EEG system

Mobile & wireless EEG system; EEG & eye activities wirelessly transmitted to a screen.

Publications

Click here for the latest publications in Google Scholar

2025

Azami, H., Mirjalili, M., Rajji, T. K., Wu, C.-T., Humeau Heurtier, A., Jung, T.-P., Wei, C. S., Trinh, T.-T., & Liu, Y.-H. (2025). Electroencephalogram and event-related potential in mild cognitive impairment: Recent developments in signal processing, machine learning, and deep learning. IEEE Journal of Selected Areas in Sensors, 2, 162–184. https://doi.org/10.1109/jsas.2025.3552546
Ji, D., Yu, H., Xiao, X., Huang, Y., Zhou, X., Xu, M., Jung, T.-P., & Ming, D. (2025). A user-friendly BCI encoding by high frequency single-frequency-SDMA SSaVEF using MEG. Cognitive Neurodynamics, 19, 1–14. https://doi.org/10.1007/s11571-025-10279-1
Leng, Zhao, Wu, Lv, Lun, Li, Zhang, Zhang, Zhang, Xu, Yi, Jung. “Coherence-based graph convolution network to Assess Brain Reorganization in Spinal Cord Injury Patients,” International Journal of Neural System (2025) https://doi.org/10.1142/S0129065725500212
J Li, J., Lee, CH, Zhou, Y., Liu, T., Jung, T-P, Wan, X., Duan, D., Wen, D., (2025) “A novel AI-driven EEG generalized classification model for cross-subject and cross-scene analysis,“ Advanced Engineering Informatics, 63: 102971. https://www.sciencedirect.com/science/article/abs/pii/S1474034624006220
Liu, Z., Mei, J., Tang, J. et al., “A memristor-based adaptive neuromorphic decoder for co-evolutional brain-computer interfaces,” Nature Electronics, https://www.nature.com/articles/s41928-025-01340-2
Pan, L., Wang, K., Huang, Y., Sun, X., Meng, J., Yi, W., Xu, M., Jung, T.-P., & Ming, D. (2025). Enhancing motor imagery EEG classification with a Riemannian geometry-based spatial filtering (RSF) method. Neural Networks, 170, 107511. https://doi.org/10.1016/j.neunet.2025.107511
Wang, C., Jiang, X., Lv, C., Meng, Q., Zhao, P., Yan, D., ... & Leng, J. “GraphSleepFormer: A multi-modal graph neural network for sleep staging in OSA patients.” Journal of neural engineering, 2025, https://iopscience.iop.org/article/10.1088/1741-2552/adb996/meta
Wen, D., Xing, Y., Yao, Y., Liang, G., Xing, Y., Jung, T.-P., Yu, H., Xie, X., Wan, X., Liu, T., Duan, D., Li, D., & Zhou, Y. (2025). Transforming long-term adjunctive therapy for cognitive impairment: The role of multimodal self-adaptive digital medicine. Frontiers in Neurology, 16, 1571817. https://doi.org/10.3389/fneur.2025.1571817
Xu F, Shi W, Lv C, Sun Y, Guo S, Feng C, Zhang Y, Jung TP, Leng J. “Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion.” Int J Neural Syst. 2025 Jan;35(1):2450069. https://pubmed.ncbi.nlm.nih.gov/39560446/
Yang, Y., Wang, Z., Song, Y., Jia, Z., Wang, B., Jung, T.-P., & Wan, F. (2025). Exploiting the intrinsic neighborhood semantic structure for domain adaptation in EEG-based emotion recognition. IEEE Transactions on Affective Computing. https://doi.org/10.1109/TAFFC.2025.3564272

2024

He, C., Chen, Y. Y., Phang, C. R., Chen, I. P., Tzou, S. C., Jung, T. -P., & Ko, L. W. “Exploring Embodied Cognition and Brain Dynamics under Multi-tasks Target Detection in Immerse Projector-based Augmented Reality (IPAR) Scenarios,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2024. https://doi.org/10.1109/TNSRE.2024.3442241
Ji, D., Xiao, X., Wu, J., He, X., Zhang, G., Guo, R., Liu, M, Xu, M., Lin, Q., Jung, T-P. "A user-friendly visual brain-computer interface based on high-frequency steady-state visual evoked fields recorded by OPM-MEG." Journal of Neural Engineering 21(3), 2024. https://iopscience.iop.org/article/10.1088/1741-2552/ad44d8/meta Role:Senior author
Jin J, Zhao X, Daly I, Li S, Wang X, Cichocki A, Jung T-P. (2024) "A Growing Bubble Speller Paradigm for Brain-Computer Interface Based on Event-related Potentials," in IEEE Transactions on Biomedical Engineering, https://ieeexplore.ieee.org/abstract/document/10745727 Role: Senior author
Leng, J., Gao, L., Jiang, X., Lou, Y., Sun, Y., Wang, C., ... & Jung, T.-P. (2024). “A multi‐feature fusion graph attention network for decoding motor imagery intention in spinal cord injury patients.” Journal of Neural Engineering, 21(6), 066044.
Leng, J., Li, H., Shi, W., Gao, L., Lv, C., Wang, C., Xu, F., Zhang, Y., & Jung, T.- P. “Time-frequency-space EEG decoding model based on dense graph convolutional network for stroke,” IEEE Journal of Biomedical and Health Informatics. 2024. https://ieeexplore.ieee.org/abstract/document/10552288 Role: Senior author
Li, J., Li, H., Shi, W., Gao, L., Lv, C., Wang, C., Xu, F., Zhang, Y., Jung, T-P. (2024) "A Radial Basis Deformable Residual Convolutional Neural Model Embedded with Local Multi-modal Feature Knowledge and Its Application in Cross-subject Classification." Expert Systems with Applications, 257, 2024, p.125089, https://doi.org/10.1016/j.eswa.2024.125089 Role: Senior authorhttps://iopscience.iop.org/article/10.1088/1741-2552/ad9403/meta Role: Senior author
Liu, X., Wang, Z., Liu, X., Gong, L., Valdes Sosa, P.A., Becker, B., Jung, T-P., Dai, X., Wan, F., Activation network improves spatiotemporal modelling of human brain communication processes", NeuroImage, vol. 285, Jan. 2024.
Ng, HYH, Wu, CW, Hsu, HC, Huang, CM, Hsu, AL, Chao, YP, Jung, T-P, Chuang CH (2024), “Neurological Evidence of Diverse Self-Help Breathing Training With Virtual Reality and Biofeedback Assistance: Extensive Exploration Study of Electroencephalography Markers,” JMIR Formative Research 8 (1), e55478 https://formative.jmir.org/2024/1/e55478/
Su, C-H, Ko, L-W, Jung, T-P., Onton, J., Tzou, S-C., Juang, J-C., Hsu, C-Y., "Extracting Stress-Related EEG Patterns from Pre-Sleep EEG for Forecasting Slow-Wave Sleep Deficiency," IEEE Transactions on Neural Systems and Rehab Engineering, doi: 10.1109/TNSRE.2024.3394471. https://ieeexplore.ieee.org/abstract/document/10510041
Tran, XT., Do, T., Pal, N.R., Jung, T-P, Lin, C-T. “Multimodal fusion for anticipating human decision performance,” Sci Rep 14, 13217 (2024). https://doi.org/10.1038/s41598-024-63651-2
Tseng, H. C., Tai, K. Y., Ma, Y. Z., Van, L. D., Ko, L. W., & Jung, T.-P. (2024). “Accurate Mental Stress Detection Using Sequential Backward Selection and Adaptive Synthetic Methods.” IEEE transactions on neural systems and rehabilitation engineering https://doi.org/10.1109/TNSRE.2024.3447274 Role: Senior author
Xu, F., Ming, D., Jung, T-P., Xu, P., Xu, M. "Editorial: The Application of Artificial Intelligence in Brain-computer Interface and Neural System Rehabilitation." Frontiers in Neuroscience, vol. 17, 2023, p. 1290961, https://doi.org/10.3389/fnins.2023.1290961. Accessed 22 Aug. 2024.
Zhang, Y., Li, Q., Nahata, S., Jamal, T., Cheng, S. K., Cauwenberghs, G., & Jung, T.-P. (2024). Integrating Large Language Model, EEG, and Eye-Tracking for Word-Level Neural State Classification in Reading Comprehension. IEEE transactions on neural systems and rehabilitation engineering, 2024. https://doi.org/10.1109/TNSRE.2024.3435460 Role: Senior author

