Decoding mental events using a novel approach: combined neuroimaging and machine-learning techniques

Prof. Daniel D.Lee  (University of Pennsylvania)

Oct 13, 2011 2:00 PM





The combination of machine-learning and neuroimaging, namely multivariate pattern-based analysis (MVPA), is burgeoning as an alternative, though effective approach to address questions that the conventional univariate paradigm often failed to address adequately. In this talk, I will walk through the basic concepts of MVPA and present some illustrative examples of its application from my fMRI research in the domain of language and music.



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Last update: Oct 31, 2011