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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.
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