The document discusses how data mining techniques can be applied to analyze multichannel encephalographic recordings from brain activity by extracting patterns and relationships from large amounts of single-trial data in an unorganized format. It provides examples of how clustering and other algorithms have been used to summarize variability in regional brain responses and reveal couplings between ongoing activity and stimulus-evoked responses. The analysis of event-related dynamics using these methods has provided lessons about the dynamic processing performed by the brain.