BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250623T034513EDT-8981M7UBwC@132.216.98.100 DTSTAMP:20250623T074513Z DESCRIPTION:Neurogenesis Speaker Series\n\nWednesday\, February 5\, 2025\n 4 :30–5:30 p.m. (with post-event reception)\n\nThe Neurogenesis Speaker Seri es will give you the opportunity to get to know HBHL’s new recruits firsth and\, learn about their research\, ask questions and network with your pee rs during the post-event reception.\n\nEach event in this series will feat ure two HBHL faculty recruits whose research areas provide an interesting contrast or intersection for discussion.\n\nFebruary Speakers: \n\n\n Paul Masset\, PhD - 'Distributed reinforcement learning in the brain'\n Pouya Ba shivan\, PhD - 'What does spatial tuning tell us about the neural code in the hippocampus?'\n\n\nPlaces are limited. Secure your spot today!\n\n\nSp eakers\n\nPaul Masset\n\nPaul Masset is an Assistant Professor in the Depa rtment of Psychology at 51³Ô¹ÏÍø and an Affiliate member at Mila - Quebec Artificial Intelligence Institute\, working at the intersection o f neuroscience\, AI and cognitive science. The focus of his research group is to understand how the structure of neural circuits endows the brain wi th efficient distributed computations underlying cognition and how we can leverage these principles to design more efficient learning algorithms. Pr ior to joining McGill\, he was a Postdoctoral Fellow at Harvard University . He obtained his PhD at Cold Spring Harbor Laboratory\, his Masters in Co gnitive Science at the École des hautes études en sciences sociales (EHESS ) and his M.Eng/B.A. in Information and Computer Engineering at the Univer sity of Cambridge.\n\nPouya Bashivan\n\nPouya Bashivan is an Assistant Pro fessor at the Department of Physiology at 51³Ô¹ÏÍø\, an associate member of Mila - Quebec Artificial Intelligence Institute and a William D awson Scholar. Bashivan’s past research has spanned the fields of control theory\, machine learning and neuroscience. The research in his group is a t the intersection of artificial neural networks and neuroscience and is f ocused on developing computational models of visual processing in the prim ate brain with a focus on visual memory. Specifically\, he uses artificial neural network models trained to perform ecologically-relevant tasks to m odel the cortical responses in primate’s brain. His ultimate research goal is to leverage the predictive power in such models of brain activity to m odulate the brain’s function in disease.\n DTSTART:20250205T213000Z DTEND:20250205T233000Z SUMMARY:Neurogenesis Speaker Series URL:/hbhl/channels/event/neurogenesis-speaker-series-3 62082 END:VEVENT END:VCALENDAR