Constructing Time-Varying Directed EEG Network by Multivariate Nonparametric Dynamical Granger Causality
Time-varying directed electroencephalography (EEG) network is the potential tool for studying the dynamical causality among brain areas at a millisecond level; which conduces to understanding how our brain effectively adapts to information processing, giving inspiration to causality- and brain-inspi...
Saved in:
Main Authors: | Chanlin Yi (Author), Yuan Qiu (Author), Wanjun Chen (Author), Chunli Chen (Author), Yifeng Wang (Author), Peiyang Li (Author), Lei Yang (Author), Xiabing Zhang (Author), Lin Jiang (Author), Dezhong Yao (Author), Fali Li (Author), Peng Xu (Author) |
---|---|
Format: | Book |
Published: |
IEEE,
2022-01-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Algorithm for Nonparametric Estimation of a Multivariate Mixing Distribution with Applications to Population Pharmacokinetics
by: Walter M. Yamada, et al.
Published: (2020) -
Analysis of effects of meteorological variables on dengue incidence in Bangladesh using VAR and Granger causality approach
by: Md. Jamal Hossain, et al.
Published: (2024) -
Ralph Granger's Fortunes
by: Brown, William Perry, 1847-1923; Fry, W. H. [Illustrator] -
Cheers to anxiety: Granger causality insights on alcohol consumption patterns across 13 South American countries
by: Dinithi Palliyaguru, et al.
Published: (2024) -
Predicting the Symptom Severity in Autism Spectrum Disorder Based on EEG Metrics
by: Yangsong Zhang, et al.
Published: (2022)