Electromagnetic brain imaging : a Bayesian perspective / Kensuke Sekihara and Srikatan S. Nagarajan.
Material type:
TextPublication details: Cham : Springer, 2015.Description: xiv, 270 p. ; illustrationsISBN: - 9783319149462
- 616.8047547 23 Se463
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 616.8047547 Se463 (Browse shelf(Opens below)) | Available | 137084 |
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| 616.8047547 M623 Electrical neuroimaging | 616.8047547 Ow97 Statistical signal processing for neuroscience and neurotechnology | 616.8047547 Sa223 E E G signal processing | 616.8047547 Se463 Electromagnetic brain imaging : | 616.8075 M138 Handbook of neurological diagnostic methods | 616.80757 H894 Introduction to clinical electro-encephalography | 616.81 Sa131 Different Strokes: An IPS publication/ |
Includes bibliographical references and index.
1. Introduction to Electromagnetic Brain Imaging --
2. Minimum-Norm-Based Source Imaging Algorithms --
3. Adaptive Beamformers --
4. Sparse Bayesian (Champagne) Algorithm --
5. Bayesian Factor Analysis: A Versatile Framework --
6. A Unified Bayesian Framework for MEG/EEG Source --
7. Source-Space Connectivity Analysis Using Imaginary --
8. Estimation of Causal Networks: Source-Space Causality Analysis --
9. Detection of Phase{u2013}Amplitude Coupling in MEG Source Space: An Empirical Study --
Appendices.
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.
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