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Source Localization with MEG Data: A Beamforming Approach Based on Covariance Thresholding
【2013.8.27 10:00-11:00am,S309】

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 2013-8-22 

  Colloquia & Seminars 

  Speaker

      

  Prof. Jian Zhang (University of Kent) 

  Title

                         

  Source Localization with MEG Data: A Beamforming Approach  Based on Covariance Thresholding   

  Time

   2013.8.271000-1100am                                      

  Venue

  S309

  Abstract

    Reconstructing neural activities using non-invasive sensor arrays outside the brain is an ill-posed inverse problem since the observed sensor measurements could result from an infinite number of possible neuronal sources. The sensor covariance-based beamformer mapping represents one of popular and simple solutions to the above problem. We propose a family of beamformers by using covariance thresholding. A general theory is developed on how their spatial and temporal dimensions determine their performance. Conditions are provided for the convergence rate of the associated beamformer estimation. The implications of the theory are illustrated by simulation and a real data analysis.  

  Affiliation

     

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