
Karim Jerbi
Increase understanding of cortical communications and brain network dynamics
- Professeur agrégé
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Faculté des arts et des sciences - Département de psychologie
Media
Profile
Research expertise
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.
Biography
Dr. Jerbi is an assistant professor at Université de Montréal (2014-present) where he holds the Canada Research Chair in Systems Neuroscience and Cognitive Neuroimaging (Junior CRC). He leads a interdisciplinary research program that explores the neural substrate of brain function and dysfunction through the application of advanced signal processing and machine learning methods to multi-modal and multi-scale brain data.
He holds a PhD in Cognitive Neuroscience and Brain Imaging (awarded by the University of Paris VI, France) and a degree in Biomedical Engineering (awarded by the University of Karlsruhe, Germany). In December 2012, he completed a Research Director Habilitation (awarded by the Claude Bernard University, UCBL, Lyon I).
Affiliations and responsabilities
Research affiliations
Research units
Titulaire
Membre
- CRM — Centre de recherches mathématiques
- CERNEC — Centre de recherche en neuropsychologie et cognition
- CRIUGM — Centre de recherche de l'Institut universitaire de gériatrie de Montréal
- PhysNum — Laboratoire de physique numérique
- CR-IUSMM — Centre de recherche de l'Institut universitaire en santé mentale de Montréal
- BRAMS — Laboratoire international de recherche sur le Cerveau, la Musique et le Son
- CIRCA — Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage
Affiliated institutions
- CIUSSS de l'Est-de-l'Île-de-Montréal – Institut universitaire en santé mentale de Montréal (IUSMM)
Teaching and supervision
Student supervision
Theses and dissertation supervision (Papyrus Institutional Repository)
La reconnaissance visuelle à travers le temps : attentes, échantillonnage et traitement
Cycle : Doctoral
Grade : Ph. D.
Projects
Research projects
Chaire de recherche du Canada en Computational Neuroscience and Cognitive Neuroimaging
Role of the insula in refractory epilepsy
Union Neurosciences et Intelligence Artificielle Québec (UNIQUE) / Regroupements stratégiques
Programme de bourses d'excellence 2018 - IVADO - Candidat: Thomas Thiery
Quantitative electroencephalography in rapid-eye-movement (REM) sleep: an early marker of cholinergic neurodegeneration in mild cognitive impairment
CENTRE DE RECHERCHES MATHEMATIQUES (CRM)
MULTI-LEVEL EXPLORATION OF OSCILLATORY BRAIN NETWORKS: FROM NEURONAL MECHANISMS TO COGNITION
Moderniser les pratiques d’évaluation : la technologie au service de l’interdisciplinarité et du bien-être des enfants
Bourse de stage international - Jean-Maxime Larouche / Union Neurosciences et Intelligence Artificielle Québec (UNIQUE)
Apogée Canada fonds d'excellence en recherche / Bourse d'excellence IVADO à la maitrise Timothy Nest
Oscillatory brain dynamics under light and deep anesthesia: Predicting states of consciousness using machine learning techniques
Analyse de données cérébrales MEG combinant analyses spectrales et apprentissage machine
HBHL: Montreal Artificial Intelligence & Neuroscience (Main) 2019
Bourse postdoc, Candidat Tarek Lajnef / Leveraging AI for polysomnographic brain data analytics in large cohorts: Age-related changes in sleep brain activity and their modulation by stress, anxiety and depression Subvention accordée au projet Apogée...
From data-science to brain-science: AI-powered investgation of the neuronal determinants of cognitive capacities in health, aging and dementia
Programme de bourses PostDoc 2018 - IVADO - Candidat: Saive Anne-Lise exploring the neural dynamics of enhanced human memory using machine learning: A data-driven approch combining MEG and intracranial EEG
Intelligence artificielle au service de l'Intelligence émotionnelle: Explorations mulyi-modales des réseaux cérébraux du traitement des émotions
Programme de bourses de stage d'été et d'initiation à la recherche au premier cycle IVADO (Réf. IVADO : B-2019-6941738476) / Candidat: Filip Milisav / Studying social influence using a neuroimaging and data science approach
FGR-CRSNG:2018-2019
HBHL: Montreal Artificial Intelligence and Neuroscience (MAIN) 2018 Conference
Helium liquefier for human brain magnetometry
SYSTEMS NEUROSCIENCE AND COGNITIVE NEUROIMAGING
Programme de bourse d'été et d'initiation à la recherche au premier cycle IVADO. Candidat: Maxime Arcand-Lavigne / Data-mining sleep brain signals using machine-learning: effect of caffeine (EEG)
Compléter un achat équipement
Next-generation beamformer development in Python for human MEG/EEG oscillations
Highperformance computing environment to leverage deep learning technology for large biomedical and neuroimaging data
Outreach
Publications and presentations
Disciplines
- Neurosciences
- Neurology
- Psychology
- Computer Science
Areas of expertise
- Cognitive neuroimaging
- Cognitive psychology
- Machine learning
- System neurosciences & Neural oscillations
- Magnetoencephalography and Electroencephalography
- Systems neuroscience