Advertisement

Electromagnetic Brain Imaging

A Bayesian Perspective

  • Kensuke Sekihara
  • Srikantan S. Nagarajan

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Kensuke Sekihara, Srikantan S. Nagarajan
    Pages 1-8
  3. Kensuke Sekihara, Srikantan S. Nagarajan
    Pages 9-28
  4. Kensuke Sekihara, Srikantan S. Nagarajan
    Pages 29-50
  5. Kensuke Sekihara, Srikantan S. Nagarajan
    Pages 51-74
  6. Kensuke Sekihara, Srikantan S. Nagarajan
    Pages 119-137
  7. Kensuke Sekihara, Srikantan S. Nagarajan
    Pages 139-169
  8. Kensuke Sekihara, Srikantan S. Nagarajan
    Pages 171-198
  9. Kensuke Sekihara, Srikantan S. Nagarajan
    Pages 199-213
  10. Back Matter
    Pages 215-270

About this book

Introduction

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.

Keywords

Bayesian algorithms Brain source reconstruction methods using MEG and EEG Electromagnetic brain imaging MEG / EEG Noninvasive reconstructions of brain activity and connectivity Signal processing algorithms

Authors and affiliations

  • Kensuke Sekihara
    • 1
  • Srikantan S. Nagarajan
    • 2
  1. 1.Tokyo Metropolitan University Dept. Systems Design & EngineeringTokyoJapan
  2. 2.University of California Department of Radiology and BiomedicalSan FranciscoUSA

Bibliographic information