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METHOD:PUBLISH
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TZID:Europe/Vienna
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DTSTART:20210328T030000
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DTSTART:20201025T020000
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BEGIN:VEVENT
DTSTAMP:20260403T220427Z
UID:5fb7aa7a21583896421989@ist.ac.at
DTSTART:20201207T140000
DTEND:20201207T150000
DESCRIPTION:Speaker: Wiktor Mlynarski\nhosted by Kseniia Khudiakova\, Raimu
 ndo Saona\nAbstract: Organisms must infer the properties of their ever-cha
 nging environment from sensory stimuli. Representing these stimuli is comp
 licated\, costly and requires metabolic resources. In this talk I will dis
 cuss how neurons and other biological systems might minimize the effort to
  accurately represent sensory signals without losing their ability to keep
  the track of the changing environment. Our apporach blends dynamic Bayesi
 an inference\, information theory and a lot of speculation.
LOCATION:Online Event ()\, ISTA
ORGANIZER:kkhudiak@ist.ac.at
SUMMARY:Wiktor Mlynarski: Adaptive coding for dynamic Bayesian inference
URL:https://talks-calendar.ista.ac.at/events/2981
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