Lin Jiang

Orcid: 0000-0002-7892-118X

Affiliations:
  • University of Electronic Science and Technology of China, Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, Center for Information in Medicine, Chengdu, China


According to our database1, Lin Jiang authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Abnormal trial-to-trial variability in P300 time-varying directed eeg network of schizophrenia.
Medical Biol. Eng. Comput., November, 2024

Multimodal Covariance Network Reflects Individual Cognitive Flexibility.
Int. J. Neural Syst., April, 2024

Relationship Between Decision Making and Resting-State EEG in Adolescents With Different Emotional Stabilities.
IEEE Trans. Cogn. Dev. Syst., February, 2024

Dynamic causal modeling of P300 processing in schizophrenia.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

Heterogeneity characterization of psychiatric diseases based on common orthogonal basis extraction.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2024

2023
Information transmission velocity-based dynamic hierarchical brain networks.
NeuroImage, April, 2023

2022
A Novel Method for Constructing EEG Large-Scale Cortical Dynamical Functional Network Connectivity (dFNC): WTCS.
IEEE Trans. Cybern., 2022

The Task-Dependent Modular Covariance Networks Unveiled by Multiple-Way Fusion-Based Analysis.
Int. J. Neural Syst., 2022

2021
A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging.
IEEE Trans. Medical Imaging, 2021

Constructing EEG Large-Scale Cortical Functional Network Connectivity Based on Brain Atlas by S Estimator.
IEEE Trans. Cogn. Dev. Syst., 2021

2019
Emotion Recognition with the Feature extracted from brain Networks.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019


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