Measurement of neurocognitive networks of the human brain

Summary form only given. Brain waves provide a classic example of a nonstationary, multidimensional signal processing problem. The purpose in analyzing them is to map the rapidly shifting neuroelectric patterns supporting conscious thought and action, patterns referred to neurocognitive networks. The author analyzes brain waves with an arsenal of DSP methods, some mundane and others more exotic. The persistent application of DSP techniques has been yielding fascinating new information about how minds work in the brain. Particularly amazing is the formation of task-specific neurocognitive networks during instants in which subjects are staring at a blank screen awaiting the next stimulus after they have been shown what task they will have to do. These patterns were interpreted as signs of a fundamental capacity of human brains to create detailed, real-time models of self and environment by which stimuli are interpreted and actions are initiated.<>