Decoding Mind with Statistics

I did a really cool experiment in Brain Computer Interface (BCI) class today. We learned about mu waves, which are related to motor cortex. We trained a classifier by having the subject imagine the left/right movement (thinking in mind about which fist to clench). BCI paradigm like this is used for developing tools for people who have limited mobility (people who can't move their hands or talk). For example, they can control wheelchair directions, or can spell by directing on a screen of letters. I'm really glad that I took this class because I finally see how useful LDA (linear discriminant analysis) and clustering that I learned in math/statistics class can be applied to practical tools.