|
|
|
|
|
|
AUTHOR |
AFFILIATION |
TITLE |
| Feb. 20, 2023 (UTC/GMT +09:00) Asia/Seoul) |
Day 1 |
|
13:00~13:10 |
Opening Remark |
Session 1 (Interpretable BCI)
(Chair:Prof. K.-R. Muller) |
13:10~13:40
(30') |
K.-R. Müller |
Technical University of Berlin |
Interpreting Deep Learning Models for Multi-modal Neuroimaging |
13:40~13:55
(15') |
H. Nam, J.-M. Kim, T.-E. Kam |
Korea University |
Feature Selection Based on Layer-Wise Relevance Propagation for EEG-based MI classification |
13:55~14:10
(15') |
M.-K. Jung, H. Kim, S. Lee, J.-B. Kim, D.-J. Kim |
Korea University |
Interpretability of Hybrid Feature Using Graph Neural Networks from Mental Arithmetic Based EEG |
14:10~14:25 (15') |
V. Mun, B. Abibullaev |
Nazarbayev University |
Explainable Deep Learning for Brain-Computer Interfaces through Layerwise Relevance Propagation |
Break (35') |
Session 2 (Clinical BCI Applications)
(Chair:Prof. H.-J. Hwang) |
15:00~15:30 (30') |
A. Kübler |
University of Würzburg |
Correlation between neurophysiological measures of consciousness and BCI performance in a locked-in patient |
15:30~15:45 (15') |
G. Zhan, H. Su, P. Wang, L. Niu, J. Bin, W. Mu, X. Zhang, H. Jiang, L. Zhang, X. Kang |
Fudan University |
Effects of Input Neuron Mapping Coordinates in Spiking Neural Network on the Motor Imagery EEG Signals Classification |
15:45~16:00 (15') |
H. Kim, K. Won, M. Ahn, S.-C. Jun |
GIST |
Cognitive-switch detection for un-cued SSVEP BCI speller |
16:00~16:15 (15') |
H. Kim, M. Kim, W. Chung |
Korea University |
Sleep-CMKD: Self-Attention CNN/Transformer Cross-Model Knowledge Distillation for Automatic Sleep Staging |
16:15~16:30 (15') |
Y.-S. Kweon, G.-H. Shin, H.-G. Kwak, S.-W. Lee |
Korea University |
Development of Personalized Sleep Induction System based on Mental States |
Break (30') |
Spotlight 1
(Chair: Prof. H.-C. Kim) |
17:00~17:42 (42') |
3' * 14 papers
(Paper no. 1~14) |
| Feb. 21, 2023 (UTC/GMT +09:00) Asia/Seoul) |
Day 2 |
Session 3 (Deep Learing for BCI)
(Chair: Prof. J.-H. Jeong) |
09:00~09:30
(30') |
C. Guan |
Nanyang University of Technology |
Brain-Computer Interface-based Gait Prediction for Lower-Limb Stroke Rehabilitation |
| 09:30~09:45 (15') |
L. Wang, J. Wang, W. Mu, L. Liu, J. Han, H. Su |
Fudan University |
Enhancing Motor Imagery EEG Signal Classification with Simplified GoogLeNet |
| 09:45~10:00 (15') |
D. Permana, C.-K. Won |
Sungkyunkwan University |
Hierarchical Transformer for Brain Computer Interface |
| 10:00~10:30 (30') |
P. Douglas |
UCLA |
Towards a White Matter Ephaptic Coupling Model for EEG/MEG Spectral Densities |
| Break (30') |
Session 4 (Innovative BCI Applications)
(Chair: Prof. S. Nagarajan) |
11:00~11:30 (30') |
S. Nagarajan |
University of California, San Francisco |
Advances in Imaging of Neural Oscillations |
| 11:30~11:45 (15') |
L. Liu, B. Wen, M. Wang, A. Wang, J. Zhang, Y. Zhang, S. Le, L. Zhang, X. Kang |
Fudan University |
Implantable brain-computer interface based on printing technology |
| 11:45~12:00 (15') |
L. Liu, W. Zhang, B. Wen, M. Wang, A. Wang, J. Zhang, Y. Zhang, S. Le, H. Jiang, R. Zhai, L. Zhang, X. Kang |
Fudan University |
Light Radiation Simulation of Micro-LED Array for the Optical Neural Interface Targeted Cerebral Cortex in Rhesus Monkey |
| 12:00~12:15 (15') |
H. Jang, S. Park, J. Woo, J. Ha, L. Kim |
KIST |
Authentication System Based on Event-related Potentials Using AR Glasses potentials-based authentication system by using AR glasses |
| Lunch (105') |
Session 5 (Advanced Methodolgies for BCI)
(Chair: Prof. T.-E. Kam) |