2023

Chiang KJ, Dong S, Cheng CK, Jung TP. Using EEG signals to assess workload during memory retrieval in a real-world scenario. Journal of Neural Engineering. 2023 May;20(3). DOI: 10.1088/1741-2552/accbed. PMID: 37040738.
Chou WC, She HC, Jung TP. Human Brain Dynamics and Coordination Reflect the Task Difficulty of Optical Image Relational Reasoning. International Journal of Neural Systems. 2023 May;33(5):2350018. DOI: 10.1142/s0129065723500181. PMID: 36842997.
Han J, Xu M, Xiao X, Yi W, Jung TP, Ming D. A high-speed hybrid brain-computer interface with more than 200 targets. J Neural Eng. 2023 Jan 6. doi: 10.1088/1741-2552/acb105. Epub ahead of print. PMID: 36608342.
He, C., Chen, Y-Y, Phang, C-R., Stevenson, C., Chen, Y-P., Jung, T-P., Ko, L-W., "Diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review," IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2023.3239053.
Liu S., Wong, C. M., Liu, X., Wang, H., Bezerianos, A., Sun, Y., Jung, T-P., and Wan, F."Driving Fatigue Effects on Cross-Frequency Phase Synchrony Embedding in Multilayer Brain Network," IEEE Transactions on Instrumentation and Measurement, 72; 1-14, 2023, 4005614, doi: 10.1109/TIM.2023.3271740.
Luo, R., Xu, M., Zhou, X., Xiao, X., Jung, T.-P., Ming, D. "Data augmentation of SSVEPs using source aliasing matrix estimation for brain-computer interfaces," in IEEE Transactions on Biomedical Engineering, https://ieeexplore.ieee.org/document/9971465
Luo, R., Xiao, X., Chen, E., Meng, L., Jung, T. P., Xu, M., & Ming, D. Almost free of calibration for SSVEP-based brain-computer interfaces. Journal of neural engineering, 20(6), 2023.
Meng, L., Jiang, X., Huang, J., Zeng, Z., Yu, S., Jung, T. P., and Wu, D. “EEG-based brain-computer interfaces are vulnerable to backdoor attacks.” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 31:2224-34, 2023.
Nakanishi, M, Miner, A., Jung, T-P and Graves, J. "Novel Moving Steady-State Visual Evoked Potential Stimulus to Assess Afferent and Efferent Dysfunction in Multiple Sclerosis," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023. doi: 10.1109/TNSRE.2023.3243554.
Ng HH, Wu CW, Huang FY, Huang CM, Hsu CF, Chao YP, Jung TP, Chuang CH. "Enhanced electroencephalography effective connectivity in frontal low-gamma band correlates of emotional regulation after mindfulness training. " Journal of Neuroscience Research. 2023 Jan 30, https://doi.org/10.1002/jnr.25168.
Wang, K., Qiu, S., Wei, W., Zhang, Y., Wang, S., He, H., Xu, M., Jung, T-P., Ming, D. “A multimodal approach to estimating vigilance in SSVEP-based BCI,”, Expert Systems with Applications, 225, 120117, 2023.
Wang, Z., Wong, C.M., Rosa, A., Qian, T., Jung, T-P and Wan, F. "Stimulus-Stimulus Transfer Based on Time-Frequency-Joint Representation in SSVEP-Based BCIs," in IEEE Transactions on Biomedical Engineering, vol. 70, no. 2, pp. 603-615, Feb. 2023, doi: 10.1109/TBME.2022.3198639.
Wang K, Qiu S, Wei W, Yi W, He H, Xu M, Jung TP, Ming D. “Investigating EEG-based cross-session and cross-task vigilance estimation in BCI systems, “Journal of Neural Engineering. 2023 Sep 6;20(5). https://iopscience.iop.org/article/10.1088/1741-2552/acf345/meta
Wong, CM, Wang, Z, Wang, B, Rosa, A, Jung, T-P, and Wan, F. "Enhancing Detection of Multi-Frequency-Modulated SSVEP Using Phase Difference Constrained Canonical Correlation Analysis," in IEEE Transactions on Neural Systems and Rehabilitation Engineering, doi: 10.1109/TNSRE.2023.3243290.
Xiao, X., Wang, L., Xu, M., Wang, K., Jung, T.-P., & Ming, D. (2023) “A data expansion technique based on training and testing sample to boost the detection of SSVEPs for brain-computer interfaces,” Journal of Neural Engineering. https://iopscience.iop.org/article/10.1088/1741-2552/acf7f6
Xiao, X., Wang, L., Xu, M., Wang, K., Jung, T.-P., & Ming, D. A data expansion technique based on training and testing sample to boost the detection of SSVEPs for brain-computer interfaces. Journal of Neural Engineering. https://iopscience.iop.org/article/10.1088/1741-2552/acf7f6
Xie Y, Wang K, Meng J, Yue J, Meng L, Yi W, Jung TP, Xu M, Ming D. “Cross-dataset transfer learning for Motor Imagery signal classification via multi-task learning and pre-training,” Journal of Neural Engineering. 2023 Sep 29. https://iopscience.iop.org/article/10.1088/1741-2552/acfe9c/meta

2022

Cao H, Jung TP, Chen Y, et al. “Research advances in non-invasive brain-computer interface control strategies,” Journal of Biomedical Engineering, 2022 Oct;39(5):1033-1040. DOI: 10.7507/1001-5515.202205013.
Chuang, C-H., Chang, K-Y, Huan, C-S., Jung, T-P. “IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal,” NeuroImage, 263, 2022, 119586, https://doi.org/10.1016/j.neuroimage.2022.119586.
Hsu, S-H, Lin, Y., Onton, J., Jung, T-P., Makeig, S. “Unsupervised learning of brain state dynamics during emotion imagination using high-density EEG,” NeuroImage, 249, 2022, https://doi.org/10.1016/j.neuroimage.2022.118873.
Tsai, B.-Y., Diddi, S. V. S, Ko, L.-W., Wang, S.-J., Chang, C.-Y., and Jung, T. -P., "Development of an Adaptive Artifact Subspace Reconstruction Based on Hebbian/Anti-Hebbian Learning Networks for Enhancing BCI Performance," IEEE Transactions on Neural Networks and Learning Systems (IF=14.255), 2022, doi: 10.1109/TNNLS.2022.3174528.
Yang M, Jung TP, Han J, Xu M, Ming D. “A review of researches on decoding algorithms of steady-state visual evoked potentials,” Journal of Biomedical Engineering. 2022 Apr;39(2):416-425. DOI: 10.7507/1001-5515.202111066.

2021

Chuang, CH, Lu, SW, Chao, YP, Peng, PH, Hsu, HC, Hung, CC, Chang, CL, Jung, T-P. ,“Near-zero phase-lag hyperscanning in a novel wireless EEG system,” Journal of Neural Engineering 18 (6), 066010, 2021. doi: 10.1088/1741-2552/ac33e6.
Chuang, CH, Chang, KY, Huang, CS, Jung, T-P., “IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact Removal,” arXiv preprint arXiv:2111.10026, 2021.
Do, T-T N, Jung, T-P., Lin, C-T, “Retrosplenial segregation reflects the navigation load during ambulatory movement,” IEEE Trans Neural Syst Rehabil Eng. 2021; 29: 488-496. doi:10.1109/TNSRE.2021.3057384.
Huang, KC, John, AR., Jung, T-P., Tsai, WF., Yu, YH., Lin, C-T, “Investigating brain activities and neural comodulations in motion sickness between passengers and drivers,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, pp. 1259-1267, 2021. doi:10.1109/TNSRE.2021.3092876.
Hydra Ng, H-Y, Wu, C-W, Huang, F-Y, Cheng, Y-T, Guu, S-F, Huang, C-M, Hsu, C-F, Chao, Y-P, Jung, T-P., Chuang, C-H, “Mindfulness Training Associated With Resting-State Electroencephalograms Dynamics in Novice Practitioners via Mindful Breathing and Body-Scan,” Front. Psychol., Vol.12, Article ID 241489, 15 pages. doi.org/10.3389/fpsyg.2021.748584.
Ko, L-W, Sankar, D S. V., Huang, Y-f, Lu, Y-C, Shaw, S., Jung, T-P., “SSVEP-assisted RSVP brain–computer interface paradigm for multi-target classification,” Journal of Neural Engineering, 18(1), Article ID 016021, 2021. doi: 10.1088/1741-2552/abd1c0.
Miao, Y., Jin, J., Daly, I., Zuo, C., Wang, X., Cichocki, A., Jung, T-P., “Learning common time-frequency-spatial patterns for motor imagery classification,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, pp.699 70, 2021.doi: 10.1109/TNSRE.2021.3071140.
Sun, J., Jung, T-P., Xiao, X., Meng, J., Xu, M., Ming, D., “Classification algorithms of error-related potentials in brain-computer interface,” Journal of biomedical engineering, 38(3),pp. 463-472., 2021. doi: 10.7507/1001-5515.202012013.
Van, LD, Tu, YC, Chang, CY, Wang, HJ, Jung, T-P., “Hardware-Oriented Memory-Limited Online Artifact Subspace Reconstruction (HMO-ASR) Algorithm,” IEEE Transactions on Circuits and Systems II: Express Briefs, 68 (12), pp. 3493-3497, 2021. doi: 10.1109/TCSII.2021.3124253.
Wei, CS, Keller, C, Li, J, Lin, YP, Nakanishi, M, Wagner, J, Wu, W, Zhang, Y, Jung, T-P. “Inter-and Intra-subject Variability in Brain Imaging and Decoding,” Frontiers in Computational Neuroscience, 15:791129, 2021. doi: 10.3389/fncom.2021.791129
Wong, C.M., Wang, Z., Rosa, A.C., Chen, C.L.P., Jung, T-P., Hu, Y, Wan, F., “Transferring Subject-Specific Knowledge Across Stimulus Frequencies in SSVEP-Based BCIs,” IEEE Transactions on Automation Science and Engineering, 2021. doi: 10.1109/TASE.2021.3054741.
Wong, CM, Wang, Z, Nakanishi, M, Wang, B, Rosa, A, Chen, P, Jung, T-P., “Online Adaptation Boosts SSVEP-Based BCI Performance,” IEEE Transactions on Biomedical Engineering, 2021. doi: 10.1109/TBME.2021.3133594.
Wu, CT, Huang, HC, Huang, S, Chen, I, Liao, SC, Chen, CK, Lin, C, Lee, SH, Chen, MH, ,Chia- Tsai, Fen, Weng, CH, Ko, LW, Jung, T-P., Liu, YH, “Resting-State EEG Signal for Major Depressive Disorder Detection: A Systematic Validation on a Large and Diverse Dataset,” Biosensors, 11(12), 49, 2021. doi:10.3390/bios11120499.
Xiao, X., Xu, M., Han, J., Yin, E., Liu, S., Zhang, X., Jung, T-P., Ming, D., “Enhancement for P300-speller classification using multi-window discriminative canonical pattern matching,” Journal of neural engineering, 18 (4), 046079, 2021.
Xu, L., Xu, M., Jung, T-P., Ming, D., “Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface,” Cognitive Neurodynamics, 15 (4), pp. 569-584, 2021. oi:10.1007/s11571-021-09676-z.
Xu, L., Xu, M., Ma, Z., Wang, K., Jung, T-P., Ming, D., “Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization,” Journal of Neural Engineering, 18 (4), 0460e5, 2021. doi: 10.1088/1741-2552/ac1ed2.
Xu, M., Meng, J., Yu, H., Jung, T-P., Ming, D., “Dynamic Brain Responses Modulated by Precise Timing Prediction in an Opposing Process,” Neuroscience Bulletin, 37(1), pp. 70–80, 2021.https://link.springer.com/article/10.1007/s12264-020-00527-1
Xu, F., Rong, F., Leng, J., Sun, T., Zhang, Y., Siddharth, S., Jung, T-P., “Classification of Left-Versus Right-Hand Motor Imagery in Stroke Patients Using Supplementary Data Generated by CycleGAN,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, 29, pp.2417-2424, 2021. doi: 10.1109/TNSRE.2021.3123969.
Xu, M, He, F, Jung, T-P., Gu, X, Ming, D, “Current Challenges for the Practical Application of Electroencephalography-Based Brain–Computer Interfaces,” Engineering, 7(12), pp.1710-1712, 2021.doi:10.1016/j.eng.2021.09.011.
Yang, SR, Jung, T-P., Lin, CT, Huang, KC, Wei, CS, Chiueh, H, Hsin, YL, Liou, GT, Wang, LC, “Recognizing Tonal and Non-Tonal Mandarin Sentences for EEG-based Brain-Computer Interface,” IEEE Transactions on Cognitive and Developmental Systems, 2021. doi:10.1109/TCDS.2021.3137251.
Zhang, X., Wu, D., Ding, L., Luo, H., Lin, C-T, Jung, T-P., Chavarriaga, Ricardo, “Tiny noise, big mistakes: adversarial perturbations induce errors in brain–computer interface spellers,” National Science Review, 8(4), 2021. doi:10.1093/nsr/nwaa233.
Zhou, X., Xu, M., Xiao, X., Wang, Y., Jung, T-P., Ming, D., “Detection of fixation points using a small visual landmark for brain–computer interfaces,” Journal of Neural Engineering, 18 (4), 046098, 2021. doi: 10.1088/1741-2552/ac0b51.

