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Overview
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Announcement
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Important Dates
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Committee
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Call for Papers
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Author Instructions
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Paper Submissions
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Invited Talks
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Technical Program
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Registration
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Visa Assistance
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Venue & Accomodation
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General Information
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Sponsors
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* The following final technical program was updated on Jan. 17, 2024
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AUTHOR |
AFFILIATION |
TITLE |
| February 26, 2024 (Monday) (UTC/GMT +09:00) Asia/Seoul) |
Day 1 |
|
13:05~13:10(5') |
Opening Remark |
Session 1 (Efficient BCI)
(Chair: Prof. K.-R. Müller) |
13:10~13:35
(25') |
K.-R. Müller |
Technical University of Berlin |
Deep Learning made transferable: studying Brain decoding |
13:35~13:55
(20') |
J.-M. Kim, S. Bak, H. Nam, WH Choi, T.-E. Kam |
Korea University |
Meta-Learning-based Cross-Dataset Motor Imagery Brain-Computer Interface |
13:55~14:15
(20') |
M. Wimpff, M. Döbler, B. Yang |
University of Stuttgart |
Calibration-free online test-time adaptation for electroencephalography motor imagery decoding |
14:15~14:35
(20') |
H.-B. Shin, K. Yin, S.-W. Lee |
Korea University |
Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution |
Break (25') |
Session 2 (Innovative BCI Applications)
(Chair: Prof. D. Boas) |
15:00~15:25 (25') |
D. Boas |
Boston University |
Advances in Wearable High Density fNIRS and Utility for BCI |
15:25~15:50 (25') |
S. Kober |
University of Graz |
Can a placebo increase learning rates? Evidence from neurofeedback studies |
15:50~16:10 (20') |
W. Huang, X. Song, D. Kuang |
Sun Yat-Sen University |
A Hierarchical Diffusion-Convolutional Network with Node-wise Localization for EEG-NIRS-based Brain-Computer Interface |
16:10~16:30 (20') |
S.-H. Yu, Y.-M. Go, H.-Y. Park, S.-J. Lee, M. Lee, J.-H. Jeong |
Chungbuk National University |
Towards Motor Imagery Classification of Finger Tapping by Both Hands for Controlling a Finger-Arm Bionic Robot |
| 16:30~16:50 (20') |
Break (20') |
| Poster Session |
16:50~17:50 (60') |
Poster presentations |
|
18:00~20:00 (120') |
Dinner |
| Feb. 27, 2024 (UTC/GMT +09:00) Asia/Seoul) |
Day 2 |
Session 3 (Neural Decoding)
(Chair: Prof. D.-O. Won) |
09:00~09:25
(25') |
K. Kording |
University of Pennsylvania |
Neural decoding for BCI: the objectives, principles and the future |
| 09:25~09:45 (20') |
P. S. Shabestari, T. Kleinjung, F. Schmidt, P. Neff |
University of Zurich |
Parameterized Cortical Power Spectra as a Novel Neural Feature for Real Time BCI |
| 09:45~10:05 (20') |
Y. Huh, R. Kim, J. H. Koo, Y. K. Kim, K.-N. Lee, M. Lee |
Catholic University |
Automatic Sleep Stage Classification Based on Deep Learning for Multi-channel Signals |
| 10:05~10:25 (20') |
S. Rimbert, V. M. Cueva, L. B., F. Lotte |
INRIA |
Prediction of Motor-Imagery-BCI performance using Median Nerve Stimulation |
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10:25~10:35 (10') |
Break (10') |
Session 4 (Clinical BCI Applications)
(Chair: Prof. A. Kübler) |
10:35~11:00 (25') |
T. Settgast, A. Kübler |
University of Würzburg |
Brain Criticality as a Potential Indicator of Windows of Consciousness in ALS-Patients and Its Relation to BCI Operation |
| 11:00~11:20 (20') |
Y. Cheong, J. Bae, S. Lee, J. Ro, H. Kosaka, I. Lyu, M. Jung |
KBRI |
