Weighted Brain Network Metrics for Decoding Action Intention Understanding Based on EEG-Reference-Cited by-同舟云学术

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Weighted Brain Network Metrics for Decoding Action Intention Understanding Based on EEG

Published:2020-07-02 Issue: Volume:14 Page:
ISSN:1662-5161
Container-title:Frontiers in Human Neuroscience
language:
Short-container-title:Front. Hum. Neurosci.

Author:

Xiong Xingliang,Yu Zhenhua,Ma Tian,Luo Ning,Wang Haixian,Lu Xuesong,Fan Hui

Publisher

Frontiers Media SA

Subject

Behavioral Neuroscience,Biological Psychiatry,Psychiatry and Mental health,Neurology,Neuropsychology and Physiological Psychology

Reference76 articles.

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2. Meeting of minds: the medial frontal cortex and social cognition;Amodio;Nat. Rev. Neurosci.,2006

3. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis;Arnaud;J. Neurosci. Methods,2004

4. The dynamics of sensorimotor cortical oscillations during the observation of hand movements: an EEG study;Avanzini;PloS ONE,2012

5. Partial directed coherence: a new concept in neural structure determination;Baccalá;Biol. Cybern.,2001

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1. Three-stage Dynamic Brain-cognitive Model of Understanding Action Intention Displayed by Human Body Movements;Brain Topography;2024-06-14

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3. Event-related potential and oscillatory cortical activities of artistic methodology in information visualization design in human–computer interface;International Journal of Human-Computer Studies;2023-09

4. Cognitive Reorganization Due to Mental Workload: A Functional Connectivity Analysis Based on Working Memory Paradigms;Applied Sciences;2023-02-07

5. Power Spectral Density Features for Classifying Action Intention Understanding EEG Signals;2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP);2022-04-15

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