2020

Click here for additional 2020 publications in Google Scholar
HY Chang, CE Stevenson, TP Jung, LW Ko (2020). Stress-induced effects in resting EEG spectra predict the performance of SSVEP-based BCI IEEE Transactions on Neural Systems and Rehabilitation Engineering. Volume 28, Issue 8.
Chang, C-Y., Hsu, S-H., Pion-Tonachini, L., Jung, T-P. (2020). Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-channel EEG Recordings, IEEE Trans. Biomed. Eng. Volume: 67(4), April 2020. DOI: 10.1109/TBME.2019.2930186.
Gu, X., Cao, Z., Jolfaei, A., Xu, P., Wu, D., Jung, T-P., Lin, C-T. (submitted Jan. 2020). EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications, arXiv preprint arXiv:2001.11337.
Jin, J., Chen, Z., Xu, R., Miao, Y., Wang, X., Jung, T-P. (2020). Developing a Novel Tactile P300 Brain-Computer Interface with a Cheeks-Stim Paradigm, IEEE Transactions on Biomedical Engineering, 2020 Jan 9. doi: 10.1109/TBME.2020.2965178.
LW Ko, O Komarov, WK Lai, WG Liang, TP Jung (2020). Eyeblink recognition improves fatigue prediction from single-channel forehead EEG in a realistic sustained attention task. Journal of Neural Engineering, Volume 17, Number 3.
Komarov, O., Ko, L-W., Jung, T-P. (2020). Associations among emotional state, sleep quality, and resting-state EEG spectra: a longitudinal study in graduate students, IEEE Trans. Neural Syst. Rehab. Eng., Feb. 2020. DOI: 10.1109/TNSRE.2020.2972812.
O. Komarov, L. Ko and T. Jung (2020). Associations Among Emotional State, Sleep Quality, and Resting-State EEG Spectra: A Longitudinal Study in Graduate Students, in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 4, pp. 795-804, April 2020, doi: 10.1109/TNSRE.2020.2972812.
Li, H., Feng, S., Ma, L., Xu, Z., Xu, R., Jung, T-P. (2020). Common Cross-Spectral Patterns of Electroencephalography for Reliable Cognitive Task Identification, IEEE Access 8, 17652-62, 2020. DOI: 10.1109/ACCESS.2020.2967814.
Nakanishi, M., Xu, M., Wang, Y., Chiang, K-J, Han, J., Jung, T-P. (2020). Questionable Classification Accuracy Reported in “Designing a Sum of Squared Correlations Framework for Enhancing SSVEP-Based BCIs, IEEE transactions on neural systems and rehabilitation engineering, Feb. 2020. DOI: 10.1109/TNSRE.2020.2974272.
JT Ng, W Liu, X Hu, TP Jung (2020). Evaluation of Low-end Virtual Reality Content of Cultural Heritage: A Preliminary Study with Eye Movement.
Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020, Pages 365–368.
S Panwar, P Rad, TP Jung, Y Huang (2020). Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events. IEEE Transactions on Neural Systems and Rehabilitation Engineering. Volume 28, Issue 8.
J Tang, M Xu, Z Liu, J Qiao, S Liu, S Chen, TP Jung, D Ming (2020). A brain-computer interface based on multifocal SSVEPs detected by inter-task-related component analysis. IEEE Access. Vol. 8.
H Wang, X Liu, H Hu, F Wan, T Li, L Gao, A Bezerianos, Y Sun, TP Jung (2020). Dynamic reorganization of functional connectivity unmasks fatigue related performance declines in simulated driving. IEEE Transactions on Neural Systems and Rehabilitation Engineering. Volume: 28 , Issue: 8 , Aug. 2020.
M Xu, J Meng, H Yu, TP Jung, D Ming (2020). Dynamic Brain Responses Modulated by Precise Timing Prediction in an Opposing Process.
Neuroscience Bulletin, 1-11.
M Xu, J Han, Y Wang, TP Jung, D Ming. (2020). Implementing over 100 command codes for a high-speed hybrid brain-computer interface using concurrent P300 and SSVEP features. IEEE Transactions on Biomedical Engineering.
Zhang, X., Wu, D., Ding, L., Luo, H., Lin,, C-T., Jung, T-P, Chavarriaga, R. (submitted Jan. 2020). Tiny Noise Can Make an EEG-Based Brain-Computer Interface Speller Output Anything, arXiv preprint arXiv:2001.11569.

2019

Adrian, J.A., Siddharth, S., Baquar, SZA, Jung, T.P., Deák, G. (2019). Decision-Making in a Social Multi-Armed Bandit Task: Behavior, Electrophysiology and Pupillometry. arXiv preprint arXiv:1905.07474.
Chang, C.Y., Hsu, S.H., Pion-Tonachini, L., Jung, T.P. (2019). Evaluation of Artifact Subspace Reconstruction for Automatic Artifact Components Removal in Multi-channel EEG Recordings. IEEE Transactions on Biomedical Engineering.
Chiang, K.J., Wei, C.S., Nakanishi, M., Jung, T.P. (2019). Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 424-427.
Hsu, S.H., Nakanishi, M., Chang, C.Y., Cauwenberghs, G., Jung, T.P. (2019). Modeling EEG Dynamics of Self-Imagery Emotions: a Pilot Study. International IEEE/EMBS Conference on Neural Engineering.
Jung, T.P., Siddharth, S., Sejnowski, T. (2019). Bio-sensing and eye-tracking system. US Patent App. 16/325,567.
Nakanishi, M., Wang, Y-T., Wei, C-S., Chiang, K-J., Jung, T-P. (2019). Facilitating Calibration in High-Speed BCI Spellers via Leveraging Cross-Device Shared Latent Responses, IEEE Trans. Biomed. Eng, Volume: 67(4), July 18, 2019, DOI: 10.1109/TBME.2019.2929745.
Panwar, S., Rad, P., Jung, T-P., Huang, Y-F. (2019). Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events, arXiv preprint arXiv:1911.04379.
Siddharth, S., Jung, T-P., Sejnowski, T. (2019). Utilizing Deep Learning Towards Multi-modal Bio-sensing and Vision-based Affective Computing, IEEE Trans. Affective Computing. DOI: 10.1109/TAFFC.2019.2916015.
Siddharth, S., Jung, T-P., Sejnowski, T.J. (2019). Impact of Affective Multimedia Content on the Electroencephalogram and Facial Expressions, Scientific reports 9 (1), 1-10, 2019.
Tsai, P.Y., She, H.C., Chen, S.C., Huang, L.Y., Chou, W.C., Duann, J.R., Jung, T.P. (2019). Eye fixation-related fronto-parietal neural network correlates of memory retrieval. International Journal of Psychophysiology 138, 57-70.
Van, L.D., Lu, T.C., Jung, T.P., Wang, J.F. (2019). Hardware-oriented Memory-limited Online Fastica Algorithm and Hardware Architecture for Signal Separation. ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1438-1442.
Xiao, X, Xu, M, Jin, J., Wang, Y., Jung, T-P., Ming, D. (2019). Discriminative canonical pattern matching for single-trial classification of ERP components, IEEE Trans. Biomed. Eng. DOI: 10.1109/TBME.2019.2958641.
Yu, T., Wei, C.S., Chiang, K.J., Nakanishi, M., Jung, T.P. (2019). EEG-Based User Authentication Using a Convolutional Neural Network. 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER).

