This book is a testimony to Evgeny Nikolaevich Sokolov's years of work in developing knowledge in the areas of perception, information processing and attention, and to the research it has spawned. It presents a historical account of a research program, leading the reader toward a cognitive science approach to the study of perception and attention. An understanding of neuroscience and mathematical modeling are helpful prerequisites. The co-authors collected data on orienting, attention, and information processing in the brain using single-cell recordings, central, autonomic, cognitive, behavioral, and verbal measures. This commonality brought them together for a series of meetings which resulted in the production of this book. The book ends with a review of some of the co-authors studies that have developed from or in parallel with Sokolov's research. They investigate, in particular, the concepts of attention and anticipation using a psychophysiological methodology.

This book is a testimony to Evgeny Nikolaevich Sokolov's years of work in developing knowledge in the areas of perception, information processing and attention, and to the research it has spawned. It presents a historical account of a research program, leading the reader toward a cognitive science approach to the study of perception and attention. An understanding of neuroscience and mathematical modeling are helpful prerequisites. The co-authors collected data on orienting, attention, and information processing in the brain using single-cell recordings, central, autonomic, cognitive, behavioral, and verbal measures. This commonality brought them together for a series of meetings which resulted in the production of this book. The book ends with a review of some of the co-authors studies that have developed from or in parallel with Sokolov's research. They investigate, in particular, the concepts of attention and anticipation using a psychophysiological methodology.

This book is devoted to the application of advanced signal processing on event-related potentials (ERPs) in the context of electroencephalography (EEG) for the cognitive neuroscience. ERPs are usually produced through averaging single-trials of preprocessed EEG, and then, the interpretation of underlying brain activities is based on the ordinarily averaged EEG. We find that randomly fluctuating activities and artifacts can still present in the averaged EEG data, and that constant brain activities over single trials can overlap with each other in time, frequency and spatial domains. Therefore, before interpretation, it will be beneficial to further separate the averaged EEG into individual brain activities. The book proposes systematic approaches pre-process wavelet transform (WT), independent component analysis (ICA), and nonnegative tensor factorization (NTF) to filter averaged EEG in time, frequency and space domains to sequentially and simultaneously obtain the pure ERP of interest. Software of the proposed approaches will be open-accessed.