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Content archived on 2024-05-07

Modelling the neural controller of a swimming lamprey - a comparison of naturally and artificially evolved networks

Objective



Research objectives and content
This project is interested in the neural locomotion controller of lampregs. It has as objective to develop artificial neural control- lers and compare them with the biological model. This research has a double motivation : firstly to study the alternative possibilities Nature could have choses to obtain adapted controllers and secondly to evaluate how good Genetic Algorithms are as tool for creating neural controllers for a specific task. The project will be achieved in three stages : 1) simulation the biological model (reproduction of ekeberg's work) 2) development of encodings and fitness functions in order to evolve artificial controllers 3) Comparison of the artificial and biological networks The thesis will also make a review of dynamic neural networks
Training content (objective, benefit and expected impact)
applied to control theory. The main benefit of this project is to use a new tool (Evolutionary Algorithms) in a recent field (Dynamic Neural Networks for robot control) I kope this PHD will provide me a deep knowledge of both promising fields.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Call for proposal

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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.

RGI - Research grants (individual fellowships)

Coordinator

University of Edinburgh
EU contribution
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Address
5 Forrest Hill
EH1 2QL Edinburgh
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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Participants (1)

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