Learning and performance in an immersive motion simulator: We are studying perception and integration of self-motion with other sensory information. Self-motion perception involves a complex array of vestibular and proprioceptive cues integrated with visual and auditory information. We are interested in the brain mechanisms involved when people learn to operate large moving vehicles, like cars and planes. We look for neural correlates of multisensory integration using electrophysiological methods, and by observing behavioural responses and tracking eye movements. We are studying the importance of self-motion for transfer of training. We are studying attentional and social influences on training, navigation, and cognitive control in simulated environments.
Performance and error monitoring: How do we learn from our mistakes? How does practice improve performance? How do we become experts? How is performance monitored during practice, how are errors detected, and how is behaviour altered in response to errors? We study attention and cognitive control,experience dependent changes to cognitive, attentional, and memory processes, and brain processes underlying the changes that occur as a novice becomes an expert.
Scalp Electrophysiology: We study neural events by measuring scalp potentials from a high density array of electrodes which detect millisecond resolution voltage changes generated by neurons. The high temporal resolution of event-related potentials (ERP) allows us to ask specific questions about neural changes related to practice and learning. The ability to tap into function non-invasively allows us to ask how behaviour relates to neural processes.