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Book synopsis

This graduate level textbook provides a coherent introduction to the body of main-stream algorithms used in electromagnetic brain imaging, with specific emphasis on novel Bayesian algorithms. It helps readers to more easily understand literature in biomedical engineering and related fields and be ready to pursue research in either the engineering or the neuroscientific aspects of electromagnetic brain imaging. This textbook will not only appeal to graduate students but all scientists and engineers engaged in research on electromagnetic brain imaging.

Book details

Book category Books in English Mathematics & science Biology, life sciences Life sciences: general issues

• Full title: Electromagnetic Brain Imaging
• Subtitle: A Bayesian Perspective
• Author: Kensuke Sekihara
• Language: English
• Binding: Paperback
• Number of pages: 270
• EAN: 9783319356433
• ISBN: 3319356437
• ID: 15193475
• Publisher: Springer International Publishing AG
• Weight: 432 g
• Dimensions: 154 × 234 × 22 mm
• Date of publishing: 06. October 2016

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