Research in the lab investigates how the brain enables us to perceive, understand and interact effectively with the multisensory world around us. When crossing a busy road our senses are bombarded with myriad signals: a sparkling bike passing by, the looming noise of a truck, the smell of traffic fumes. The effortless ease with which we merge these signals into a seamless percept masks the complexity of the computations and neural mechanisms involved.
Adaptive behaviour in a complex, dynamic and multisensory world poses some of the most fundamental computational challenges for the brain, notably inference, probabilistic/statistical computations, decision making, learning, binding and attention. To define the underlying computations and neural mechanisms in typical and atypical (e.g. neuropsychiatric disorders) populations my lab combines behavioural, computational modelling (Bayesian, neural network) and neuroimaging (fMRI, MEG, EEG, TMS).