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Content archived on 2024-05-27

Modeling attentional control in the brain

Objective

Better understanding of attention mechanisms in the brain is feasible through analysing of experimental data from the viewpoint of control theory and computational neural models.

The objectives are:
a) construct an observer framework for attention and from this framework
b) develop its mathematical structure in a neural network environment;
c) simulate present single cell data in monkeys and lower animals to justify the existence of a control module for directing attention;
d) analyse psychophysical data in humans for directed search, attention movement time, pre-cued shift benefits and other attention paradigms;
e) analyse brain imaging human and single cell monkey data, especially on frontal involvement, in movement of attention to determine the involvement of a possible state estimator;
f) extend this framework to briefly relate to saccade control systems;
g) extend the framework to include reward learning (of ACE/ASE/doparnine form).

Fields of science (EuroSciVoc)

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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.

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

IHP-MCIF-99-1
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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.

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Coordinator

KING'S COLLEGE LONDON, DEPARTMENT OF MATHEMATICS, CENTRE FOR NEURAL NETWORKS
EU contribution
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Address


United Kingdom

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Total cost

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.

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