2018

Chang, C.Y., Hsu, S-H., Pion-Tonachini, L., & Jung, T-P. (2018, July). Evaluation of Artifact Subspace Reconstruction for Automatic EEG Artifact Removal. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1242-1245). IEEE. DOI: 10.1109/EMBC.2018.8512547.
Cherng, F.Y., Lin, W.C., King, J. T., & Lee, Y. C. (2018, April). Understanding the Influence of Musical Parameters on Cognitive Responses of Audio Notifications. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (p. LBW627). ACM. doi:10.1145/3170427.3188572.
Chiang, K.J., Wei, C-S., Nakanishi, M., Jung, T-P. (2018). Cross-Subject Transfer Learning Improves the Practicality of Real-World Applications of Brain-Computer Interfaces. Neurons and Cognition, submitted on 5 Oct 2018 (v1), last revised 3 Nov 2018 (this version, v3). arXiv:1810.02842 [q-bio.NC]
Choi, H.S., Kim, S., Oh, J.E., Yoon, J. E., Park, J. A., Yun, C. H., & Yoon, S. (2018, August). XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography. In Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 111-121). ACM. doi:10.1145/3233547.3233567.
Fonseca, A., Kerick, S., King, J.T., Lin, C. T., & Jung, T-P. (2018). Brain network changes in fatigued drivers: a longitudinal study in a real-world environment based on the effective connectivity analysis and actigraphy data. Frontiers in human neuroscience, 12. doi: [10.3389/fnhum.2018.00418].
Huang, L.Y., She, H-C., & Jung, T-P. (2018). Neural Oscillation Correlates Chemistry Decision-Making. International journal of neural systems, 28(03), 1750031. DOI: https://doi.org/10.1142/S0129065717500319.
Hsu, S-H., Pion-Tonachini, L., Palmer, J., Miyakoshi, M., Makeig, S., Jung, TP. (2018). Modeling brain dynamic state changes with adaptive mixture independent component analysis. NeuroImage, Vol. 183: 47-61. December 2018. DOI: https://doi.org/10.1016/j.neuroimage.2018.08.001.
Kim, S., Yuan-Pin, L.I.N., Zao, J., Medeiros, F. and Jung, T-P., Ngoggle, 2018. Head-mounted display eeg device. U.S. Patent Application 15/572,482.
Nakanishi, M., Wang, Y., Chen, X., Wang, Y.T., Gao, X., Jung, T-P. (2018). Enhancing detection of SSVEPs for a high-speed brain speller using task-related component analysis. IEEE Transactions on Biomedical Engineering 65 (1), 104-112. DOI: 10.1109/TBME.2017.2694818.
Nakanishi, M., Wang, Y-T., Jung, T-P. (2018). Spatial filtering techniques for improving individual template-based SSVEP detection. Chapter in book: Signal Processing and
Machine Learning for Brain-Machine Interfaces. Publisher: The Institution of Engineering and Technology, pp. 219-239. DOI: 10.1049/pbce114e_ch11.
Nakanishi, M., Wang, Y-T., Jung, T-P. (2018). Transferring Shared Responses Across Electrode Montages for Facilitating Calibration in High-Speed Brain Spellers. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). DOI: 10.1109/EMBC.2018.8512269.
Nakanishi, M., Wang, Y., Chen, X., Wang, Y.T., Gao, X., Jung, T-P. (2018). Enhancing Detection of SSVEPs for a High-Speed Brain Speller Using Task-Related Component Analysis. IEEE Transactions on Biomedical Engineering, 65(1), 2018. DOI: 10.1109/TBME.2017.2694818.
Pion-Tonachini, L., Hsu, S. H., Chang, C. Y., Jung, T. P., & Makeig, S. (2018, July). Online Automatic Artifact Rejection using the Real-time EEG Source-mapping Toolbox (REST). In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 106-109). IEEE. DOI: 10.1109/EMBC.2018.8512191.
Siddharth, S., Jung, TP, Sejnowski, TJ (2018). Multi-modal Approach for Affective Computing. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). DOI: 10.1109/EMBC.2018.8512320.
Siddharth, S., Patel, A., Jung, T-P., Sejnowski, S. (2018). A Wearable Multi-modal Bio-sensing System Towards Real-world Applications. IEEE Transactions on Biomedical Engineering (Early Access), Sept. 4, 2018. DOI: 10.1109/TBME.2018.2868759.
Wang, Y-K., Jung, T-P., Lin, C-T. (2018). Theta and alpha oscillations in attentional interaction during distracted driving. Frontiers in behavioral neuroscience 12, 3. 09 February 2018. https://doi.org/10.3389/fnbeh.2018.00003.
Wei, C-S., Lin, Y.P., Wang, Y.T., Lin, C-T., Jung, T-P. (2018). A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection. NeuroImage, 174(1): 407-419. July 2018. DOI: https://doi.org/10.1016/j.neuroimage.2018.03.032.
Wei, C-S., Wang, Y.T., Lin, C-T., Jung, T-P. (2018). Toward Drowsiness Detection Using Non-hair-Bearing EEG-Based Brain-Computer Interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(2): 400-406, Feb. 2018. DOI: 10.1109/TNSRE.2018.2790359.
Wen, D., Lan, X., Zhou, Y., Li, G., Hsu, S. H., & Jung, T. P. (2018). The Study of Evaluation and Rehabilitation of Patients With Different Cognitive Impairment Phases Based on Virtual Reality and EEG. Frontiers in aging neuroscience, 10, 88. DOI: https://doi.org/10.3389/fnagi.2018.00088.
Wu, D., King, J.T., Chuang, C-H., Lin, C-T., Jung, T-P. (2018). Spatial Filtering for EEG-Based Regression Problems in Brain–Computer Interface (BCI). IEEE Transactions on Fuzzy Systems, 26(2), April 2018. DOI: 10.1109/TFUZZ.2017.2688423.
Xu, M., Xiao, X.,Wang, Y., Qi, H., Jung, T-P., Ming, D. (2018). A Brain–Computer Interface Based on Miniature-Event-Related Potentials Induced by Very Small Lateral Visual Stimuli. IEEE Transactions on Biomedical Engineering, 65(5), May 2018. DOI: 10.1109/TBME.2018.2799661.
Zao, J.K., Chien, Y.Y., Lin, F.C., Wang, Y.T., Nakanishi, M., Madeiros, F.A., Jung, T-P. (2018). 37‐4: Invited Paper: Intelligent Virtual‐Reality Head‐Mounted Displays with Brain Monitoring and Visual Function Assessment. SID Symposium Digest of Technical Papers 49 (1), 475-478. 30 May 2018. https://doi.org/10.1002/sdtp.12604.

