BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20180311T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20171105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69b292a395618
DTSTART;TZID=America/Toronto:20180404T120000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20180404T120000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/phd-defence-s
 paun-20-extending-worlds-largest-functional
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2314 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Defence: Spaun 2.0: Extending the World's Largest Functional Br
 ain\nModel
CLASS:PUBLIC
DESCRIPTION:Speaker: Feng-Xuan Choo\, PhD candidate\n\nBuilding large-scale
  brain models is one method used by theoretical\nneuroscientists to unders
 tand the way the human brain functions.\nResearchers typically use either 
 a bottom-up approach\, which focuses\non the detailed modelling of various
  biological properties of the\nbrain and places less importance on reprodu
 cing functional behaviour\,\nor a top-down approach\, which generally aim 
 to reproduce the behaviour\nobserved in real cognitive agents\, but typica
 lly sacrifices adherence\nto constraints imposed by the neuro-biology. \n
 \nThe focus of this thesis is Spaun\, a large-scale brain model\nconstruct
 ed using a combination of the bottom-up and top-down\napproaches to brain 
 modelling. Spaun is currently the world's largest\nfunctional brain model\
 , capable of performing 8 distinct cognitive\ntasks ranging from digit rec
 ognition to inductive reasoning. The\nthesis is organized to discuss three
  aspects of the Spaun model.
DTSTAMP:20260312T101707Z
END:VEVENT
END:VCALENDAR