Project S.002 - Brain signal decoding

June 19, 2016

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Each year, millions of people suffer brain-related disorders and injuries and as a result, many face a lifetime of impairment with limited treatment options. This competition is based on one of the greatest challenges in neuroscience today – how to interpret brain signals.
![Snapshot of the experiment. ][1] Using a tuned version of LD-SVN, the predictor was able to analyze brain signals and distinguish between pictures of faces and houses with an accuracy of 84%! [1]: