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CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
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SEQUENCE:0
UID:UW-Physics-Event-4896
DTSTART:20181106T180500Z
DTEND:20181106T190000Z
DTSTAMP:20260418T120235Z
LAST-MODIFIED:20180911T192610Z
LOCATION:4274 Chamberlin (Refreshments will be served)
SUMMARY:A report on the recent work by Araujo and Liotta on the topolo
 gical requirements for robust perfect adaptation in networks of any si
 ze\, Chaos & Complex Systems Seminar\, Sigurd Angenent\, UW Department
  of Mathematics
DESCRIPTION:From the article\, Robustness\, and the ability to functio
 n and thrive amid changing and unfavorable environments\, is a fundame
 ntal requirement for living systems. Until now it has been an open que
 stion how large and complex biological networks can exhibit robust beh
 aviors\, such as perfect adaptation to a variable stimulus\, since com
 plexity is generally associated with fragility. Here we report that al
 l networks that exhibit robust perfect adaptation (RPA) to a persisten
 t change in stimulus are decomposable into well-defined modules\, of w
 hich there exist two distinct classes. These two modular classes repre
 sent a topological basis for all RPA-capable networks\, and generate t
 he full set of topological realizations of the internal model principl
 e for RPA in complex\, self-organizing\, evolvable bionetworks. This u
 nexpected result supports the notion that evolutionary processes are e
 mpowered by simple and scalable modular design principles that promote
  robust performance no matter how large or complex the underlying netw
 orks become.
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URL:https://www.physics.wisc.edu/events/?id=4896
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