Speakers

List of MAIN 2022 Speakers and Panelists

• Kafui Dzirasa (Duke University School of Medicine, C, USA) ➤ Decoding socioemotional brain states from brain wide electrical recordings

• Ev Fedorenko (MIT McGovern Institute, MA, USA) ➤ The language system in the human brain: Parallels and differences with large language models

• Michael Graziano (Princeton Neuroscience Institute, NJ, USA ) ➤ A Conceptual Framework for Consciousness

• Mohamed Abdelhack (Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, ON, Canada) ➤ Future of Neuro-AI through the lens of early career researchers

• Shahab Bakhtiari (Université de Montréal & Mila, QC, Canada) ➤ Career perspectives in Neuro-AI

• Yoshua Bengio (Université de Montréal & Mila, QC, Canada) ➤ GFlowNet frameworks for theoretical neuroscience

• Isil Bilgin (CNeuromod, CRIUGM, QC, Canada) ➤ Future of Neuro-AI through the lens of early career researchers

• Tyler Bonnen (Stanford University, CA, USA) ➤ Future of Neuro-AI through the lens of early career researchers

• Julie Boyle (CNeuromod, CRIUGM, QC, Canada) ➤ Career perspectives in Neuro-AI

• Anne K. Churchland (University of California, CA, USA ) ➤ Decisions, movements, and biological brains

• Claudia Clopath (Imperial College London, London, UK ) ➤ Probing motor adaptation in an artificial neural network model

• Eva Dyer (Georgia Institute of Technology, GA, USA) ➤ Seeing the forest and the tree: Decomposing representations of neural activity to reveal features of individual neurons and their population-level dynamics

• Audrey Durand (Université Laval, QC, Canada) ➤ On our way to monitor nanostructures using reinforcement learned microscopy imaging policies

• Chris C. Emezue (Technical University of Munich, Munich, Germany & Lanfrica) ➤ Future of Neuro-AI through the lens of early career researchers

• Javeria Hashmi (Dalhousie University, NS, Canada) ➤ Interplay between prediction and sense datum in the brain

• Flavie Lavoie-Cardinal (Université Laval, QC, Canada) ➤ Career perspectives in Neuro-AI

• Grace Lindsay (New York University, NY, USA) ➤ Visual processing in an embodied artificial rodent trained through reinforcement learning

• Matthew Perich (Université de Montréal & Mila, QC, Canada) ➤ Merging neural and behavioral modularity through brain-wide compositional modes

• David Sussillo (Meta Reality Labs, CA, USA) ➤ Neural dynamics shape task organization in multitask networks

• Aaron Schurger (Chapman University) ➤ What is the science of consciousness about?

• Laura Suarez (McGill University, QC, Canada) ➤ Future of Neuro-AI through the lens of early career researchers

• Bertrand Thirion (Université Paris Saclay - INRIA, France) ➤ In the wild brain activity decoding

• Angela Tam (Perceiv AI, QC, Canada) ➤ Career perspectives in Neuro-AI

• Joel Zylberberg (York University, ON, Canada) ➤ New bio-realistic artificial neuron types may help us develop more human-like AI

• Hamza Abdelhedi (Université de Montréal)

• Shahab Bakhtiari (Université de Montréal & Mila)

• Paul Cisek (Université de Montréal)

• Andrea Green (Université de Montréal)

• Karim Jerbi (Université de Montréal & Mila)

• Guillaume Lajoie (Université de Montréal & Mila)

• Flavie Lavoie-Cardinal (Université Laval)

• Mahta Ramezanian (Université de Montréal)

• Pravish Sainath (Université de Montréal)

• Akram Shourkeshti (Université de Montréal)