Information about the world is represented in the brain by the combined activity of populations of many
neurons. However the basic principles underlying how such population activity codes information are largely
unknown. Using the map from the eye to the brain of the zebrafish as a model, we will combine experimental
measurements of neural activity with mathematical modelling in order to discover these basic principles. Of
particular interest is how these coding principles change during development, and their plasticity after
disruptions to the visual map. Besides improving our understanding of how brains process information, the
knowledge gained could help optimise the design of brain-computer interfaces and artificial computing
devices.