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SUMMARY:Computational Brain Science: putting computational methods to work
  for neuroscience
DTSTART:20200407T121500
DTEND:20200407T131500
DTSTAMP:20260406T172818Z
UID:8f39e13c5b6fd27ba9794ac7ffb06e794c4437a92c680d1ccd67c3d9
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr Felix Schürmann\, BBP-CORE / FSV-BMI\nThe seminar will be
  broadcasted by zoom :\nhttps://epfl.zoom.us/j/989349108\n\n\nAbstract:\nM
 y research is focussed on bringing the toolbox of computational science to
  neuroscience\, aiming to provide a framework in which the brain’s multi
 -modal and multi-scale data can be related\, completed and explored. For p
 roblems such as the building of biophysically detailed neuronal models\, w
 e were able to devise advanced optimization algorithms with novel error fu
 nctions yielding some of the most faithful models. In other cases\, such a
 s the microconnectome\, we developed first principle computational methods
  that derive dense parameters from sparse data through constraint resoluti
 on and forward computations. In yet other cases\, such as the simulation o
 f brain tissue models\, our research transformed prior numerical methods a
 nd simulation schemes\, making it possible to use massively parallel super
 computers efficiently. Lastly\, we introduced analytical performance model
 ling to brain simulations\, giving the first quantitative framework in whi
 ch modelling decisions and computational cost implications can be understo
 od. This research has enabled the Blue Brain Project and other groups to b
 uild some of the most detailed models of neurons and brain regions to date
 .\n\nShort Bio\nFelix Schürmann is adjunct professor at the Ecole polyte
 chnique fédérale de Lausanne (EPFL)\, co-director of the Blue Brain Proj
 ect and affiliated with the Brain Mind Institute. He studied physics at th
 e University of Heidelberg\, Germany\, supported by the German National Ac
 ademic Foundation. Later\, as a Fulbright Scholar\, he obtained his Master
 ’s degree in Physics from SUNY at Buffalo\, USA\, on simulating quantum 
 computers. He received his Ph.D. at the University of Heidelberg\, Germany
 \, under the supervision of the late Karlheinz Meier. For his thesis he co
 -designed an efficient implementation of a neural network in hardware. Sin
 ce 2005 he is involved in EPFL’s Blue Brain Project\, where he oversees 
 all computer science research and engineering to enable reconstruction and
  simulation of brain tissue models at unprecedented scale and detail. Sinc
 e he strongly believes that the futures of neuroscience and computing are 
 entangled\, he also directs his own research group to rethink today’s si
 mulation capabilities and leverage neuroscience for future computing.\n 
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STATUS:CONFIRMED
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