Methods in Brain Connectivity Inference through Multivariate Time Series Analysis
eBook - PDF

Methods in Brain Connectivity Inference through Multivariate Time Series Analysis

  1. 282 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Methods in Brain Connectivity Inference through Multivariate Time Series Analysis

Book details
Table of contents
Citations

About This Book

Interest in brain connectivity inference has become ubiquitous and is now increasingly adopted in experimental investigations of clinical, behavioral, and experimental neurosciences. Methods in Brain Connectivity Inference through Multivariate Time Series Analysis gathers the contributions of leading international authors who discuss different time series analysis approaches, providing a thorough survey of information on how brain areas effectively interact.

Incorporating multidisciplinary work in applied mathematics, statistics, and animal and human experiments at the forefront of the field, the book addresses the use of time series data in brain connectivity interference studies. Contributors present codes and data examples to back up their methodological descriptions, exploring the details of each proposed method as well as an appreciation of their merits and limitations. Supplemental material for the book, including code, data, practical examples, and color figures is supplied in the form of downloadable resources with directories organized by chapter and instruction files that provide additional detail.

The field of brain connectivity inference is growing at a fast pace with new data/signal processing proposals emerging so often as to make it difficult to be fully up to date. This consolidated panorama of data-driven methods includes theoretical bases allied to computational tools, offering readers immediate hands-on experience in this dynamic arena.

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Yes, you can access Methods in Brain Connectivity Inference through Multivariate Time Series Analysis by Koichi Sameshima, Luiz Antonio Baccala in PDF and/or ePUB format, as well as other popular books in Matemáticas & Probabilidad y estadística. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2016
ISBN
9781439845738
Edition
1
Topic
Matemáticas
Subtopic
Probabilidad y estadística

Table of contents

  1. Cover
  2. Contents
  3. Series Preface
  4. Preface
  5. Software and Data CD
  6. Editors
  7. Contributors
  8. Chapter 1: Brain Connectivity: An Overview
  9. Section I: Fundamental Theory
  10. Chapter 2: Directed Transfer Function: A Pioneering Concept in Connectivity Analysis
  11. Chapter 3: An Overview of Vector Autoregressive Models
  12. Chapter 4: Partial Directed Coherence
  13. Chapter 5: Information Partial Directed Coherence
  14. Chapter 6: Assessing Connectivity in the Presence of Instantaneous Causality
  15. Chapter 7: Asymptotic PDC Properties
  16. Section II: Extensions
  17. Chapter 8: Nonlinear Parametric Granger Causality in Dynamical Networks
  18. Chapter 9: Time-Variant Estimation of Connectivity and Kalman Filter
  19. Section III: Applications
  20. Chapter 10: Connectivity Analysis Based on Multielectrode EEG Inversion Methods with and without fMRI A Priori Information
  21. Chapter 11: Methods for Connectivity Analysis in fMRI
  22. Chapter 12: Assessing Causal Interactions among Cardiovascular Variability Series through a Time-Domain Granger Causality Approach
  23. Section IV: Epilogue
  24. Chapter 13: Multivariate Time-Series Brain Connectivity: A Sum-Up
  25. Color Insert
  26. Back Cover