We use machine learning tools to analyze neurophysiological and behavioral signals obtained with high-density probes and high-speed/resolution cameras. With supervised learning, we train models of known input and output data to predict behaviour. With unsupervised learning, we aim to discover hidden patterns on neurophysiological signals. We exploit our unique computational resources and get access to supercomputers for high speed performance.