Objective
Research objectives and content
The objective is to study, analytically and numerically, the dynamical behaviour of a model of those brain regions thought to perform (reinforcement) learning. We are interested in how this system can develop memory traces and represent the expectation of reward. We aim to develop an abstract and a detailed model that closely follows the experimental data and can predict the activity patterns in the brain during learning. To test this, experiments for functional Magnetic Resonance Imaging will be developed.
Training content (objective, benefit and expected impact)
The candidate learns analytic tools from dynamical systems analysis to study a complex biological system. He will also learn numerical analysis of complex and more biologically realistic systems. The collaboration with the Institute of Psychiatry will greatly benefit the candidate's knowledge of experimental neuroscience, particularly with respect to fMRI. This combination of analysis, simulation and devising experiments for the new imaging tools, is expected to play a major role in neuroscientific research in the years to come.
Links with industry / industrial relevance (22)
The results of the project will provide input to project MAX (with British Telecom) about how autonomous agents can learn efficiently from their environment. Such autonomous agents are being developed for tasks varying from information gathering on the Internet to underground cable repair.
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: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences neurobiology
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences artificial intelligence machine learning reinforcement learning
- natural sciences mathematics applied mathematics dynamical systems
- natural sciences mathematics applied mathematics numerical analysis
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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.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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
WC2R 2LS 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.