2017

Chien, Y.Y., Lin, F.C., Zao, J.K., Chou, CC, Huang, Y.P., Kuo, H.Y., Wang, Y., Jung, T-P., Shieh, H.P. (2017). Polychromatic SSVEP stimuli with subtle flickering adapted to brain-display interactions. Journal of Neural Engineering, 14(1), January 16, 2017.
Daga, F. B., Nakanishi, M., Wang, Y. T., Jung, T. P., Zao, J., Ogata, N. G., Tavares, I.M., & Medeiros, F. (2017). Comparison between the nGoggle and Optical Coherence Tomography for Detecting Glaucoma. Investigative Ophthalmology & Visual Science, 58(8), 4746-4746.
Fang, W.C., Shih, W.Y., Jui-Chieh, L.I.A.O., Huang, K.J., Chen, C.K., Cauwenberghs, G., and Jung, T-P. "Real-time multi-channel EEG signal processor based on on-line recursive independent component analysis." U.S. Patent 9,724,005, issued August 8, 2017.
Huang, L-Y., She, H-C., and Jung, T-P. (2017). Neural Oscillation Correlates Chemistry Decision-Making. Internal Journal of Neural Systems, 1750031, May 07, 2017. DOI: 10.1142/S0129065717500319.
Hsu, S. H., & Jung, T. P. (2017). Monitoring alert and drowsy states by modeling EEG source nonstationarity. Journal of neural engineering, 14(5), 056012.
Jung, T-P., L. I. N. Yuan-Pin, Wang, Y., and Medeiros, F.A. (2017). "Portable brain activity sensing platform for assessment of visual field deficits." U.S. Patent Application 15/304,803, filed February 9, 2017.
Ko, L.W., Komarov, O., Hairston, W.D., Jung, T-P., and Lin, C-T. (2017). Sustained Attention in Real Classroom Settings: An EEG Study. Frontiers in Human Neuroscience, 31 July 2017 | https://doi.org/10.3389/fnhum.2017.00388.
Lance, B. J., Touryan, J., Wang, Y. K., Lu, S. W., Chuang, C-H., Khooshabeh, P., Sajda, P., Marathe, A., Jung, T-P., Lin, C-T., McDowell, K. (2017). Towards serious games for improved BCI. Handbook of Digital Games and Entertainment Technologies, 197-224.
Lin, Y. P., & Jung, T. P. (2017). Improving EEG-Based Emotion Classification Using Conditional Transfer Learning. Frontiers in human neuroscience, 11, 334. DOI: https://doi.org/10.3389/fnhum.2017.00334.
Liu, Y. H., Jung, T. P., Lin, C. T., & Liao, L. D. (2017). Editorial message: Special issue on fuzzy brain–computer interface systems. International Journal of Fuzzy Systems, 19(2), 528-528. https://doi.org/10.1007/s40815-017-0315-0.
Molina, E., Sanabria, D., Jung, T-P., Correa, A. (2017). Electroencephalographic and peripheral temperature dynamics during a prolonged psychomotor vigilance task. Accident Analysis & Prevention, Available online 20 October 2017. DOI: https://doi.org/10.1016/j.aap.2017.10.014.
Nakanishi, M., Wang, Y-T., Daga, F.B., Jung, T-P., Zao, J., Ogata, N.G., Medeiros, F. (2017). Detecting Preperimetric Glaucoma with the nGoggle, a Portable Brain-Computer Interface for Assessing Neural Damage. Investigative Ophthalmology & Visual Science 58 (8), 4745-4745.
Nakanishi, M., Wang, Y., Hsu, S. H., Wang, Y-T., & Jung, T. P. (2017, July). Independent component analysis-based spatial filtering improves template-based SSVEP detection. In Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE (pp. 3620-3623). IEEE. DOI: 10.1109/EMBC.2017.8037641.
Nakanishi, M., Wang, Y-T., Jung, T-P. (2017). Detecting Glaucoma With a Portable Brain-Computer Interface for Objective Assessment of Visual Function Loss. JAMA Ophthalmol. 2017;135(6):550-557. doi:10.1001/jamaophthalmol.2017.0738.
Nakanishi, M., Wang, Y.T., Jung, T-P., Zao, J.K., Chien, Y.Y., Diniz-Filho, A., Daga, F.B., Pin-Lin, Y., Wang, Y., and Medeiros, F.A. (2017). Detecting Glaucoma with a Portable Brain-Computer Interface for Objective Assessment of Visual Function Loss. JAMA Ophthalmol. 2017 Jun 1; 135(6): 550–557. doi: [10.1001/jamaophthalmol.2017.0738].
Nakanishi, M., Wang, Y., Wang, Y.T., & Jung, T. P. (2017, May). Does frequency resolution affect the classification performance of steady-state visual evoked potentials?. In Neural Engineering (NER), 2017 8th International IEEE/EMBS Conference on (pp. 341-344). IEEE. DOI: 10.1109/NER.2017.8008360.
Rajagopalan, R., Litvan, I., Jung, T-P. (2017). Fall prediction and prevention systems: recent trends, challenges, and future research directions. Sensors 2017, 17(11), 2509; https://doi.org/10.3390/s17112509.
Siddharth, Patel, A., Jung, T-P., & Sejnowski, T. J. (2017, July). An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. In International Conference on Augmented Cognition (pp. 399-409). Springer, Cham.
Susanna, C.N., Daga, F.B., Nakanishi, M., Susanna, B.N., Wang, Y-T., Susanna, R., (2017). Visual Function Measurements from the nGoggle are Associated with Patient-Reported Quality of Life in Glaucoma. Investigative Ophthalmology & Visual Science 58 (8), 3298-3298.
Töllner, T., Wang, Y., Makeig, S., Müller, H., Jung, T.P and Gramann, K. (2017). Two Independent Frontal Midline Theta Oscillations During Conflict Detection and Adaptation in a Simon-type Manual Reaching Task. Journal of Neuroscience, 30 January 2017, 1752-16; DOI: https://doi.org/10.1523/JNEUROSCI.1752-16.2017.
Wang, Y.K., Jung, T. P., & Lin, C. T. (2018). Theta and alpha oscillations in attentional interaction during distracted driving. Frontiers in behavioral neuroscience, 12, 3.
Wang, Y-T., Nakanishi, M., Wang, Y., Wei, C-S., Cheng, C.K., Jung, T-P. (2017). An Online Brain-Computer Interface Based on SSVEPs Measured From Non-Hair-Bearing Areas. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(1): 14-21, Jan. 2017. DOI: 10.1109/TNSRE.2016.2573819.
Wang, Y., Nakanishi, M., Daga, F. B., Ogata, N. G., Zao, J., Jung, T. P., & Medeiros, F. (2017). Objective Assessment of the Contrast Sensitivity Function using the nGoggle. Investigative Ophthalmology & Visual Science, 58(8), 5843-5843. DOI: https://doi.org/10.3389/fnbeh.2018.00003.
Wu, D., Lance, B.J., Lawher, V.J., Gordon, S., Jung, T-P., Lin, C-T. (2017). EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features.
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25(11): 2157-2168, Nov. 2017. DOI: 10.1109/TNSRE.2017.2699784.

2016

Hsu, S-H., Mullen, T., Jung, T-P., Cauwenberghs, G., “Real-time Adaptive EEG Source Separation using Online Recursive Independent Component Analysis,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, in press.
Lin, C-T., Chuang, C-H., Kerick, S., Mullen, T., Jung, T-P., Ko, L-W., Chen, S-A., King, J-T. & McDowell, K. A Mind-Wandering Tends to Occur under Low Perceptual Demands during Driving, Scientific Report, in press.
Hajinoroozi, M., Mao, Z., Jung, T-P., Lin, C-T., Huang, Y. (2016). EEG-based prediction of driver's cognitive performance by deep convolutional neural network.
Signal Processing: Image Communication 47, 549-555. https://doi.org/10.1016/j.image.2016.05.018.
Hsu, S-H., Jung, T-P. (2016). Modeling and tracking brain nonstationarity in a sustained attention task. International Conference on Augmented Cognition, 209-217.
Hsu, S-H., Mullen, T.R., Jung, T-P., Cauwenberghs, G. (2016). Real-time adaptive EEG source separation using online recursive independent component analysis. IEEE transactions on neural systems and rehabilitation engineering 24.
Huang, K. C., Huang, T-Y., Chuang, C-H., King, J-T., Wang, Y-K., Lin, C-T. & Jung, T-P. (2016). An EEG-based Fatigue Prediction and Mitigation System. International Journal of Neural Systems, 2016 Jun;26(4):1650018. doi: 10.1142/S0129065716500180.
Kothe, C.A.E., Jung, T-P. (2016). Artifact removal techniques with signal reconstruction. US Patent App.14/895,440.
Li, J., Wang, Y., Zhang, L., Cichocki, A., Jung, T-P. (2016). Decoding EEG in Cognitive Tasks With Time-Frequency and Connectivity Masks. IEEE Transactions on Cognitive and Developmental Systems, 2016. DOI 10.1109/TCDS.2016.2555952.
Lin, C-T., Chuang, C-H., Kerick, S., Mullen, T., Jung, T-P., Ko, L-W., Chen, S-A., King, J-T., McDowell, K. (2016). Mind-wandering tends to occur under low perceptual demands during driving. Scientific reports 6, 21353.
Madeiros, F.A., Zao, J-K., Wang, Y., Nakanishi, M., Lin, Y-P., Diniz-Filho, A., Jung, T-P. (2016). The nGoggle: a portable brain-based method for assessment of visual function deficits in glaucoma. Investigative Ophthalmology & Visual Science 57 (12), 3940-3940.
Nakanishi, M., Wang, Y., Jung, T-P. (2016). Session-to-session transfer in detecting steady-state visual evoked potentials with individual training data. International Conference on Augmented Cognition, 253-260.
Nakanishi, M., Diniz-Filho, A., Boer, E.R., Elhosseiny, A., Jung, T-P., Medeiros, F.A. (2016). Visual and Auditory Induced Event-Related Brain Dynamics in Glaucoma. Investigative Ophthalmology & Visual Science 57 (12), 3951-3951.
Wang, Y-T, Nakanishi, M., Wang, Y., Wei, C-S., Cheng, C-K., Jung, T-P., An Online Brain-Computer Interface Based on SSVEPs Measured from Non-Hair-Bearing Areas, IEEE Transactions on Neural Systems & Rehabilitation Engineering, in press. DOI: 10.1109/TNSRE.2016.2573819.
Wei, C-S., Lin, Y-P., Wang, Y-T., Lin, C-T., Jung, T-P. (2016). Transfer learning with large-scale data in brain-computer interfaces. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4666-4669. DOI: 10.1109/EMBC.2016.7591768.
Xu, M., Wang, Y., Nakanishi, M., Wang, Y-T., Qi, H., Jung, T-P., Ming, D. (2016). Fast detection of covert visuospatial attention using hybrid N2pc and SSVEP features. Journal of Neural Engineering 13 (6), 066003.
Zao, J.K., Jung, T-P., Chang, H-M., Gan, T-T., Wang, Y-T., Lin, Y-P., Liu, W-H., Zheng, G-Y., Lin, C-K., Lin, C-H., Chien, Y-Y., Lin, F-C., Huang, Y-P., Mendez, S.J.R., Medeiros, F.A. (2016). Augmenting VR/AR Applications with EEG/EOG Monitoring and Oculo-Vestibular Recoupling. In: Schmorrow D., Fidopiastis C. (eds) Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience. AC 2016. Lecture Notes in Computer Science, vol 9743. Springer, Cham. DOI: https://doi.org/10.1007/978-3-319-39955-3_12.
Zao, J.K.K., You, C.K., Mendez, S.J.R., You, C., Chung, C.E., Wang, Y.T., Mullen, T., Kothe, C., Hsiao, C.T., Jung, T-P. (2016). Pervasive Neuroimaging with Fog Computing and Linked Data. 2016 International Computer Symposium (ICS), 719-722. DOI: 10.1109/ICS.2016.0148.

