Dr Vera Vasas
Location: Room 2.16, Fogg Building
Honeybees learn extremely well which kinds of objects are associated with reward, and in the laboratory they can be taught to distinguish artificial flowers based on colour, size, shape, pattern or even symmetry. My aim is to produce a complete and neurobiologically grounded model for visual learning in bees, with the emphasis on colour processing and learning.
I worked in the areas of ecological and evolutionary modelling, focusing on network analysis. My publications include various topics addressing the implications of the structure of a system for its behaviour, for example effects of food web structure on the ecosystem’s response to perturbation, connectivity of landscape graphs constraining migration, and structural motifs that enable reaction networks to evolve by natural selection.
- Find out more about the Bee Sensory and Behavioural Ecology laboratory
- Evolution of Associative Learning in Chemical Networks
- Evolution before genes
- Browse more publications on Dr Vasas' Research Gate profile