Expert in: Magnetoencephalography and Electroencephalography
- Cognitive neuroimaging
- Cognitive psychology
- Machine learning
- System neurosciences & Neural oscillations
- Magnetoencephalography and Electroencephalography
- Systems neuroscience
Karim Jerbi heads the Computational and Cognitive Neuroscience Lab (CoCo Lab) at UdeM. His research lies at the cross-roads between computational, systems and cognitive neuroscience, with an emphasis on exploring biological and artificial network dynamics. The research he leads seeks to elucidate the role of large-scale brain network dynamics in normal cognitive processes and their breakdown in psychiatric disorders. To this end, his research relies on a combination of invasive (intracranial electroencephalography, iEEG) and non-invasive (EEG and MEG) recordings, combined with advanced signal processing and artificial intelligence tools, including machine learning.
Karim Jerbi is interested in inter-disciplinary research questions such as the neural basis of attention, decision-making, states of consciousness and sleep, and has a keen interest in various forms of interaction between art, creativity and neuroscience.