2015

Bowd, C., Yousefi, S., Goldbaum, M.H., Varnousfaderani, E., Belghith, A., Jung, T-P., Medeiros, F.A., Zangwill, L.M., Weinreb, R.N., Liebmann, J.M., Girkin, C.A., “Detecting glaucomatous change in visual fields: Analysis with an optimization framework,” Journal of Biomedical Informatics, Journal of Biomedical Informatics, 2015 Oct 6. pii: S1532-0464(15)00213-0. doi: 10.1016/j.jbi.2015.09.019.
Chen, X., Wang, Y., Gao, S., Jung, T-P., Gao, X. Filter bank canonical correlation analysis for implementing a high-speed SSVEP-based brain-computer interface, Journal of Neural Engineering, 12(4):046008, 2015 doi:10.1088/1741-2560/12/4/046008.
Chen, X., Wang, Y., Nakanishi, M., Gao, X., Jung, T-P., Gao, S., “High-speed spelling with a noninvasive brain-computer interface,” Proceedings of the National Academy of Sciences (PNAS), 2015. Nov 3;112(44):E6058-67. doi: 10.1073/pnas.1508080112.
Chou, W-C., Duann, JR, She, H-C., Huang, L-Y., Jung, T-P., “Explore the functional connectivity between brain regions during a chemistry working memory task,” PLoS One, 2015 Jun 3;10(6):e0129019. doi: 10.1371/journal.pone.0129019.
Lin, F.C., Chien, Y.Y., Zao, J.K., Huang, Y.P., Ko, L.W., Shieh, H.P.D., Wang, Y., Jung, T-P. "High-frequency polychromatic visual stimuli for new interactive display systems", SPIE Newsroom. DOI: 10.1117/ 2.1201504.005851, 2015.
Lin, C-L., Jung, M., Wu., Y.C., She, H-C., Jung, T-P. “Neural Correlates of Mathematical Problem Solving,” International Journal of Neural Systems, 25(2), 2015. DOI: 10.1142/S0129065715500045.
Lin, C-T, Wang, Y-K., Chen, S-A., Jung, T-P., “EEG-Based Attention Tracking during Distracted Driving,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, 23(6):1085-94, 2015. doi: 10.1109/TNSRE.2015.2415520.
Mullen, T., Kothe, C., Chi, Y., Ojeda, A., Kerth, T., Makeig, S., Jung, T-P., Cauwenberghs, G., Real-time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG. IEEE Transactions on Biomedical Engineering, 62(11):2553-67, 2015. doi: 10.1016/j.jbi.2015.09.019.
Nakanishi, M., Wang, Y., Wang, Y-T., Jung, T-P., “A Comparison Study of Canonical Correlation Analysis Based Methods for Detecting Steady-State Visual Evoked Potentials,” PLoS ONE 10(10): e0140703. doi: 10.1371/journal.pone.0140703.
Wang, Y-K., Jung, T-P., Lin, C-T. (2015). EEG-based attention tracking during distracted driving. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(6). https://ieeexplore.ieee.org/abstract/document/7078926
Yousefi, S., Goldbaum, M.H., Varnousfaderani, E.S., Belghith, A., Jung, T-P., Medeiros, F.A., Zangwill, L.M., Weinreb, R.N., Liebmann, J.M., Girkin, C.A., Bowd, C. (2015). Detecting glaucomatous change in visual fields: Analysis with an optimization framework. Journal of biomedical informatics 58, 96-103. https://doi.org/10.1016/j.jbi.2015.09.019.
Zhang X, Wang Y-T, Wang Y, Jung T-P, Huang M, Cheng CK, Mandell AJ. “Ultra-Slow Frequency Bands Reflecting Potential Coherence Between Neocortical Brain Regions,” Neuroscience. 2015 doi:10.1016/j.neuroscience.2014.12.050.

2014

Broccard, F., Mullen, T., Chi, Y. M., Peterson, D., Iversen, J. R., Arnold, M. P., Kreutz-Delgado, K., Jung, T.-P., Makeig, S., Poizner, H., Sejnowski, T. J., Cauwenberghs, G. Closed-loop Brain-Machine-Body Interfaces for Noninvasive Rehabilitation of Movement Disorders, Annals of Biomedical Engineering, 2014. DOI: 10.1007/s10439-014-1032-6.
Chen, S.-C., She, H.-C., Chuang, M.-H., Wu, J.-Y., Tsai, J.-L., Jung, T.-P. Eye movements predict students' computer-based assessment performance of physics concepts in different presentation modalities, Computers & Education, 74: 61–72, 2014. doi:10.1016/j.compedu.2013.12.012.
Chou, W.C., She, H. C., Lai, K., Gramann, K., & Jung, T. P. Temporal Dynamics and Cortical Networks Engaged in Biological Concepts Encoding. Journal of Neuroscience and Neuroengineering, 3(1), 21–35, 2014. doi:10.1166/jnsne.2014.1093.
Chuang CH, Ko LW, Jung TP, Lin CT., Kinesthesia in a sustained-attention driving task, NeuroImage, 2014. doi: 10.1016/j.neuroimage.2014.01.015.
Chuang, C-H., Lin, Y-P., Ko, L-W., Jung, T-P., Lin, C-T. Independent Component Ensemble of EEG for Brain-Computer Interface, IEEE Trans Neural System and Rehabilitation Engineering, 22(2): 230-8, 2014. doi:10.1109/TNSRE.2013.2293139.
Delorme, A., Miyakoshi, M., Jung, T-P, Makeig, S. Grand average ERP-image and statistics: A method for comparing variability in event-related single-trial EEG activities across subjects and conditions, Journal of Neuroscience Methods, 2014. doi:10.1016/j.jneumeth.2014.10.003.
Gramann K, Jung T-P, Ferris DP, Lin CT, Makeig S. Toward a new cognitive neuroscience: modeling natural brain dynamics, Frontiers in Human Neuroscience, 2014 Jun 19;8:444. doi: 10.3389/fnhum.2014.00444.
Huang, X., Huang, L., Jung, T-P., Cheng, C.K., Mandell, A.J. Intrinsic Mode Functions Locate Implicit Turbulent Attractors in Time in Frontal Lobe MEG Recordings, Neuroscience, 267: 91-101, 2014. doi: 10.1016/j.neuroscience.2014.02.038.
Lin, Y-P, Duann, J-R, Feng, W., Chen, J-H, Jung, T-P, Revealing Spatio-spectral Electroencephalographic Dynamics of Musical Mode and Tempo Perception by Independent Component Analysis, Journal of Neural Engineering and Rehabilitation, 11:18, 2014. doi:10.1186/1743-0003-11-18.
Lin, C-T., Huang, K-C., Chuang, Ko, L-W., Jung, T-P., Can Arousing Feedback Rectify Lapses in Driving? : Prediction from EEG Power Spectrum, Journal of Neural Engineering, 10, 2013. doi:10.1088/1741-2560/10/5/056024.
Lin, Y-P, Wang, Y., Jung, T-P, Assessing the Feasibility of Online SSVEP Decoding in Human Walking Using a Consumer EEG Headset, Journal of NeuroEngineering and Rehabilitation, 2014, 11:119 doi:10.1186/1743-0003-11-119.
Lin, Y-P, Wang, Y., Wei, C-S., Jung, T-P, Assessing the Quality of Steady-state Visual-evoked Potentials for Moving Humans Using a Mobile Electroencephalogram Headset, Frontiers in Human Neuroscience, 8: 182, 2014. doi: 10.3389/fnhum.2014.00182.
Lin, Y-P, Yang, Y-H., Jung, T-P., Fusion of Electroencephalogram dynamics and musical contents for estimating emotional responses in music listening, Frontiers in Neuroscience, 8: article 94, 2014. doi: 10.3389/ fnins.2014.00094
Nakanisha, M., Wang, Y., Wang, Y-T., Mitsukura, Y., Jung, T-P., Generating Visual Flickers for Eliciting Robust Steady-State Visual Evoked Potentials at Flexible Frequencies Using Monitor Refresh Rate, PLoS ONE, 2014 Jun 11;9(6):e99235. doi: 10.1371/journal.pone.0099235.
Nakanisha, M., Wang, Y., Wang, Y-T., Mitsukura, Y., Jung, T-P., A High-Speed Brain Speller Using Steady-State Visual Evoked Potentials, International Journal of Neural Systems, 2014. DOI: 10.1142/S0129065714500191.
Tsai, AC, Jung, T-P, Chien, V, Savostyanov, A.N, Makeig, S., Cortical surface alignment in multi-subject spatiotemporal independent EEG source imaging, NeuroImage, 87:297–310, 2014. doi:10.1016/j.neuroimage.2013.09.045.
Wang, Y-T., Huang, K-C., Wei, C-S., Huang, T-Y., Ko, L-W., Lin, C-T., Cheng, CK, Jung, T-P. Developing an EEG based On-line Closed-loop Lapse Detection and Mitigation System, Frontiers in Neuroscience -Neuroprosthetics, 8:321. doi: 10.3389/fnins.2014.00321.
Zao, J.K., Gan,T-T., You, C-K., Rodríguez_Méndez, S.C., Chung, C-E., Wang, Y-T., Mullen, T., Kothe, C., Yu, C., Hsiao, C-T., Chu, S., Shieh, C-K., Jung, T-P., Pervasive Brain Monitoring and Data Sharing based on Multi-tier Distributed Computing and Linked Data Technology, Frontiers in Human Neuroscience, 2014 Jun 3;8:370. doi: 10.3389/fnhum.2014.00370.
Zhang, Z., Jung, T-P., Makeig, S., Rao, B. D., Pi, Z. Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2014. DOI: 10.1109/TNSRE.2014.2319334.

