Ever since the development of digital brain imaging methods, the standard methodology for brain research has been to average together the brain maps of all individual subjects in a particular study and report the average brain map, then use this average map to make claims that are applied to individuals. However, this violates the assumptions of ergodic theory, rendering such conclusions questionable at best. In recent years, researchers—lead by neuroscientists like Mike Miller at the University of California, Santa Barbara—have found instances where average-based results literally correspond to no one. This realization has motivated scientists to look beyond averages to understand individual brain patterns. The Brain Individuality Project takes brain imaging data from previous studies that employed average-based methods and re-analyze the data using individual-focused methods from the science of the individual.