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SUMMARY:Computational capabilities of transient sets in natural systems - 
 Aneta Koseka\, Max Planck Institute for Neurobiology of Behavior — Caesa
 r\, Bonn
DTSTART:20241029T130000Z
DTEND:20241029T140000Z
UID:TALK220429@talks.cam.ac.uk
CONTACT:Balázs Németh
DESCRIPTION:A fundamental characteristic of living systems is sensing and 
 subsequent robust response to continuously varying environmental signals. 
 Even seemingly “simple” systems\, such as single cells or single-cell 
 organisms\, reveal higher-order computational capabilities that go beyond 
 simple stimulus-response association. Developing a theoretical framework t
 o characterize transient sets in dynamical systems\, we describe how ghost
  sets can be utilized as a memory to integrate information from time-varyi
 ng signals. We have identified experimentally that these states are an eme
 rgent feature of cell-surface receptor networks organized at criticality\,
  which they exploit for memory-based navigation in changing environments. 
 Furthermore\, by formulating a theory of computation with ghost sets\, we 
 explore theoretically and experimentally basic paradigms of learning and m
 emory on the level of single cells\, but also neuronal networks. \n\n
LOCATION:Center for Mathematical Sciences\, Lecture room MR4
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