Project S.002 - Brain signal decoding
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]: https://s31.postimg.org/628344jcr/Capture111.png
