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PRODID:https://evenements.uqam.ca
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UID:32638@https://evenements.uqam.ca
DTSTART:20260205T120000Z
SEQUENCE:6
TRANSP:OPAQUE
DTEND:20260205T120000Z
URL:https://evenements.uqam.ca/evenements/seminaire-au-dic-predictive-codin
 g-and-generative-models-in-natural-and-artificial-intelligence-par-rajesh-
 p-n-rao/32638?date=2026-02-05_10-30-00
LOCATION:UQAM - Pavillon Président-Kennedy (PK) (201\, avenue du Présiden
 t-Kennedy\, Montréal )
SUMMARY:Séminaire au DIC: «Predictive coding and generative models in nat
 ural and artificial intelligence» par Rajesh P. N. Rao
CLASS:PUBLIC
DESCRIPTION:Séminaire ayant lieu dans le cadre du doctorat en informatique
  cognitive\, en collaboration avec le centre de recherche CRIA \n\n\n \n
 \n\nTITRE :  Predictive coding and generative models in natural and arti
 ficial intelligence\n\n\n \n\n\nRajesh P.N. RAO\n\n\nJeudi le 5 février 
 2026 à 10h30\n\n\nLocal PK-5115 (Il est possible d'y assister en virtuel
  en vous inscrivant ici)             \n\n\n \n\n\nRÉSUMÉ\n
 \n\nThis talk explores how predictive coding principles illuminate the com
 putational foundations of both natural and artificial intelligence. Rao wi
 ll examine his recent work on Dynamic Predictive Coding and Active Predict
 ive Coding (APC) models\, which proposes that the brain uses hierarchical 
 generative models to predict sensory inputs and motor consequences. The di
 scussion will cover how these models enable compositionality\, hierarchica
 l learning\, and efficient planning by combining perception and action in 
 a unified framework. Neuroscience evidence and AI applications suggests ho
 w predictive coding can help  us understand biological intelligence and d
 evelop more capable artificial systems that learn hierarchical world model
 s for perception\, action\, and cognition.\n\n\n \n\n\nBIOGRAPHIE\n\n\nRa
 jesh P. N. RAO is the CJ and Elizabeth Hwang Professor of Computer Science
  &amp\; Engineering and Electrical &amp\; Computer Engineering at the Univ
 ersity of Washington\, Seattle. He is co-Director of the Center for Neurot
 echnology and directs the Neural Systems Laboratory. Rao received his PhD 
 from University of Rochester (1998) and was a Sloan Postdoctoral Fellow at
  the Salk Institute. His research spans computational neuroscience\, brain
 -computer interfaces\, and artificial intelligence. He co-proposed the pre
 dictive coding model of brain function with Dana Ballard in 1999. His awar
 ds include a Guggenheim Fellowship\, IEEE Fellow award\, Fulbright Scholar
  award\, NSF CAREER award\, ONR Young Investigator Award\, Sloan Faculty F
 ellowship\, and Packard Fellowship.\n\n\n \n\n\n \n\n\nRÉFÉRENCES\n\n\
 nJiang\, L. P.\, &amp\; Rao\, R. P. N. (2024). Dynamic predictive coding: 
 A model of hierarchical sequence learning and prediction in the neocortex.
  PLOS Computational Biology\, 20(2)\, e1011801.\n\n\nRao\, R. P. N. (2024)
 . Active Predictive Coding: A Unifying Neural Model for Active Perception\
 , Compositional Learning\, and Hierarchical Planning. Neural Computation\,
  36(1)\, 1-58. Gklezakos\, D. C.\, &amp\; Rao\, R. P. N. (2024). A sensory
 -motor theory of the neocortex based on active predictive coding. Nature N
 euroscience.\n\n\nRao\, R. P. N.\, &amp\; Ballard\, D. H. (1999). Predicti
 ve coding in the visual cortex: A functional interpretation of some extra-
 classical receptive-field effects. Nature Neuroscience\, 2(1)\, 79-87.\n\n
 Mot-clés : LLMs\, LATECE UQAM INFORMATIQUE\, LATECE\, CRIA\, Philosophie\
 , Sciences cognitive\, École de langues\, Département de Neuroscience\, 
 neurosciences cognitives\, Neurosciences\, Sciences cognitives\, Institut 
 des sciences cognitives\, Apprentissage du langage naturel\, sciences du l
 angage\, apprentissage machine\, apprentissage profond\, langage automatiq
 ue\, langage cognitif\, Cognition humaine\, Cognition\, systèmes intellig
 ents\, Intelligence de la matière\, intelligence artificielle\, IA\, inte
 lligence artificielle\, IA\, intelligence artificielle\, chatGPT\, enseign
 ement supérieur\, IA\; intelligence artificielle\; société\, départeme
 nt de linguistique\, maîtrise en psychologie\, département de psychologi
 e\, Faculté des sciences humaines\, Faculté des sciences de l'UQAM\, Fac
 ulté des sciences\, Département d'informatique\, doctorat en informatiqu
 e cognitive\, doctorat en informatique\n\nPrix : Gratuit\n\n
CATEGORIES:Séminaire,Conférence
DTSTAMP:20260309T054757Z
CREATED:20260203T154944Z
LAST-MODIFIED:20260203T190457Z
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