Methods in Brain Connectivity Inference through Multivariate Time Series Analysis 1st Edition by Koichi Sameshima, Luiz Antonio Baccala ISBN 9781032923758 by Baccala, Luiz Antonio; Sameshima, Koichi 9781439845738, 1439845735 instant download after payment.

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ISBN 13: 9781032923758
Author: Koichi Sameshima, Luiz Antonio Baccala

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.

Methods in Brain Connectivity Inference through Multivariate Time Series Analysis 1st Table of contents:

1 Brain Connectivity An Overview
Section I: Fundamental Theory
2 Directed Transfer Function A Pioneering Concept in Connectivity Analysis
4 Partial Directed Coherence
5 Information Partial Directed Coherence
6 Assessing Connectivity in the Presence of Instantaneous Causality
7 Asymptotic PDC Properties
Section II: Extensions
8 Nonlinear Parametric Granger Causality in Dynamical Networks
9 Time-Variant Estimation of Connectivity and Kalman’s Filter
Section III: Applications
10 Connectivity Analysis Based on Multielectrode EEG Inversion Methods with and without fMRI A Priori Information
Section IV: Epilogue
13 Multivariate Time-Series Brain Connectivity A Sum-Up

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Tags: Koichi Sameshima, Luiz Antonio Baccala, Connectivity, Multivariate