Prediction of Autism Spectrum Disorder using Epigenetic, Brain, and Sensory Behavioral Factors |
| 11:20~11:40 (20') |
S. Rasheed, J. Bennett, P. Yoo, N. Opie, A. Burkitt, D. Grayden |
The University of Melbourne |
Comparing cardiac artifact removal algorithms for endovascular brain-computer interface recordings |
| 11:40~12:00 (20') |
H. Jang, S.-K. Kim, J. Ha, L. Kim |
KIST |
Early Detection of Alzheimer’s Disease through Analysis of EEG Responses to Word Recognition |
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12:00~14:00 (120') |
Lunch (120') |
Session 5 (Advanced Methodologies for BCI )
(Chair: Prof. H.-C. Kim) |
14:00~14:25 (25') |
C. Guan |
Nanyang University of Technology |
Geometric deep learning for motor brain-computer interface |
| 14:25~14:45 (20') |
G. Zoumpourlis, I. Patras |
Queen Mary University of London |
Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training |
| 14:45~15:05 (20') |
X. Xu, S. W. Lee |
KAIST |
Decoding Human Prediction Errors for Human-Robot Value Alignment |
| 15:05~15:25 (20') |
J.-E. Kang, C. Lee, J.-H. Lee |
Korea University |
Integrated Convolutional and Graph Attention Neural Networks for Electroencephalography |
| Break (25') |
Session 6 (Generative BCI)
(Chair: Prof. PK Douglas) |
15:50~16:15 (25') |
PK Douglas |
UCLA |
Towards a White Matter Ephaptic Coupling Model of 1/f Spectra |
| 16:15~16:35 (20') |
S. Kim, S.-H. Lee, Y.-E. Lee, J.-W. Lee, J.-H. Park, P. Kazanzides, S.-W. Lee |
Korea University |
Brain-Driven Representation Learning Based on Diffusion Model |
| 16:35~16:55 (20') |
G. Mahajan, Jeevan R, Divija L, P Deekshitha Kumari, S. Narayan |
PES University |
Deciphering EEG Waves for the Generation of Images |
| 16:55~17:15 (20') |
M. Kim, W. Chung |
Korea University |
Convolutional Transformer-in-Transformer for Automatic Sleep Stage Classification |
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17:15~17:25 (10') |
Break (10') |
| Poster Session |
17:25~18:00 (35') |
Poster presentations |
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18:00~20:00 (120') |
Banquet |
| Feb. 28, 2024 (Wednesday) (UTC/GMT +09:00) Asia/Seoul) |
Day 3 |
Session 7 (Surveillance Systems)
(Chair: Dr. H. Ku) |
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Break |
| 09:00~09:25 (25') |
T. Vaughan |
National Center for Adaptive Neurotechnologies |
Practical Matters: Delivering Useful BCIs |
| 09:25~09:45 (20') |
D.-K. Han, S.-J. Kim, H.-G. Kwak, B.-H. Kwon, B.-H. Lee, S.-W. Lee |
Korea University |
EEG-Based Target Recognition for Multi-camera Surveillance Systems |
| 09:45~10:05 (20') |
S. Nam, S. Jang, Y. Song, B. Choi, J. Kim, J. Jeong |
KAIST |
The Impact of Mini-batch Design on EEG Classification in Anomaly Detection for Video Surveillance |
| 10:05~10:25 (20') |
M.-H. Yun, H. Jang, S. Ahn, H.-C. Kim |
Kyungpook National University |
Object Detection in Surveillance Video using EEG with Domain Adaptation Approach |
| 10:25~10:45 (20') |
E. Won, S. Lim, Y. Kim, S.-Y. Dong |
Sookmyung Women's University |
Real-Time BCI System for Target Detection |
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10:45~11:10 (25') |
Break (25') |
Session 8 (Toward Practical BCI)
(Chair: Prof. J.-H. Jeong) |
11:10~11:35 (25') |
M. Sugiyama |
RIKEN Center for Advanced Intelligence Project/The University of Tokyo |
Overcoming Continuous Distribution Shifts: Challenges in Online Machine Learning |
| 11:35~11:55 (20') |
C. Phunruangsakao, J. Budsuren, M. Hayashibe |
Tohoku University |
Modulation of Alpha Band Brain Connectivity during Motor Imagery via Bimanual Motor Training |
| 11:55~12:15 (20') |
J. Shin, W. Chung |
Korea University |
Channel-optimized Local Region Riemannian Approach for Motor Imagery Classification |
12:15~12:20
(5') |
Closing Remarks |
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12:20~13:30
(110') |
Lunch |
Poster session list
| # |
Authors |
Title |
| 1 |
Byeong-Hoo Lee, Byoung-Hee Kwon, Seong-Whan Lee |
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface |
| 2 |
