Prolog In 1990, in private conversations with Professor Walter Freeman we began a years-long analysis of the foundations of mesoscopic brain dynamics. We decided to approach neuroscience fron a new direction: linking neurodynamics to human behavior. We chose tennis (see Chap. 18 of the first edition). To link behavior to neurodynamics required a bridge. We chose learning. To fill in the gaps between learning and neurodynamics we hit upon the work of Professor Ellen Langer of Harvard. Because our interest was formation of mesoscopic components with maximum dynamical complexity while having the fewest components, Freeman suggested chaotic dynamical systems. Thus, we needed a method of formulating mathematical building blocks that produced complex dynamics from simple components. This led to nonlinear dynamics. To fill in the bridge between neurodynamics and nonlinear dynamics that produced the most complexity was, as suggested by Freeman, the phenomena of chaos.