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SUMMARY:Dynamic networks in the human brain - Danielle Bassett (University
  of Pennsylvania )
DTSTART:20161213T144500Z
DTEND:20161213T153000Z
UID:TALK69473@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:Each area of the human brain plays a unique role in processing
   information gleaned from the external world and in driving our responses
   to that external world via behavior. However\, the brain is far from a  
 set of disconnected building blocks. Instead\, parts of the brain  communi
 cate with one another in complex spatiotemporal patterns that  enable huma
 n behavior. Understanding this spatio-temporal complexity  requires a para
 digmatic shift in our conceptual approaches\, empirical  thrusts\, and qua
 ntitative methods. In this talk\, I will describe the  recent use of tools
  from network science to understand the structure and  function of the hum
 an brain. With these novel approaches\, we can begin  to characterize the 
 ``connectome&rsquo\;&rsquo\;\, a model representation of  neurobiological 
 data that encapsulates both constituent elements of the  brain (network no
 des) and their interactions with one another (network  edges). In a critic
 al innovation\, we imbue network edges with temporal  dependence  to captu
 re the dynamics of the ever-reconfiguring brain communication  patterns th
 at support cognition.  I will recount the utility of dynamic  network appr
 oaches in not only understanding\, but also predicting  individual differe
 nces in adaptive functions such as learning\, and in  delineating healthy 
 versus diseased brain communication dynamics. An  emerging frontier\, dyna
 mic network neuroscience provides a powerful new  conceptual and mathemati
 cal framework with which to understand adaptive  human capabilities becaus
 e it embraces the inherently evolving\,  interconnected nature of neurophy
 siological phenomena underlying human  thought.
LOCATION:Seminar Room 1\, Newton Institute
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