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DESCRIPTION:Self Evidencing For Individual and Collective Agency\n\nDr. Kar
 l Friston\n\nUniversity College London\n\nWith a high-level panel of leade
 rs in science\, technology\, on-the-ground action\, investment\, and polic
 y\n\nRegister & watch webinar\n\nIn the cognitive neurosciences and machin
 e learning\, we have formal ways of understanding and character-izing perc
 eption and decision-making\; however\, the approaches appear very differen
 t: current formulations of perceptual synthesis call on theories like pred
 ictive coding and Bayesian brain hypothesis. Conversely\, formulations of 
 decision-making and choice behavior often appeal to reinforcement learning
  and the Bellman optimality principle. On the one hand\, the brain seems t
 o be in the game of optimizing beliefs about how its sensations are caused
 \; while\, on the other hand\, our choices and decisions appear to be gove
 rned by value functions and reward. Are these formulations irreconcilable\
 , or is there some underlying information theoretic imperative that render
 s perceptual inference and decision-making two sides of the same coin?\n\n
 About the speaker\n\nKarl Friston is a theoretical neuroscientist and auth
 ority on brain imaging. He in-vented statistical para-metric mapping (SPM)
 \, voxel-based morphometry (VBM) and dynamic causal modelling (DCM). These
  contributions were motivated by schizophrenia research and theoretical st
 udies of value-learning\, formulated as the dysconnection hypothesis of sc
 hizophrenia. Mathematical contributions include variational Laplacian proc
 edures and generalized filtering for hierarchical Bayesian model inversion
 . Friston currently works on models of functional integration in the human
  brain and the principles that underlie neuronal interactions. His main co
 ntribution to theoretical neurobiology is a free-energy principle for acti
 on and perception (active inference). In 2000 he was President of the inte
 rnational Organization of Human Brain Mapping. In 2003 he was awarded the 
 Minerva Golden Brain Award and was elected a Fellow of the Roy-al Society 
 in 2006. He became of Fellow of the Royal Society of Biology in 2012\, rec
 eived the Weldon Memorial prize and Medal in 2013 for contributions to mat
 hematical biology and was elected as a member of EMBO (excellence in the l
 ife sciences) in 2014 and the Academia Europaea in (2015). He was the 2016
  recipient of the Charles Branch Award for unparalleled breakthroughs in B
 rain Research and the Glass Brain Award\, a lifetime achievement award in 
 the field of human brain mapping. He holds Honorary Doctorates from the Un
 iversity of Zurich and Radboud University.\n\nAbout the series\n\nThe Prec
 ision Convergence series is launched to catalyze unique synergy between\, 
 on the one hand\, novel partnerships across sciences\, sectors and jurisdi
 ctions around targeted domains of real-world solutions\, and on the other 
 hand\, a next generation convergence of AI with advanced research computin
 g and other data and digital architectures such as PSC’s Bridges-2\, and s
 upporting data sharing frameworks such as HuBMAP\, informing in a real tim
 e as possible the design\, deployment and monitoring of solutions for adap
 tive real-world behavior and context.\n\nThe Precision Convergence Webinar
  Series is co-hosted by The McGill Centre for the Convergence of Health an
 d Economics (MCCHE) at McGill University and The Pittsburgh Supercomputing
  Center\, a joint computational research center between Carnegie Mellon Un
 iversity and the University of Pittsburgh.\n\n \n
DTSTART:20220504T150000Z
DTEND:20220504T170000Z
SUMMARY:MCCHE Precision Convergence Webinar Series with Dr. Karl Friston
URL:https://www.mcgill.ca/channels/channels/event/mcche-precision-convergen
 ce-webinar-series-dr-karl-friston-338700
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