BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:Europe/Vienna
BEGIN:DAYLIGHT
DTSTART:20250330T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20241027T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260424T143511Z
UID:664da6bce61a4530368883@ist.ac.at
DTSTART:20250131T150000
DTEND:20250131T160000
DESCRIPTION:Speaker: Chen Yi\nAbstract: In developing tissues or organisms\
 , cells undergo differentiation\, a process in which pluripotent stem cell
 s commit to specific cell fates. To ensure proper biological function\, di
 fferentiation occurs in spatial patterns that are both precise and reprodu
 cible\, and it does so in an inherently stochastic environment. In the lat
 e 1960s Lewis Wolpert first introduced the concept of Positional Informati
 on (PI)\, which traces back this patterning to the ability of cells to inf
 er their position by reading out the information contained in the graded p
 rofiles of the so-called morphogen molecules. More recent efforts by Dubui
 s et al formalised the concept of PI in the language of information theory
  providing a robust understanding of the constraints imposed by stochastic
 ity on morphogen-based patterning. Despite these successes\, several outst
 anding questions remain\, particularly regarding the origin and refinement
  of PI.We explore the possibility that in situations where the stochastic 
 fluctuations in gene expression are spatially correlated\, these correlati
 ons can be exploited. In particular we quantify the amount of information 
 that can extracted from said correlations\, and find the optimal way to co
 nvert it into useful PI thought non-local decoding. With this\, we aim to 
 shed light on potential mechanisms by which cells collectively enhance dev
 elopmental precision.
LOCATION:Mondi Seminar Room 2\, Central Building\, ISTA
ORGANIZER:aehrmann@ist.ac.at
SUMMARY:Chen Yi: Correlational Information and non-local decoding
URL:https://talks-calendar.ista.ac.at/events/5006
END:VEVENT
END:VCALENDAR