14:00~14:15 (15') |
J. Kwon, J. Hwang, C.-H. Im |
Hanyang University |
S2S-StarGAN: Signal-to-Signal Translation Method based on StarGAN to Generate Artificial EEG for SSVEP-based Brain-Computer Interfaces |
| 14:15~14:30 (15') |
J.-W. Choi, J. Choi, S. Jo |
KAIST |
Reference Bank Multi-feature Extraction for EEG-based Concentration Discrimination |
| 14:30~14:45 (15') |
Anubhav, K. Fujiwara |
The University of Tokyo |
Reservoir Splitting method for EEG-based Emotion Recognition |
| 14:45~15:00 (15') |
M.-K. Kim, J.-H. Cho, H.-B. Shin, S.-W. Lee |
Korea University |
Towards Brain-based Interface for Communication and Control by Skin Touch Interface for Communication and Control by Skin Touch |
| 15:00~15:15 (15') |
D.-U. Kim, J. Lee, M. Kim, J. Kim, J. Lee, D. Heo, S.-P. Kim |
UNIST |
The Effect of Wireless Communication Interference on Wireless BCI |
| Break (35') |
Session 6 (Efficient BCI)
(Chair: Dr. K.-T. Kim ) |
15:50~16:20 (30') |
B. Blankertz |
TU Berlin |
The virtue of combining a model-based and a data-driven approach for Brain-Computer Interfacing. |
| 16:20~16:50 (30') |
M. Hebart |
Max Planck Institute for Human Cognitive and Brain Sciences |
Revealing interpretable object representations from human visual cortex and artificial neural networks |
| 16:50~17:05 (15') |
H. Si-Mohammed, C. Holz, A. Wilson, H. Gamper, A. K. Lee, D. Emmanouilidou , E. Cutrell, I. Tashev |
University of Lille |
On the Effect of Size and Contrast of the SSVEP Visual Stimuations on Classification Accuracy and User-Friendliness in Virtual Reality |
| 17:05~17:20 (15') |
P. Lee, S. Jeon, S. Hwang, M. Shin, H. Byun |
Yonsei University |
Source-free Subject Adaptation for EEG-based Visual Recognition |
| Break (5') |
Spotlight 2
(Chair: Prof. D.-O. Won) |
17:25~18:07 (42') |
3' * 14 papers
(Paper no. 15~28) |
| Feb. 22, 2023 (UTC/GMT +09:00) Asia/Seoul) |
Day 3 |
Session 7 (Speech BCI)
(Chair: Prof. S. Ahn) |
| 09:00~09:30 (30') |
M. Mur |
Western University |
Visual representation learning in humans and deep neural networks |
| 09:30~9:45 (15') |
N. Kobayashi, T. Nemoto, T. Morooka |
Nihon University |
High Accuracy Silent Speech BCI Using Compact Deep Learning Model for Edge Computing |
| 9:45~10:00 (15') |
Y. Hong, J.-S. Kim, C.-K. Chung |
Seoul National University |
Direct cortical stimulation for inducing Artificial Speech Perception: A Preliminary Study |
| 10:00~10:15 (15') |
Y.-E. Lee, S.-H. Lee, S. Kim, S.-H. Kim, J.-S. Lee, S.-W. Lee |
Korea University |
Speech Synthesis from Brain Signals Based on Generative Model |
| Break (35') |
Session 8 (Practical BCI)
(Chair: Prof. D. B. Rubin) |
10:50~11:20 (30') |
D. B. Rubin |
Harvard Medical School |
BrainGate: An Intracortical Brain-Computer Interface for the Restoration of Communication and Functional Independence for People with Paralysis |
| 11:20~11:35 (15') |
W. Mu, J. Wang, L. Wang, P. Wang, J. Han, L. Niu, J. Bin, L. Liu, J. Zhang, L. Zhang, X. Kang |
Fudan University |
A Channel Selection Method for Motor Imagery EEG Based on Fisher Score of OVR-CSP |
| 11:35~11:50 (15') |
B. Wen, J. Zhang, M. Wang, L. Liu, Y. Zhang, A. Wang, L. Zhang, X. Kang |
Fudan University |
Distribution of electrical stimulation current of a minimally invasive endovascular stent-electrode |
| 11:50~12:00 (10') |
Closing Remarks |
Spotlight List
| # |
Authors |
Title |
| Spotlight 1 |
| 1 |
Y.-J. Yang, J.-S. Kim, C.-K. Chung |
Decoding Action Planning of three-dimensional Movements Using Electrocorticographic signals |
| 2 |
