Cognitive and Neural Processing

We develop computational models to simulate and understand psychological and neural processes including those involved in auditory perception, language processing, music perception and performance, emotional experience, problem solving, creativity and social interaction.

Our modelling encompasses neural networks, deep learning, structured probabilistic models, statistical inference and generative approaches as well as traditional machine learning. The empirical research we conduct to evaluate and refine our models of cognitive and neural processing includes behavioural, physiological and neuroimaging methods. Our research has shed light on: neural pattern recognition in auditory perception; psychological mechanisms of musical pleasure; timing perception as a process of Bayesian inference.