Approaches networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as what the models might be used for. Intended for cognitive science and neuroscience students, and also for engineers who want to go beyond formal algorithms to applications and computing strategies.