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Feb. 21, 2022 (UTC/GMT +09:00) Asia/Seoul)
Day 1
13:05~13:10 Opening Remark
Session 1 (Clinical BCI Applications)
(Co-Chairs: Profs. C. Guan & J. S. Kim)
C. Guan
Nanyang University of Technology
Towards a Holistic Rehabilitation System based on Brain-Computer Interfaces
Y.-S. Kweon, G.-H. Shin
Korea University
Possibility of Sleep Induction using Auditory Stimulation based on Mental States
K. Meng, E. Kim, S. Vogrin, M. J. Cook, F. Goodarzy, D. B. Grayden, C. K. Chung
The University of Melbourne
Implementation of a closed-loop BCI system for real-time speech synthesis under clinical constraints
14:15~14:35 (20')
C. Piozin, B. Lavrard, C. Simon, J.-Y. Audran, F. Waszak, S. Eskiizmirliler
Université de Paris
Motion prediction for the sensorimotor control of hand prostheses with a brain-machine interface using EEG
14:35~14:55 (20')
N. B Maimon, L. Molcho, E. Jaul, N. Intrator, J. Barron, O. Meiron
Tel Aviv University
EEG reactivity changes captured via mobile BCI device following tDCS intervention - a pilot in disorders of consciousness (DOC) patients
Break (25')
Session 2 (Visual Imagery BCI)
(Co-Chairs: Profs. K.-R. Müller & T.-E. Kam)
15:20~15:45 (25')
K.-R. Müller Technical University of Berlin Deep Learning for Whole Brain Cognitive Decoding
15:45~16:05 (20')
J. Kilmarx, H. Gamper, D. Emmanouilidou, D. Johnston, E. Cutrell, A. Wilson, I. Tashev The University of Texas at Austin Investigating Visual Imagery as a BCI Control Strategy: A Pilot Study
16:05~16:25 (20')
B.-H. Kwon, J.-H. Cho, B.-H. Lee, J.-H. Jeong Korea University Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method
16:25~16:45 (20')
H. Ahn, D. Lee Korea University Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network
Break (20')
Spotlight 1
(Chair: Prof. T.-E. Kam)
17:05~17:55 (50') 4' * 10 papers
(Paper no. 1~10)
Feb. 22, 2022 (UTC/GMT +09:00) Asia/Seoul)
Day 2
Session 3 (Efficient BCI)
(Chair: Dr. H. Kim)
S. Becker
McMaster University
BCI Illiteracy: It's us, not them. Optimizing BCIs for individual brains
09:25~09:45 (20') Z. Chen, M. Mousavi, V. de Sa University of California San Diego Multi-subject unsupervised transfer with weighted subspace alignment for common spatial patterns
09:45~10:05 (20') D.-K. Han, S. Musellim, D.-Y. Kim, J.-H. Jeong Korea University Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface
10:05~10:25 (20') J.-H. Jeong, K.-T. Kim, S. J. Lee, D.-J. Kim, H. Kim KIST CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs
10:25~10:45 (20') I. Dolzhikova, B. Abibullaev, A. Zollanvari Nazarbayev University An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIs
Break (25')
Session 4 (Innovative BCI Applications)
(Chair: Prof. S. W. Lee)
11:10~11:35 (25') K. V. Shenoy Stanford University Next-generation BCIs: Brain-to-text Communication via Attempted Handwriting
11:35~11:55 (20') S. Park, M.-S. Kim, H. Nam, C. -H. Im Hanyang University Development of an In-Car Environment Control System Using an SSVEP-based BCI with Visual Stimuli Presented on a Head-Up Display
11:55~12:15 (20') G.-H. Shin, Y.-S. Kweon Korea University Differential EEG Characteristics during Working Memory Encoding and Re-encoding
12:15~12:35 (20') Y. Shin, J. Kwon, J. S. Kim, C. K. Chung Seoul National University Hotspital Introduction of Beat Oscillation to Improve the Performance of Music BCI Decoder
Lunch (85')
Session 5 (Advanced Methodolgies for BCI)
(Chair: Prof. D.-J. Kim)
14:00~14:20 (20') T. Fang, W. Mu, Z. Song, S. Le, Y. Zhang, X. Zhang, G. Zhan, J. Wang, L. Zhang, J. Bin, L.g Liu, P. Wang, X. Kang Fudan University Denoising of EEG Signal Using Permutation Entropy and Source Imaging
14:20~14:40 (20') Y. H. Kang, D. Kim, S. W. Lee KAIST Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface
14:40~15:00 (20') D. -H. Shin, D. -H. Ko, J. -W. Han, T. -E. Kam Korea University Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification
