BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20250802T182101EDT-3149b1J9ei@132.216.98.100
DTSTAMP:20250802T222101Z
DESCRIPTION:'The predictive machine: neural network architectures for brain
  perceptual inference'\n\nSylvain Baillet (91µ¼º½ÊÓƵ)\n	Tuesday Nov
 ember 13\, 12-1pm\n	McIntyre Building\, Room 1027\n	\n	Abstract: A difficult 
 research question in systems neuroscience is the elucidation of mechanisms
  of information integration in brain networks: How do sensory inputs modif
 y the ongoing activity of the brain? How are input signals relayed in brai
 n networks via bottom-up signaling? What is the nature of top-down influen
 ces from higher-order brain circuits on sensory perception?\n\nWe recently
  proposed that bottom-up signaling and top-down modulations in hierarchica
 l brain networks could be enabled by polyrhythmic and interdependent oscil
 latory brain activity. This mechanistic framework implements a generic for
 m of contextual predictive inference of input signals into brain networks.
  In essence\, this theoretical framework is aligned with the principles of
  perceptual inference\, which predict that the large spontaneous\, resting
  brain activity during wakefulness (25% of whole-body metabolism) constant
 ly implements the self’s representation of the environment.\n	\n	Inspired by
  this framework\, I will present our work with Peter Donhauser\, who recen
 tly proposed a neural network architecture that models contextual brain pr
 edictions during speech listening about upcoming language elements (phonem
 es and words). The approach enables the functional separation between unce
 rtainty-related and error-related neural activity captured in electrophysi
 ology\, in ecological speech listening situations.\n
DTSTART:20181113T170000Z
DTEND:20181113T180000Z
LOCATION:Room 1027\, McIntyre Medical Building\, CA\, QC\, Montreal\, H3G 1
 Y6\, 3655 promenade Sir William Osler
SUMMARY:Seminar Series in Quantitative Life Sciences and Medicine
URL:/qls/channels/event/seminar-series-quantitative-li
 fe-sciences-and-medicine-291164
END:VEVENT
END:VCALENDAR