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VERSION:2.0
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CALSCALE:GREGORIAN
X-WR-CALNAME:Kendrick Kay - Principles of intensive human neuroimaging: a v
 iewpoint from visual and computational neuroscience
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260911T052624Z
UID:tag:localist.com\,2008:EventInstance_51844779184721
DTSTART:20260203T000000Z
DTEND:20260203T013000Z
DESCRIPTION:Principles of intensive human neuroimaging: a viewpoint from vi
 sual and computational neuroscience\n\nAbstract: \n\nWe discuss our vision
  of "intensive neuroimaging" in which cognitive phenomena are extensively 
 sampled in order to support computational modeling and detailed investigat
 ion of brain function. Importantly\, intensive neuroimaging does not simpl
 y mean collecting more data --- it seeks to also maximize data quality and
  design experiments that enable rich hypothesis spaces. As case examples\,
  I will discuss the large-scale 7T fMRI Natural Scenes Dataset (NSD)\, con
 sisting of whole-brain BOLD responses while each of 8 participants viewed 
 tens of thousands of natural scenes over the course of 30-40 scan sessions
 \, as well as our ongoing Visual Cognition Dataset (VCD) which seeks to br
 oadly sample how different tasks influence visually evoked responses in th
 e human brain.\n\nSpeaker Bio\n\nDr. Kendrick Kay is an Associate Professo
 r at the Center for Magnetic Resonance Research at the University of Minne
 sota. Research in his Computational Visual Neuroscience lab (http://cvnlab
 .net) focuses on understanding the computational principles by which the b
 rain processes visual information\, and lies at the intersection of cognit
 ive neuroscience\, functional magnetic resonance imaging methods\, and com
 putational modeling. He is known for advancing high-resolution fMRI method
 s and for developing quantitative models that describe neural computations
  in the visual cortex. Dr. Kay's lab has created large-scale datasets and 
 tools that have become widely used across the human neuroscience community
 .
GEO:37.430178;-122.176478
LOCATION:Stanford Neurosciences Building\, James Lin and Nisa Leung Seminar
  Room\, E153
SUMMARY:Kendrick Kay - Principles of intensive human neuroimaging: a viewpo
 int from visual and computational neuroscience
URL;VALUE=URI:https://events.stanford.edu/event/kendrick-kay-principles-of-
 intensive-human-neuroimaging-a-viewpoint-from-visual-and-computational-neu
 roscience
CATEGORIES:Lecture/Presentation/Talk
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