Toward a Synergy Between Artificial Intelligence and Neuroscience
NeuroAI Symposium
Thank you to all who joined us for the inaugural NeuroAI Symposium (2024) at WashU. We encourage you to view the full presentations from the event.
Stéphane Deny, Aalto University
"A deep learning model of mental rotation"
Karim Jerbi, University of Montreal
"The whispering cactus labyrinth: Divergent Creativity in Humans and Large Language Models"
Grace Lindsay, New York University
"Modeling the relationship between visual attention and learning"
Niru Maheswaranathan, Reality Labs at Meta
"Reverse engineering neural networks reveals the mechanisms underlying contextual processing"
Patrick Mineault, Mila
"What’s the endgame of neuroAI?"
Chethan Pandarinath, Georgia Tech University
"Using deep learning to uncover the dynamics of flexible pattern generation in the spinal cord"
Carlos Ponce, Harvard Medical School
"Relating Population Activity to Single Neurons and Multiunit Activity via Deep Generative Networks"
Martin Schrimpf, EPFL
"Model-Guided Next Generation Experiments"
Xue-Xin Wei, The University of Texas at Austin
"Learning and Inference with Prior Knowledge"