My research interests focus around analysis methodology and modelling of magneto/electroencephalographic (M/EEG) recordings. The questions that drive me forward are how neuronal populations interact to form our cognition and what the limits are of what we can learn about these processes on the basis of recordings from the scalp. I believe that in order to answer these questions we need to understand, in terms of computational models, how the M/EEG signals are generated.
Currently I am focusing on modelling between-subject variability of the spatial aspects of components of event-related potentials (ERPs). Specifically, I am investigating whether normalisation of topographic distributions of ERP component amplitude across the scalp provides any benefits for judging differences in the underlying sources of activity in different experimental conditions. This work is being done in collaboration with David Donaldson from the Psychological Imaging Laboratory at the University of Stirling and Mark van Rossum from the Institute for Adaptive and Neural Computation at the University of Edinburgh.