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SUMMARY:Energy landscape of multivariate time series data - Naoki Masuda (
 University of Bristol)
DTSTART:20180215T150000Z
DTEND:20180215T160000Z
UID:TALK95263@talks.cam.ac.uk
CONTACT:Liang Wang
DESCRIPTION:I will introduce the so-called energy landscape analysis of mu
 ltivariate\ntime series data. In this analysis\, one identifies the state 
 of the system\nat each time point as the position of a "ball" constrained 
 on an energy\nlandscape inferred from data. A ball tends to go downhill on
  the energy\nlandscape whereas it sometimes goes uphill to transit from on
 e local minimum\nof the energy to another\, possibly corresponding to majo
 r dynamical\ntransitions. The method is based on the Ising model (also kno
 wn as Boltzmann\nmachine). The application of the method to neuroimaging a
 nd other data is\nillustrated. I will also pose technical challenges we ar
 e interested in\naddressing.\n\nNaoki Masuda received his PhD in 1998 from
  the University of Tokyo. He\nworked as Lecturer and then Associate Profes
 sor at the University of Tokyo\nbetween 2006 and 2014. He moved to Univers
 ity of Bristol\, Department of\nEngineering Mathematics as Senior Lecturer
 \, March 2014. His research\ninterests include network science\, mathemati
 cal biology and neuroscience (in\nparticular\, brain networks and social n
 euroscience).
LOCATION:FW26\, Computer Laboratory\, William Gates Building
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