2013 and earlier

Ahalt S, Chen P, Chou C-T, and Jung T-P, ``Implementation of a Vector Quantization Codebook Design Technique Based on a Competitive Learning Artificial Neural Network'', Journal of Supercomputing, 5, 307-30, Kluwer Academic, 1992.
Ahalt S, Jung T-P, and Krishnamurthy A, ``A Comparison of MLP and FSCL-LVQ Neural Networks for Vowel Classification'' In: Neural Networks : Concept, Applications, and Implementations, Vol.III, chap. 6, 124-43, 1991.
Beckman ME, Jung T-P et el., ``Variability in the Production of Quantal Vowels Revisited'', Journal of Acoustical Society of America, 97(1), 471-90, 1995.
Chen Y-C, Duann J-R, Chuang S-W, Lin C-L, Ko, L-W, Jung T-P, Lin, C-T. (2010). Spatial and Temporal EEG Dynamics of Motion-sickness, NeuroImage, 49:2862-70, 2010.
Chi, Y.M. Jung, T-P, Cauwenberghs, G., Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review, IEEE Reviews in Biomedical Engineering, 3:106-119, 2010.
Chi, Y. M., Wang, Y-T, Wang, Y., Jung, T-P, Cauwenberghs, G. (2012). Dry and Non-contact EEG Sensors for Mobile Brain-Computer Interfaces, IEEE Trans Neural System and Rehabilitation Engineering, 20(2): 228-35, 2012.
Chiu, T-C., Gramann, K., Ko, L-W., Duann, J-R., Jung, T-P., Lin, C-T. (2011). Alpha Modulation in Parietal and Retrosplenial Cortex correlates with Navigation Performance, Psychophysiology, 49(1): 43-55, 2011.
Chuang, S-W., Ko, L-W., Lin, Y-P, Huang, R-S., Jung, T-P., Lin, C-T. (2012). Co-modulatory Spectral Changes in Independent Brain Processes Are Correlated with Task Performance, NeuroImage, 62: 1469-77, 2012.
Duann J-R, Jung T-P, Kuo W-J, Yeh T-C, Makeig S, Hsieh J-C and Sejnowski TJ, Single-trial Variability in Event-related BOLD Signals, Neuroimage, 15:823-35, 2002.
Duann, J-R. Jung, T-P and Makeig, S. Repeated decompositions reveal the stability of infomax decomposition of fMRI data , Proc of the 27th Int'l Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai, 2005.
Goldbaum MH, Lee I, Jang G, Balasubramanian M, Sample PA, Weinreb RN, Liebmann JM, Girkin CA, Anderson DR, Zangwill LM, Fredette MJ, Jung TP, Medeiros F, Bowd C. Progression of Patterns (POP): A Machine Classifier Algorithm to Identify Glaucoma Progression in Visual Fields, Investigative Ophthalmology & Visual Science, doi:10.1167/iovs.11-8363.
Gramann, K., Gwin, J. T., Ferris, D. P., Oie, K., Jung, T-P., Lin, C-T., Liao, L-D, Makeig, S. Cognition in Action: Imaging Brain/Body Dynamics in Mobile Humans, Reviews in the Neurosciences 22(6), 593-608, 2011.
Gramann, K., Shang, W., Jung, T-P., Viirre, E., Riecke, B.E. (2012). Switching Spatial Reference Frames for Yaw and Pitch Navigation. Spatial Cognition and Computation: An Interdisciplinary Journal, 12: 149-94, 2012.
Hsu, J-L., Jung, T-P., Hsu, C-Y., Hsu, W-C, Chen, Y-K., Duann, J-R., Wnag, H-C, Makeig, S. Regional CBF Changes in Parkinson's Disease: A Correlation with Motor Dysfunction, European Journal of Nuclear Medicine and Molecular Imaging, 34(9):1458-66, 2007.
Huang, R-S., Jung, T-P., Makeig, S. (2009). "Tonic Changes in EEG Power Spectra during Simulated Driving," Lecture Notes in Computer Science, Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 394-403, 2009.
Huang, R-S. Jung, T-P and Makeig, S. Analyzing Event-Related Brain Dynamics in Continuous Compensatory Tracking Tasks , Proc of the 27th Int'l Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai, 2005.
Huang, L-Y., She, H-C., Chou, W-C., Chuang. M-H., Duann, J-R., Jung, T-P. Brain Oscillation and Connectivity during a Chemistry Visual Working Memory Task, International Journal of Psychophysiology, 90(2):172-9, 2013 doi: 10.1016/j.ijpsycho.2013.07.001.
Jung T-P, Humphries C , Lee TW, McKeown MJ, Iragui V, Makeig S, and Sejnowski TJ, "Removing Electroencephalographic Artifacts from by Blind Source Separation," Psychophysiology, 37:163-78, 2000.
Jung T-P, Humphries C, Lee TW, Makeig S, McKeown MJ, Iragui V, and Sejnowski TJ, "Removing Electroencephalographic Artifacts : Comparison between ICA and PCA", In: Neural Networks for Signal Processing VIII, 63-72, 1998.
Jung T-P, Humphries C, Lee TW, Makeig S, McKeown MJ, Iragui V, and Sejnowski TJ, "Extended ICA Removes Artifacts from Electroencephalographic Recordings", Advances in Neural Information Processing Systems 10:894-900, 1998.
Jung T-P, Krishnamurthy A et el.``Deriving Gestural Scores from Articulator-Movement Records using Weighted Temporal Decomposition'', IEEE Transaction on Speech, Audio Processing 4(1), 2-18, 1996.
Jung, T-P. and Makeig, S. (2009). "Techniques of EEG Recording and Preprocessing: Independent Component Analysis of Electroencephalographic Data," In: Quantitative EEG Analysis Methods and the Applications (S. Tong & N. Thakor ed.), 39-49, 2009.
Jung T-P, Makeig S, Bell AJ, and Sejnowski TJ, "Independent Component Analysis of Electroencephalographic and Event-related Potential Data," In: Central Auditory Processing and Neural Modeling (Poon P & Brugge J ed), Plenum Press, NY, 189-197, 1998.
Jung, T-P., Makeig, S., Humphries, C., Lee, T-W., et.al., “Removing Electroencephalographic Artifacts by Blind Source Separation,” Psychophysiology, 37, 2000. (pp. 163-78)
Jung T-P, Makeig S, Lee T-W, McKeown M.J., Brown G., Bell, A.J. and Sejnowski TJ, "Independent Component Analysis of Biomedical Signals," The 2nd Int'l Workshop on Indeppendent Component Analysis and Signal Separation, 633-44, 2000.
Jung T-P, Makeig S, McKeown M.J., Bell, A.J. , Lee T-W, and Sejnowski TJ, Imaging Brain Dynamics Using Independent Component Analysis, Proceedings of the IEEE, 89(7):1107-22. 2001.
Jung, T-P, Makeig, S, Stensmo, M, and Sejnowski, TJ, "Estimating alertness from the EEG power spectrum," IEEE Trans Biomed Eng, 44(1), 60-69, 1997.
Jung T-P, Makeig S, Westerfield W, Townsend J, Courchesne E, and Sejnowski TJ, Analysis and visulization of single-trial event-related potentials, Human Brain Mapping, 14(3):166-85, 2001.
Jung T-P, Makeig S, Westerfield M, Townsend J, Courchesne E, and Sejnowski TJ, "Analyzing and Visualizing Single-trial Event-related Potentials," In: Advances in Neural Information Processing Systems 11:118-24, 1999.
Jung T-P, Makeig S, Westerfield M, Townsend J, Courchesne E, and Sejnowski TJ, "Independent Component Analysis of Single-trial Evenet-related Potentials," Int'l Workshop on Indeppendent Component Analysis and Signal Separation, 173-78, 1999.
Jung T-P, Makeig S, Westerfield W, Townsend J, Courchesne E, and Sejnowski TJ, "Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects", Clinical Neurophysiology, 111(10):1745-58, 2000.
Ko, L-W., Tsai, I-L., Yang, F-S., Chung, J-F., Lu, S-W., Jung, T-P., and Lin, C-T. (2009). "Real-Time Embedded EEG-Based Brain-Computer Interface," Lecture Notes in Computer Science, Advances in Neuro-Information Processing, 1038-45, 2009.
Lai, K., She, H-C., Chen, S-C., Chou, W-C., Huang, L-Y., Jung, T-P., Gramann, K. Encoding of physics concepts: Concreteness and presentation modality reflected by human brain dynamics, PLoS ONE 7(7): e41784. doi:10.1371/journal.pone.0041784.
Liang, S.F., Lin, C-T, Wu, R.C, Chen, Y-C, Huang, T.Y. and Jung, T-P, Monitoring Driver's Alertness based on the Driving Performance Estimation and the EEG Power Spectrum , Proc of the 27th Int'l Conference of the IEEE Engineering in Medicine and Biology Society, Shanghai, 2005.
Liao, L-D., Lin, C-T., McDowell, K., Wickenden, A. E., Gramann, K., Jung, T-P. Ko, L-W., Chang, J-Y. (2012). Biosensor Technologies for Augmented Brain-Computer Interfaces in the Next Decades, Proceedings of the IEEE, 100:1553-66, 2012.
Lin, Y-P, Duann, J-R, Chen, J-H, Jung, T-P. (2010). Electroencephalographic Dynamics of Musical Emotion Perception Revealed by Independent Spectral Components,NeuroReport, 21(6):410-415, 2010.
Lin, C-T, Huang, K-C, Chao, C-F, Chen, J-A, Chiu, T-W, Ko, L-W, Jung, T-P. (2010). Tonic and phasic EEG and behavioral changes induced by arousing feedback,NeuroImage, 52: 633–42, 2010.
Lin, C-L., Jung, T-P., Chuang, S-W., Duann, J-R., Lin, C-T., Chiu, T-W., Self-adjustments may account for the contradictory correlations between HRV and Motion-Sickness Severity, International Journal of Psychophysiology, 87(1): 70–80, 2013.
Lin C-T, Ko L-W, Chang M-H, Duann J-R, Chen J-Y, Su T-P, Jung T-P. Review of Wireless and Wearable Electroencephalogram Systems and Brain-Computer Interfaces - A Mini-Review, Gerontology, 56:112-9, 2010.