Ha-Na Jo, Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Seong-Whan Lee |
Relationship Between Mood, Sleepiness, and EEG Functional Connectivity by 40 Hz Monaural Beats |
| 3 |
Qingya Li, Zhiwei Zhang |
A Signal Acquisition Approach for Implantable Brain-Machine Interface System |
| 4 |
Dong-Young Kim, Dong-Kyun Han, Seo-Hyeon Park, Geun-Deok Jang, Seong-Whan Lee |
Improving Generalization of Drowsiness State Classification by Domain-Specific Normalization |
| 5 |
Dong Kyeok Lee, Chun Kee Chung |
Enhancing Neural Decoding with Large Language Models: A GPT-Based Approach |
| 6 |
Liang Shen, Bo Wen, Zihua Chen, Minjie Wang, Xiaoyang Kang, Jianjun Wu, Kai Cao, Lihua Zhang, Bo Shen, Linlin Han |
Revolutionizing Intrusive Neural Interfaces: Vascular Stent-Based Neural Electrodes |
| 7 |
Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim, Seong-Whan Lee |
Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment |
| 8 |
Heon-Gyu Kwak, Sung-Jin Kim, Hyeon-Taek Han, Ji-Hoon Jeong, Seong-Whan Lee |
Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance System |
| 9 |
Koohong Jung, Wonzoo Chung |
Temporal Convolutional Network-based Multi-View Sleep Staging |
| 10 |
Yukyung Kim, Je-Hyeop Lee, Je-Choon Park, Jeongwook Kwon, Sangbin Yun, Jaewon Yang, Jeehye Seo, Byoung-Kyong Min |
Enhanced inhibitory control following out-of-phase theta tACS between the lDLPFC and dACC |
| 11 |
Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han, Dae-Hyeok Lee, Ji-Hoon Jeong, Seong-Whan Lee |
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images |
| 12 |
Sangmin Jo, Seungwoo Jeong, Jaehyun Jeon, Jungye Kim, Yeajin Shon, Heung-Il Suk |
Enhancing EEG Domain Generalization via Weighted Contrastive Learning |
| 13 |
Byoung-Hee Kwon, Dong-Kyun Han, Hyung-Ju Ahn, Seong-Whan Lee |
Exploring the Feasibility of Event-Related Potentials in Visual Surveillance Applications |
| 14 |
Hyunmin Lee, Taehun Kim, Jinung An* |
A Transformer Model with Spatiotemporal Input Embedding for fNIRS data-Driven Neural Decoding |
| 15 |
Nikita Piliugin, Gurgen Soghoyan, Artur Biktimirov, Yury Matvienko, Ilya Chekh, Mikhail Sintsov, Mikhail Lebedev, Alexander Kaplan |
Unraveling Sensory Restoration: Decoding Complex Behavioral Data through Peripheral Nerve Stimulation Analysis |
| 16 |
Kang Yin, Hye-Bin Shin, Hee-Dong Kim, Seong-Whan Lee |
Pioneering EEG Motor Imagery Classification Through Counterfactual Analysis |
| 17 |
HyoSeon Choi, ChaeEun Woo, JiYun Kong, Byung Hyung Kim |
Multi-Output Regression for Integrated Prediction of Valence and Arousal in EEG-Based Emotion Recognition |
| 18 |
Minju Kim, Donghyeok Jo, In-Nea Wang, Hakseung Kim, Jung Bin Kim, Dong-Joo Kim |
Enhancing Everyday Seizure Detection: A Channel Reduction Approach |
| 19 |
Seo-Hyun Lee, Young-Eun Lee, Soowon Kim, Byung-Kwan Ko, Jun-Young Kim, Seong-Whan Lee |
Neural Speech Embeddings for Speech Synthesis Based on Deep Generative Networks |
| 20 |
Jungye Kim, Seungwoo Jeong, Jaehyun Jeon, Sangmin Jo, Yeajin Shon, Heung-Il Suk |
Unveiling Diagnostic Potential: EEG Microstate Representation Model for Alzheimer’s Disease and Frontotemporal Dementia |
| 21 |
Changha Lee, Jae-eon Kang, Jong-Hwan Lee |
Binaural Beats Modulated Affected Emotions: Evidence From Simultaneous Electroencephalography-Functional MRI Study |
| 22 |
Gi-Hwan Shin, Young-Seok Kweon, Heon-Gyu Kwak, Ha-Na Jo, Seong-Whan Lee |
Impact of Nap on Performance in Different Working Memory Tasks Using EEG |
| 23 |
Jaehyun KIM, Sungu Nam, Sangjin Jang, Youngjo Song, Byunghyuk Choi, Jaeseung Jeong |
Decoding EEG Signals Both During and After Offset of Small and Short-Time Visual Target Stimulus |
| 24 |
Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak, Ha-Na Jo, Seong-Whan Lee |
Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography |
| 25 |
Young-Eun Lee, Seo-Hyun Lee, Soowon Kim, Jung-Sun Lee, Deok-Seon Kim, Seong-Whan Lee |
Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals |
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