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SUMMARY:CAIAN (Center of Artificial Intelligence and Neuroscience)
DTSTART;TZID=Europe/Berlin:20260423T130000
DTEND;TZID=Europe/Berlin:20260423T140000
DTSTAMP:20260429T015140Z
UID:c1aa9ad40065438e8ba392ce7d747113@www.bfb.uni-bonn.de
CREATED:20251023T090743Z
DESCRIPTION:In this talk\, I will present work on the neural and cognitive
  mechanisms underlying value-based de-cisions\, with a focus on multi-attr
 ibute choices. Starting with findings from eye-tracking experi-ments\, I w
 ill discuss how individuals allocate visual attention in a goal-directed m
 anner to efficiently identify the most suitable option\, as captured by a 
 hierarchical Bayesian model of information search. The talk then shifts to
  a novel EEG study testing the neural mechanisms along the predic-tions of
  our theory\, the Multi-Attribute Search and Choice (MASC) model\, which p
 osits that belief updating during fixations guides decision processes. EEG
  analyses reveal neural signatures—a P3-like component and centro-pariet
 al positivity—that correlate with model-derived belief updates\, providi
 ng neural evidence for Bayesian inference in active decision-making. Toget
 her\, these studies demonstrate how attention and belief updating dynamica
 lly shape complex choices.
LAST-MODIFIED:20260409T095330Z
URL:https://www.bfb.uni-bonn.de/en/bfb-events/life-science-events-bonn/cai
 an-talk
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TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
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DTSTART:20260329T030000
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