Lin, C-T., Ko, L-W., Chung, I-F., Huang, T-Y., Chen, Y-C., Jung, T-P., and Liang, S-F, Adaptive EEG-based Alertness Estimation System by Using ICA-based Fuzzy Neural Networks,, IEEE Transactions on Circuits and Systems I, 53(11): 2469-76, 2006.
Lin, C-T., Ko, L-W, Chiou, J-C, Duann, J-R., Chiu, T-W., Huang, R-S., Liang, S-F, Jung, T-P. (2008). A noninvasive prosthetic platform using mobile & wireless EEG,Proceedings of the IEEE, 96(7):1167-83, 200
Lin, C-L., Shaw, Z-Z., Young, K-Y., Lin. C-T., Jung, T-P., EEG Correlates of Haptic Feedback in a Visuomotor Tracking Task, NeuroImage, 60(4): 2258-73, 2012.
Lin, Y-P, Wang, C-H, Jung, T-P, Wu, T-L, Jeng, S-K, Duann, J-R, and Chen, J-H. EEG-based Emotion Recognition in Music Listening, IEEE Transactions on Biomedical Engineering, 57(7), 1798–1806, 2010.
Lin, C-T., Wu, R-C, Jung, T-P., Liang, S-F, and Huang, T-Y. Estimating Driving Performance Based on EEG Spectrum Analysis , EURASIP Journal on Applied Signal Processing 19: 3165-74, 2005.
Lin, C-T., Wu, R-C, Liang, S-F, and Huang, T-Y. Chao, W-H. Chen, Y-J., Jung, T-P., EEG-based Drowsiness Estimation for Safety Driving Using Independent Component Analysis,, IEEE Transactions on Circuit and System, 52(12):2726-38, 2005
McDowell K, Lin C-T., Oie K.S., Jung T-P., Gordon S., Whitaker K.W., Li S-Y., Lu S-W., Hairston W-D., Real-World Neuroimaging Technologies,” IEEE Access, 1:131-49, 2013.
McKeown MJ, Jung T-P, Makeig S, Brown GG, Kindermann G, Lee T-W, and Sejnowski TJ, "Spatially Independent Activity Patterns in Functional Magnetic Resonance Imaging Data During the Stroop Color-naming Task", Proc. of National Academy of Sciences, 95:803-10, 1998.
McKeown MJ, Makeig S, Brown GG, Jung T-P, Kindermann SS, and Sejnowski TJ, "Analysis of fMRI by Blind Separation into Independent Spatial Components", Human Brain Mapping 6(3):160-88, 1998.
Makeig, S, Bell, AJ, Jung, T-P, and Sejnowski, TJ, "Independent component analysis of Electroencephalographic data." Advances in Neural Information Processing Systems 8, 145-151,1996.
Makeig S, Delorme A, Westerfield M, Townsend J, Courchense E, Sejnowski T, Electroencephalographic brain dynamics following visual targets requiring manual responses. PLOS Biology 2(6):747-62, 2004.
Makeig, S., Enghoff, S., Jung, T-P., and Sejnowski, T.J. (2000). A Natural Basis for Efficient Brain-Actuated Control. IEEE Trans on Rehab Eng, 8, pp. 208-11, 2000. DOI: 10.1109/86.847818.
Makeig S, Enghoff S, Jung T-P, and Sejnowski T.J. (2000). "Moving-window ICA Decomposition of EEG Data Reveals Event-related Changes in Oscillatory Brain Activity," The 2nd Int'l Workshop on Indeppendent Component Analysis and Signal Separation, 627-32, 2000.
Makeig S, Enghoff S, Jung T-P, and Sejnowski TJ, "A Natural Basis for Efficient Brain-Actuated Control", IEEE Trans Rehab Eng, 8:208-11. 2000.
Makeig, S., Gramann, K., Jung, T-P., Sejnowski, T.J., Poizner, H. (2009). Linking Brain, Mind and Behavior, International Journal of Psychophysiology, 73: 95-100, 2009.
Makeig, S and Jung, T-P, "Tonic, phasic and transient EEG correlates of auditory awareness in drowsiness," Cogn Brain Res 4, 15-25, 1996.
Makeig, S and Jung, T-P, "Changes in Alertness Are a Principal Component of Variance in the EEG Spectrum", NeuroReport, 7(1), 213-216, 1995.
Makeig, S., Jung, T-P., Bell, A.J., Ghahremani, D., Sejnowski, T.J., “Blind Separation of Auditory Event-Related Brain Responses into Independent Components,” Proceedings of the National Academy of Sciences, 94:10979-84, 1997.
Makeig S, Jung T-P, Ghahremani D and Sejnowski TJ, "Independent component analysis of simulated ERP data", In: Human Higher Function I: Advanced Methodologies," Ed. T. Nakada, 2001.
Makeig S, Jung T-P and Sejnowski TJ, Having Your Voxel and Timing Them Too? In: Exploratory Analysis and Data Modeling in Functional Neuroimaging, Ed. F. Sommer & A. Wichert, 195-207, 2003.
Makeig S, Jung T-P, and Sejnowski TJ, " Awareness during drowsiness: Dynamics and electrophysiological correlates", Can J Exp Psychol., 54(4): 266-73, 2000.
Makeig, S, Jung, T-P, and Sejnowski, TJ, "Using feedforward neural network to monitor alertness from changes in EEG correlation and coherence," Advances in Neural Information Processing Systems 8, 931-937, 1996.
Makeig, S., Westerfield, M., Jung, T-P., Enghoff, S., Townsend, J.,Courchesne, E., and Sejnowski, T.J., “Electroencephalographic Sources of Visual Evoked Responses,” Science, 295, Jan. 25, 2002 (pp. 690-94) .
Makeig S, Westerfield M, Jung T-P, Covington J, Townsend J, Sejnowski TJ, and Courchesne E, "Independent Components of the Late Positive Response Complex in a Visual Spatial Attention Task," J. Neuroscience, 19:2665-80, 1999.
Makeig S, Westerfield M, Jung T-P, Enghoff S, Townsend J, Courchesne E, Sejnowski TJ. Dynamic brain sources of visual evoked responses. Science, 295:690-4, Jan. 25, 2002.
Makeig S, Westerfield M, Townsend J, Jung T-P, Courchesne E and Sejnowski TJ, "Functionally Independent Components of Early Event-Related Potentials in a Visual Spatial Attention Task," Philosophical Transactions: Biological Sciences, 354:1135-44, 1999.
Orden K, Jung T-P, and Makeig S, "Combined eye activity measures accurately estimate changes in sustained visual task performance," Biological Psychology, 52(3):221-40, 2000.
Pal, N.R., Chuang, C-Y., Ko, L-W, Chao, C-F., Jung, T-P., Liang, S-F., Lin, C-T. (2008). EEG-based Subject- and Session-independent Drowsiness Detection: An Unsupervised Approach. EURASIP Journal on Applied Signal Processing, 2008.
She, H-C., Jung, T-P., Chou, W-C., Huang, L-Y., Wang, C-Y., Lin, G-Y. EEG dynamics reflect the distinct cognitive process of optic problem solving, PLoS One, 7(7): e40731. doi:10.1371/journal.pone.0040731.
Siegel R.M., Duann, J-R., Jung, T-P., and Sejnowski, T.J. Spatio-temporal properties of the functional architecture for gain fields in behaving monkey inferior parietal lobule , Cerebral Cortex , 2006.
Szu, H., Hsu, C., Moon, G., Yamakawa, T., Tran, B.Q., Jung, T-P., Landa, J. (2013). Smartphone Household Wireless Electroencephalogram Hat, Applied Computational Intelligence and Soft Computing, vol. 2013, Article ID 241489, 8 pages, 2013. doi:10.1155/2013/241489.
Tasi, Y.F., Viirre, E., Strychacz, C., Chase, B, and Jung, T-P. (2007). Task Performance and Eye Activity Relating to Cognitive Workload, Aviation, Space, and Environmental Medicine, 78(5):B176-85, 2007.
Townsend, J., Westerfield, M., Leaver, E., Makeig, S., Jung, T-P., Pierce, K.,Courchesne, E., “Event-Related Brain Response Abnormalities in Autism: Evidence for Impaired Cerebello-Frontal Spatial Attention Networks,” Cognitive Brain Research, 11(1), 2001 (pp. 127-45). https://doi.org/10.1016/S0926-6410(00)00072-0
Tsai, A.C., Liou, M., Jung, T-P., Onton, J., Cheng, P., Wang, H-C., Duann, J.R., Makeig, S. Mapping ERPs on the Cortical Surface through a Spatiotemporal Modality, Neuroimage, 23(1): 195-207, 2006.
Van Orden K., Limbert W., Makeig S., and Jung T-P, Eye Activity Correlates of Workload during a Visualspatial Memory Task, Human Factors, 43(1):111-21, 2001.
Van Orden, K., Jung, T-P., and Makeig, S., “Eye Activity Correlates of Fatigue,” Biological Psychology, 52(3), 2000. (pp. 221-40).
Wang, Y., Jung, T-P. (2011). A Collaborative Brain-Computer Interface for Improving Human Performance., PLoS ONE, 6(5): e20422. doi:10.1371/ journal.pone.0020422, 2011.
Wang, Y-T., Wang, Y., Jung, T-P. (2011). A Cell-Phone Based Brain-Computer Interface for Communication in Daily Life, Journal of Neural Engineering, 8(2), 2011. [This article was selected as the journal’s Highlights collection for 2011].
Wang, Y., Wang, Y-T., Jung, T-P. Translation of EEG Spatial Filters from Resting to Motor Imagery Using Independent Component Analysis, PLoS ONE, 7(5): e37665. doi:10.1371/journal.pone.0037665.
Wang, Y., Wang, Y-T., Jung, T-P. (2010). Visual stimulus design for a high-rate SSVEP BCI, IET Electronics Letters, 46(15): 1057–8, 2010.
Zhang, Z., Jung, T-P., Makeig, S., Rao, B. D. (2013). Compressed Sensing for Engery-Efficient Wireless Telemonitoring of Noinvasive Fetal ECG Via Blocked Spare Baysian Learning, IEEE Transactions on Biomedical Engineering, 60(2): 300-9, 2013.
Zhang, Z., Jung, T-P., Makeig, S., Rao, B. D. (2013). Compressed Sensing of EEG for Wireless Telemonitoring with Low Energy Consumption and Inexpensive Hardware, IEEE Transactions on Biomedical Engineering, 60(1):221-4, 2013.