More Baby Steps: Auditory P300!

We ran another P300 experiment- this time using an auditory Oddball paradigm. After collecting the data, we ran it through some cookie-cutter classification pipelines to get a feel for the trial-by-trial SNR (signal-to-noise ratio) associated with the P300.  All of the methods demonstrated a pretty low AUC (area under the curve), which means that on a trial-by-trial basis the classification isn’t very accurate, but we’re still above chance-level! We’re going to keep playing with some of our recorded data and try to implement some of our own algorithms.