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OverviewFull Product DetailsAuthor: Koichi Sameshima (Department of Radiology and Oncology, University of São Paulo, Brazil) , Luiz Antonio Baccala (Department of Telecommunications and Control Engineering, University of São Paulo, Brazil)Publisher: Taylor & Francis Inc Imprint: CRC Press Inc Dimensions: Width: 15.60cm , Height: 2.00cm , Length: 23.40cm Weight: 0.570kg ISBN: 9781439845721ISBN 10: 1439845727 Pages: 282 Publication Date: 21 March 2014 Audience: Professional and scholarly , Professional and scholarly , Professional & Vocational , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationKoichi Sameshima studied electrical engineering and medicine at the University of São Paulo. He was introduced to cognitive neuroscience, brain electrophysiology, and time-series analysis during doctoral and postdoctoral training at the University of São Paulo and the University of California, San Francisco, respectively. His research themes revolve around neural plasticity, cognitive function, and information processing aspects of mammalian brain through behavioral, electrophysiological, and computational neuroscience protocols. He holds an associate professorship at the Department of Radiology and Oncology, Faculty of Medicine, University of São Paulo. Luiz A. Baccalá majored in electrical engineering and physics at the University of São Paulo and then furthered his study on time-series evolution of bacterial resistance to antibiotics in a nosocomial environment, obtaining an MSc at the same university. He has since been involved in statistical signal processing and analysis and obtained his PhD from the University of Pennsylvania by proposing new statistical methods of communication channel identification and equalization. His current research interests focus on the investigation of multivariate time-series methods for neural connectivity inference and for problems of inverse source determination using arrays of sensors that include fMRI imaging and multielectrode EEG processing. Tab Content 6Author Website:Countries AvailableAll regions |