15:00~15:25 (25') V. Nikulin Max Planck Institute Predicting task performance and brain responses with ongoing neural activity
Break (25')
Session 6 (Deep Learing for BCI)
(Chair: Prof. H. J. Hwang)
15:50~16:15 (25') R. Goebel Maastricht University Reading Imagined Letter Shapes from the Mind’s Eye using Real-time 7 Tesla fMRI
16:15~16:35 (20') J.-S. Bang, S.-W. Lee Korea University Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification
16:35~16:55 (20') M. Mametkulov, A. Artykbayev, D. Koishigarina, A. Kenessova, K. Razikhova, T. Kang, C. Wallraven, S. Fazli Nazarbayev University Explainable machine learning for memory-related decoding via TabNet and non-linear features
16:55~17:15 (20') J. Shin, W. Chung Korea University Motor Imagery Classification based on Multi-Kernel CNN with the amalgamated Cross Entropy Loss
Spotlight 2
(Chair: Prof. D.-O. Won)
17:15~18:05 (50') 4' * 10 papers
(Paper no. 11~20)
Feb. 23, 2022 (UTC/GMT +09:00) Asia/Seoul)
Day 3
Session 7 (Silent BCI)
(Chair: Dr. J.-H. Jeong)
09:00~09:20 (20') S.-H. Lee, Y.-E. Lee, S.-W. Lee Korea University Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions
09:20~9:40 (20') J. Choi, N. Kaongoen, S. Jo KAIST Investigation on Effect of Speech Imagery EEG Data Augmentation with Actual Speech
9:40~10:00 (20') D.-H. Lee, S.-J. Kim, K.-W. Lee Korea University Decoding High-level Imagined Speech using Attention-based Deep Neural Networks
10:00~10:05 (05') Closing Remarks

Spotlight List
# Authors Title
Spotlight 1
1 M. H. Kim, D. Kim, E. Jo, S.-W. Lee Goal-Driven Atari Environment
2 N. Kaongoen, J. Jeon, S. Jo Enhancing the Performance of P300-based BCIs by tDCS of the Left VL-PFC
3 B.-H. Lee, B.-H. Kwon, J.-H. Cho A Factorization Approach for Motor Imagery Classification
4 S. Jeong, W. Ko, A. W. Mulyadi, H.-I. Suk Continuous Riemannian Geometric Learning for Sleep Staging Classification
5 M.-K. Kim, J.-H. Cho, H.-B. Shin Recognition of Tactile-related EEG Signals Generated by Self-touch
6 Y. Pyo, S. Nahm, J.-C. Jeong Classification Performances due to Asymmetric Nonlinear Weight Updates in Analog Artificial Synapse-Based Hardware Neural Networks
7 W. Mu, J. Wang, T. Fang, P. Wang, L. Liu, A. Wang, L. Niu, J. Bin, J. Zhang, J. Jia, L. Zhang, X. Kang EEG Channel Selection Methods for Motor Imagery in Brain Computer Interface
8 A. Wang, J. Wang, L. Liu, W. Mu, P. Wang, J. Zhang, Z. Song, Y. Zhang, G. Zhan, X. Zhang, L. Zhang, X. Kang SEEG signal processing methods in the application of epilepsy recognition
9 C. Simon, K. Ruddy A wireless, wearable Brain-Computer Interface for neurorehabilitation at home; A feasibility study
10 A. E. Voinas, R. Das, M. A. Khan, I. Brunner, S. Puthusserypady Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation
Spotlight 2
11 J.-H. Cho, B.-H. Kwon, B.-H. Lee, S.-W. Lee Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals
12 H.-T. Lee, S. Jun, J. S. Kim, C. K.e Chung, H.-J. Hwang Decoding the Performance of a Memory Task Using Single-trial Intracranial EEG
13 M. Shim, S.-H. Lee, H.-J. Hwang A novel neurophysiological feature based on quantifying EEG data for seperating patients in psychiatric disorders with comorbidities
14 M. Alimardani, D.-E. Gherman Individual Differences in Motor Imagery BCIs: a Study of Gender, Mental States and Mu Suppression
15 J.-W. Hyung, S. Lee, H. Kim, D.-J. Kim Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification
16 H. Kwon, C. E. Hwang, S. Jo Vision Combined with MI-Based BCI in Soft Robotic Glove Control
17 Y.-E. Lee, S.-H. Lee EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech
18 D. Heo, M. Kim, J. Kim, Y. J. Choi, S.-P. Kim Use of Brain-Computer Interfaces in Different Postures for Daily Living Applications
19 G. Zoumpourlis, I. Patras CovMix: Covariance Mixing Regularization for Motor Imagery Decoding
20 P. Lee, S. Hwang, J. Lee, M. Shin, S. Jeon, H. Byun Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition
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Last update: 10, Oct. 2022