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SUMMARY:Principles of biochemical computations at criticality - Dr Aneta K
 oseska (Max Planck Institute)
DTSTART:20200226T140000Z
DTEND:20200226T150000Z
UID:TALK138628@talks.cam.ac.uk
CONTACT:Nataliia Kuksa
DESCRIPTION:The current theoretical frameworks of biochemical computations
  mainly reflect Turing-like information processing with stable states. Alt
 hough a broad spectrum of information processing problems can be treated w
 ithin this framework\, it is still challenging to understand how this lead
 s to balancing between opposed features such as robustness and plasticity\
 , as well as biochemical computations in real-time. We have identified tha
 t organization at criticality on the one hand enhances computational featu
 res of systems where the information is stored in the stable biochemical s
 tates\, and on the other hand\, serves as a basis of computation with meta
 -stable states\, thereby providing real-time information processing. We su
 bstantiate these findings through two experimental examples: a development
 al problem to address how robust proportioning between differentiated cell
  fates emerges\, and an example of cellular sensing of and responsiveness 
 to non-stationary growth factor patterns.
LOCATION:Auditorium of Sainsbury Laboratory Cambridge University (Bateman 
 Street)
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