Objective
The team project is to identify the neural mechanisms that form our internal belief systems, and to learn how optimal strategies and decisions are generated in an unpredictable and ever changing world. To do so we will integrate complementary computation al neuroscience approaches. The first studies neurons and neural networks as biophysical entities, concentrating on mathematically describing their dynamical properties. We will integrate it with efforts to infer what is the computational role of neurons a nd neural networks. In particular we consider the Bayesian framework that has been very successful for describing human and animal behavior and learning in perceptual and motor domains. It explains how probable perceptual interpretations or expected outcom es of actions can be computed from ambiguous sensory data and prior knowledge about the likelihood of events. Despite the logical attractiveness of such probabilistic computations, their neural basis remains largely unexplained. We shall consider that comp utations at the single cell, network and brain level can be described as Bayesian inference and learning in progressively more complex statistical models. Thus, the most exquisite aspects of single neurons and synaptic dynamic might have a direct behaviora l correlate. The originality of our approach is to provide both a novel canonical model to describe the complex dynamics of neurons and synapses, and a new theory of neural coding, thus bridging the gap between levels of analyses traditionally considered a s distinct. We will use analytical tools and computer simulations, combining expertise in neuroscience, physics and machine learning. The ensuing models will be tested against the important body of pre-existing literature in experimental neuroscience. Our approach will further generate specific predictions that will be tested in collaboration with experimental laboratories in Europe and the US; industrial and medical implications shall be explored.
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 mathematics applied mathematics statistics and probability bayesian statistics
- natural sciences computer and information sciences artificial intelligence machine learning reinforcement learning
- natural sciences biological sciences biological behavioural sciences ethology
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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.
FP6-2004-MOBILITY-8
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
PARIS
France
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.