Sensory Processing involves effective registration and reliable interpretation of sensory input in the environment. How the brain receives, organizes and responds to sensory input in order to behave in a meaningful and consistent manner intrigues researchers. At CBDL, we are currently interested in the neurophysiology of speech perception and auditory processing by characterising the dynamics of the whole brain network. We are also exploring the neurobiology of attention during visual task conditions. |
Any form of information processing, mental operation, or intellectual activity such as thinking, reasoning, remembering, imagining, or learning counts as cognition.
Our lab uses neuroimaging techniques to identify the neural correlates behind cognitive abilities like emotions, working memory, predictive coding, finding differences in alike objects, imagination and language processing. |
Healthy aging is associated with structural changes in many regions of the brain and functional decline in various cognitive domains.
Aging changes the intrinsic properties of neural oscillations, both in resting state and in the context of cognitive tasks. How does the spatiotemporal organization of the neuronal rhythms change in the process of aging? We also explore the brain network interactions and reconfigurations that are associated with Autism Spectrum Disorder. |
Computational modeling of the spontaneous dynamics over the whole brain provides critical insight into the spatiotemporal organization of brain dynamics at multiple resolutions and their alteration to changes in brain structure. Our lab focuses, among several others, on understanding the temporal and spatial evolution of dynamic functional connectivity (dFC) patterns in task and resting state across age and also in the development of novel algorithms to capture them. |
The development of tools allow researchers to measure or analyse different phenomena. We focus on developing tools and strategies that will ultimately lead to affordable, efficient and accessible technology. We are currently developing algorithms to estimate sources underlying brain oscillations from EEG recordings, and identify markers of epilepsy from StereoEEG data. We are also developing tools to enhance low resolution MRI for more accessible scans. |