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Normalization of Pain-Evoked Neural Responses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction.

Y. Bai, G. Huang, Y. Tu, A. Tan, Y. Hung, and Z. Zhang. Frontiers Comput. Neurosci., (2016)

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Lishan Gan

Tian Gan

Gan Lu

Lei Gan

Meng Gan

Other publications of authors with the same name

A new approach for single-trial detection of laser-evoked potentials and its application to pain prediction.G. Huang, P. Xiao, L. Hu, Y. Hung, and Z. Zhang. ICICS, page 1-4. IEEE, (2013)Proactive eviction of flow entry for SDN based on hidden Markov model.G. Huang, and H. Youn. Frontiers Comput. Sci., 14 (4): 144502 (2020)A novel approach to predict subjective pain perception from single-trial laser-evoked potentials.G. Huang, P. Xiao, Y. Hung, G. Iannetti, Z. Zhang, and L. Hu. NeuroImage, (2013)Automatic Parameter Optimization Based on CSP in Motor Imagery Brain-Computer Interface.J. Meng, G. Liu, G. Huang, and X. Zhu. ICASSP, page 622-625. IEEE, (2010)Interactions between two neural populations: A mechanism of chaos and oscillation in neural mass model.G. Huang, D. Zhang, J. Meng, and X. Zhu. Neurocomputing, 74 (6): 1026-1034 (2011)A novel and effective fMRI decoding approach based on sliced inverse regression and its application to pain prediction.Y. Tu, Z. Fu, A. Tan, G. Huang, L. Hu, Y. Hung, and Z. Zhang. Neurocomputing, (2018)Accessing dynamic functional connectivity using l0-regularized sparse-smooth inverse covariance estimation from fMRI.L. Zhang, Z. Fu, W. Zhang, G. Huang, Z. Liang, L. Li, B. Biswal, V. Calhoun, and Z. Zhang. Neurocomputing, (2021)EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition.Z. Liang, R. Zhou, L. Zhang, L. Li, G. Huang, Z. Zhang, and S. Ishii. CoRR, (2021)Functional connectivity profiles of the default mode and visual networks reflect temporal accumulative effects of sustained naturalistic emotional experience.S. Xu, Z. Zhang, L. Li, Y. Zhou, D. Lin, M. Zhang, L. Zhang, G. Huang, X. Liu, B. Becker and 1 other author(s). NeuroImage, (April 2023)Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition.W. Ye, Z. Zhang, M. Zhang, F. Teng, L. Zhang, L. Li, G. Huang, J. Wang, D. Ni, and Z. Liang. CoRR, (2023)

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Disambiguation of "Huang, Gan"

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Normalization of Pain-Evoked Neural Responses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction.

Please choose a person to relate this publication to

Lishan Gan

Tian Gan

Gan Lu

Lei Gan

Meng Gan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Huang, Gan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Normalization of Pain-Evoked Neural Responses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction.

Please choose a person to relate this publication to

Lishan Gan

Tian Gan

Gan Lu

Lei Gan

Meng Gan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Normalization of Pain-Evoked Neural Responses Using Spontaneous EEG Improves the Performance of EEG-Based Cross-Individual Pain Prediction.