Objective
The neural representation of the physical world is an often deliberated concept whose concrete rules still elude our understanding. Behavioral responses must be generated from a myriad of different stimulus combinations, but it is still not clear which factors contribute to the brain’s ability to target small cell populations for distinctive stimuli, and reliably route a signal to its appropriate targets. Previous work has made considerable progress on the sub ject of stable propagation of temporally and rate encoded signals in neuronal networks. However, simple signal propagation does not suffice to explain cortical processing because at any given instant most stimuli are ignored, not propagated, and signal paths have to change dynamically with the task at hand. I have recently shown that rate encoded signals can be turned on or off by a mechanism called detailed balance, making it a very good candidate to control functional connectivity in neuronal networks. I want to implement this mechanism in large networks to unite or separate multiple simultaneous signal streams to filter and propagate task-specific information. The often talked-about cocktail party problem, in which a listener must gather a single multi-faceted signal from a rich and noisy background, is an intuitive example of such a task and should be generally solvable by the networks we will implement. The results will, for the first time, give rise to a canonical, generally applicable yet stimulus specific processing circuit in cortical networks. This will be of tremendous help for the experimentally complex task of observing real signal processing and provide for a platform for the discussion of dynamic cortical processing.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
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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-2010-RG
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
1015 LAUSANNE
Switzerland
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.