Our research group studies questions at the intersection of neuroscience and computation. In particular, we develop and apply statistical signal processing and machine learning techniques to elucidate how populations of neurons carry out computations in the brain. Further, we also develop experimental and algorithmic techniques for neural engineering applications, including brain-machine interfaces.

Recent news

September 2016
We published a BMI used for typing in Proceedings of the IEEE; the algorithm for this study was recently reported in IEEE TBME. This work was featured in The Wall Street Journal, Stanford News, IEEE Spectrum, NPR KQED - Future of You, The Verge, and Wired UK. Paul and I also did a Reddit AMA regarding this paper.

August 2015
A novel decode algorithm incorporating neural population dynamics was published in Nature Communications, was featured in Stanford News