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SUMMARY:Estimating whole brain dynamics using spectral clustering - Yi Yu 
 (University of Cambridge\; University of Bristol)
DTSTART:20160825T090000Z
DTEND:20160825T094000Z
UID:TALK67052@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span> 			<span> 				 					The estimation of time-varying netw
 orks for functional Magnetic Resonance Imaging (fMRI) data sets is of incr
 easing importance and interest. In this work\, we formulate the problem in
  a high-dimensional time series framework and introduce a data-driven meth
 od\, namely Network Change Points Detection (NCPD)\, which detects change 
 points in the network structure of a multivariate time series\, with each 
 component of the time series represented by a node in the network. NCPD is
  applied to various simulated data and a resting-state fMRI data set. This
  new methodology also allows us to identify common functional states withi
 n and across subjects. Finally\, NCPD promises to offer a deep insight int
 o the large-scale characterisations and dynamics of the brain.&nbsp\; This
  is joint work with Ivor Cribben (Alberta School of Business).</span></spa
 n>
LOCATION:Seminar Room 1\, Newton Institute
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