J. Wang, W. Mu, A. Wang, L. Wang, J. Han, P. Wang, L. Niu, J. Bin, L. Zhang, X. Kang |
Generative Adversarial Networks for Electroencephalogram Signal Analysis: A Review |
| 3 |
M. Kim, K. Jung, W. Chung |
Automatic Sleep Stage Classification Method based on Transformer-in-Transformer |
| 4 |
K. Jung, M. Kim, W. Chung |
Epoch-level and Sequence-level Multi-Head Self-Attention-based Sleep Stage Classification |
| 5 |
J. Shin, W. Chung |
Multi-class Motor Imagery Classification using Multi-class SVM with Multi-band Riemannian Tangent Space Mapping |
| 6 |
G.-H. Shin, Y.-S. Kweon, H.-G. Kwak |
Changes in Power and Information Flow in Resting-state EEG by Working Memory Process |
| 7 |
B.-H.- Lee, J.-H. Cho, B.-H. Kwon |
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control |
| 8 |
B.-H. Kwon, B.-H. Lee, J.-H. Cho |
Channel Optimized Visual Imagery based Robotic Arm Control under the Online Environment |
| 9 |
K. Yin, B.-H. Lee, B.-H. Kwon, J.-H. Cho |
Target-centered Subject Transfer Framework for EEG Data Augmentation |
| 10 |
D.-H. Lee, S.-J. Kim, Y.-W. Choi |
Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals |
| 11 |
S.-J. Kim, D.-H. Lee, Y.-W. Choi |
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals |
| 12 |
S. Bak, J. Park, and J. Jeong |
Investigation of stealing passwords stored in human brain Using hemodynamic responses measured by fNIRS |
| 13 |
G. Zhan, H. Su, P. Wang, L. Niu, J. Bin, M. Wei, X. Zhang, H. Jiang, L. Zhang, X. Kang |
Removing EOG Artifacts from the Resting State EEG Signal of Methamphetamine Addicts by ICA Algorithms |
| |
| Spotlight 2 |
| 14 |
D.-Y. Kim, D.-K. Han, H.-B. Shin |
Calibration-Free Driver Drowsiness Classification based on Manifold-Level Augmentation |
| 15 |
S. Jeong, E. Jeon, H.-I. Suk |
Learning-based Sleep Quality Evaluation Model based Similarity Measure for Analysis of Sleep Staging Patterns |
| 16 |
S. Kim, J.-W. Lee, Y.-E. Lee, S.-H. Lee |
Subject-Independent Classification of Brain Signals using Skip Connections |
| 17 |
S. Jo, J. Jeon, S. Jeong, H.-I. Suk |
Channel-Awared Self-Supervised Learning for EEG-based BCI |
| 18 |
H.-G. Kwak, Y.-S. Kweon, G.-H. Shin |
Siamese Sleep Transformer For Robust Sleep Stage Scoring With Self-knowledge Distillation and Selective Batch Sampling |
| 19 |
J.-H. Jeong, D.-J. Sung, K.-T. Kim, S.-J. Kim, D.-J. Kim, H. Kim |
Subject-Transfer with Subject-Specific Fine-Tuning Based on Multi-Model CNN for Motor Imagery Brain-Computer Interface |
| 20 |
D. Jo, C.-H. Lee, H. Kim, H. Kim, J.-B. Kim, D.-J. Kim |
EEG-Based Multioutput Classification of Sleep Stage and Apnea Using Deep Learning |
| 21 |
H.-B. Shin, M.-K. Kim, J.-H. Cho |
Towards Developing Novel and Intuitive Brain-based Control Interface via On-skin Input |
| 22 |
C. Hwang, J.-W. Choi, S. Jo |
Effect of Grasping Speed for Action Observation During Wearable Robotic Glove-Based Motor Imagery Training |
| 23 |
J.-H. Cho, B.-H. Kwon, B.-H. Lee |
Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset |
| 24 |
H. Kwon, J. Choi, J.-W. Choi, S. Jo |
Subject-Aware User State Classification with Deep Learning Models: An Exploratory Study |
| 25 |
S.-H. Lee, Y.-E. Lee, S. Kim, B.-K. Ko, S.-W. Lee |
Towards Neural Decoding of Imagined Speech based on Spoken Speech Spoken Speech in Decoding Imagined Speech from Non-Invasive Human Brain Signals |
| 26 |
D.-K. Han, G.-D. Jang, D.-Y. Kim |
Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition |
| 27 |
Y. Han, S. Park, J. Ha, L. Kim |
Hybrid approach of SSVEP and EEG-based eye gaze tracking for enhancing BCI performance |
|
