My research activities focus on the cognitive aspects of visual processing, in both normal individuals and those who have suffered brain injuries. My main objectives are to identify the normal mechanisms involved in visual processing and to characterize the functional deficits resulting from brain damage. I use behavioural and electrophysiological methods. My current projects concern a number of themes:

1. Reading: visual mechanisms (i.e. shape perception and visuospatial attention) involved in accessing orthographic-lexical knowledge when recognizing written words, and organization of the lexical representation system
2. Visual recognition of objects: properties of the system for encoding visual shapes and representation of structural knowledge

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.

Experimental cognitive science, computer models and simulations of cognitive processes and neuroimaging to determine why and how attention functions or fails.