If events occur concurrently across different channels, and this occurs consistently in our training data, then there is a high probability that this is not a coincidence and can be considered as a defining characteristic of the class. Similarly, if a particular sequence of events occurs consistently for a given class, then our learning algorithm can take advantage of this.