We employ mathematical models to understand the computations performed by the neural circuits during action selection, and the pathological patterns of activity emerging there in Parkinson’s disease.
Our group uses mathematical and computational techniques to understand the function of neural circuits underlying action selection, and their dysfunction in Parkinson’s disease.
We are particularly interested in a set of subcortical nuclei known as the basal ganglia, which are critically involved in deciding which movement should be initiated, and which are affected in Parkinson’s disease. We develop computational models that describe how the basal ganglia calculate which action is most likely to result in the best outcome.
We employ mathematical techniques to analyse how the basal ganglia generate excessive oscillations in Parkinson’s disease that are correlated with difficulties in movement initiations. We use computer simulations to predict the parameters of deep brain stimulations that are likely to optimally reduce the symptoms of Parkinson’s disease.
Our group is associated with the MRC Anatomical Neuropharmacology Unit.