Objective
Complex systems of interest in contemporary science and technology can often be viewed as networks of interacting subsystems or subnetworks. In the simplest, and so far most studied cases, subnetworks all run on the same clock, are updated simultaneously, and dynamics is governed by a fixed set of dynamical equations. In biology, especially neuroscience, and technology, for example large distributed systems, these assumptions often do not hold: components may run on different clocks, there may be switching between between different sets of network dynamical equations and, most significantly, components of the network may run independently of the rest of the network for periods of time. We say networks of this type are asynchronous. The project will develop a theory of dynamics on adaptive asynchronous networks with a focus on finding conditions imply predictability and functionality of the network, notably the avoidance of deadlock and race conditions. Methods will use techniques from the statistical theory of dynamical systems, networks, and stochastic analysis as well as ideas coming from correlation based learning and computational neuroscience. Among many applications, we remark the potential for significantly improved understanding of large distributed networks (both technological and biological), as well as dynamical system based models for qualitative computing, learning and pattern recognition.
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.
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.
- natural sciences mathematics applied mathematics dynamical systems
- natural sciences computer and information sciences artificial intelligence pattern recognition
- natural sciences biological sciences neurobiology computational neuroscience
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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.
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.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-PEOPLE-2013-IIF
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.
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.
Coordinator
SW7 2AZ LONDON
United Kingdom
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.