Tuesday, 12th May
Frédéric Beaupré
Université Laval
Bio
STED-FM: A Self-Supervised Foundation Model for Robust and Generalizable Representation Learning in STED Microscopy
Sina Esmaeili
Université de Montréal
Bio
Building the Missing Layer for Mobile Neuro-AI: Python tools for denoising, source separation, and reproducible Mobile Brain/Body Imaging (MoBI) workflows
Kevin Whittingstall
Université de Sherbrooke
Bio
When hormones meet the brain: a vascular perspective
Nanda Krishna
Bio
Philipp Thölke
Bio
Elkaïoum Moutuou
Bio
Hafez Ghaemi
Université de Montréal
Bio
Self-supervised learning with teacher-guided masking
Darius Valevicius
Université de Montréal
Bio
Synthetic image evolution for affective neuroscience
Nicolas Doyon
Université Laval
Bio
How dynamics of ionic concentration shape information processing in neural networks
Julien Armand
Bio
Introduction to Reinforcement Learning
Baptiste Bonin
Bio
Introduction to Reinforcement Learning
Wednesday, 13th May
Mina Arzaghi
HEC Montréal
Bio
Bias and Fairness in Large Language Models
Antoine Boudreau LeBlanc
Université Laval
Bio
From the Ethics of Governance to Sociotechnical Assemblages in NeuroAI
Benoit Labonté
Université Laval
Bio
Sex Differences in Depression - Ethical and EDI Considerations
Taylor Webb
Bio
Raymond Chua
Bio
Bruno Morency
Bio
Mariem Hafsia
Université de Montréal
Bio
Beyond Diagnostic Labels: Behavioral Phenotyping Through Gamified Neurodevelopmental Assessment
Pingsheng Li
McGill
Bio
Aligning Human-AI Visual Learning through Virtual Reality
Lune Bellec
Université de Montréal
Bio
Modelling Individual Brains and Behaviour in Retro Games
Vanessa Hadid
Bio
Machine learning on electrophysiology MEG/EEG signals