Mind Reading: Using Artificial Neural Nets to Predict Viewed Image Categories From EEG Readings - Silicon Valley Data Science

How can artificial neural nets help in understanding our brain's neural net? On the weekend of March 24–26, YCombinator-backed startup DeepGram hosted a deep learning hackathon. The weekend-long event included speakers and judges from Google Brain, NVIDIA, and Baidu. My colleague, Dr. Matt Rubashkin, also participated and you can read about his project here. I chose to work on one of the datasets suggested by DeepGram: EEG readings from a Stanford research project that predicted which category of images their test subjects were viewing using linear discriminant analysis.