohybrid systems (CSN)