Inferring Functional Neural Connectivity with Phase Synchronization Analysis: A Review of Methodology
Functional neural connectivity is drawing increasing attention in neuroscience research. To infer functional connectivity from observed neural signals, various methods have been proposed. Among them, phase synchronization analysis is an important and effective one which examines the relationship of...
Main Authors: | Junfeng Sun, Zhijun Li, Shanbao Tong |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2012-01-01
|
Series: | Computational and Mathematical Methods in Medicine |
Online Access: | http://dx.doi.org/10.1155/2012/239210 |
Similar Items
-
Inference of functional neural connectivity and convergence acceleration methods
by: Nikitchenko, Maxim V.
Published: (2013) -
Functional Connectivity Pattern Analysis Underlying Neural Oscillation Synchronization during Deception
by: Peng Liu, et al.
Published: (2019-01-01) -
Inferring neural connectivity from multiple spike trains
by: Kim Won, et al.
Published: (2007-07-01) -
Understanding the Impact of Neural Variations and Random Connections on Inference
by: Yuan Zeng, et al.
Published: (2021-06-01) -
Comparison of Functional Connectivity Estimated from Concatenated Task-State Data from Block-Design Paradigm with That of Continuous Task
by: Yang Zhu, et al.
Published: (2017-01-01)