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DTSTAMP:20260413T150924Z
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 McGill University 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 McGill University\, 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:https://www.mcgill.ca/hbhl/channels/event/neurogenesis-speaker-series-3
 62082
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