Skip to main content

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.

Funding Scheme

RGI - Research grants (individual fellowships)
Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

University of Edinburgh
Address
5 Forrest Hill
EH1 2QL Edinburgh
United Kingdom

Participants (1)

Not available
Netherlands