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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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Accepted Papers
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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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BCI 2025 Preliminary Program
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February 24, 2025 (Monday)
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12:00~13:00(60')
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Registration |
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13:00~13:10(10')
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Opening Remarks |
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13:10~13:35(25')
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Session 1:
Neural Decoding
(Chair: A. Kübler)
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Deep Learning Meets Source Reconstruction
(K.-R. Müller)
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13:35~13:55(20')
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Visual Decoding using a Learnable Wavelet-based Spatial-Spectral-Temporal EEG Embedding
(Y. Choi, J.-M. Kim, WH Choi, C.-H. Ji, J.-H. Oh, T.-E. Kam)
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13:55~14:15(20')
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Identifying Neural Biomarkers of Confirmation Bias
(A. Singh, J. Liu, A. Voinov, C.-T. Lin)
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14:15~14:35(20')
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Towards A Lightweight Deep Learning Framework for Real-Time Vital Sign Prediction with RGB Cameras
(S.-W. Kim, H.-Y. Park, I.-G. Lee, S.-N. Jang, S.-H. Yu, J.-Y. Oh, G.-M. Moon, J.-H. Jeong)
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14:35~15:00(25')
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Break |
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15:00~15:25(25')
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Session 2:
Efficient BCI
(Chair: T.-E. Kam)
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Improving Performance in fNIRS Single Trial Analysis: Multidisciplinary Opportunities and Perspective
(A. von Lühmann)
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15:25~15:45(20')
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fNIRS Foundation Model for Few-Shot based fNIRS Classification
(E. Jung, H. Lee, J. An)
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15:45~16:05(20')
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Curriculum Learning with Sampling Scheduler for Imbalanced EEG-based Seizure Detection
(WH Choi, J.-M. Kim, H. Nam, T.-E. Kam)
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16:05~16:25(20')
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Evaluation of Efficient and Performance-Retaining cVEP-BCI Class Augmentation
(M. Fodor, A. Cantürk, T.-P.-N. Le, G. Heisenberg, I. Volosyak)
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16:25~16:50(25')
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Break |
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16:50~17:50(60')
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Spotlight Session 1
(Chair: D.-G. Lee)
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5' presentation for the Poster no. 1~12
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18:00~20:00(120')
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Dinner |
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February 25, 2025 (Tuesday)
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08:30~09:00
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Registration |
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09:20~09:45(25')
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Session 3:
Clinical BCI Applications
(Chair: C. Jeunet-Kelway)
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Brain-Computer Interface-based Intervention for General Anxiety in Young Adults
(C. Guan)
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09:45~10:05(20')
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Decoding EEG-based Motor Imagery of Hand Grasp Types for an Amputee Due to Birth Trauma
(S. H. Ahn, Z. Kim, J. H. Jung, H. J. Lee, H. Kim, J. Cho, J. S. Jeong)
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10:05~10:25(20')
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Compact Myocardial Infarction Classification for 3-lead ECG-Based Temporal Convolution with Encoder-Decoder Network
(R. Kim, I. Choi, G. C. Kim, H. S. Song, M. Lee, Y. K. Kim)
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10:25~10:35(10')
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Break |
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10:35~11:00(25')
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Session 4:
Advanced Methodologies for BCI
(Chair: C.-H. Im)
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Towards a Neural ODE Generative Model of Cortical Dynamics
(P. Douglas)
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11:00~11:20(20')
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Personalized Continual EEG Decoding: Retaining and Transferring Knowledge
(D. Li, H.-B. Shin, K. Yin, S.-W. Lee)
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11:20~11:40(20')
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BDANet: A Binary-dimensional Aware Network with Multi-wise Attention for Cognitive Workload Recognition
(Y. Shao, Y. Zhou, D. Zhang)
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11:40~12:00(20')
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Low-Power Feature Extraction for BCI Applications using Approximate Continuous Wavelet Transform
(J. Saad, A. Evans, I. Miro-Panades, T. Aksenova, L. Anghel)
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12:00~14:00(120')
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Lunch |
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14:00~14:25(25')
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Session 5:
Communicative BCI
(Chair: P. Douglas)
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BCI-based Neurofeedback Training Procedures to Restore or Improve Motor Skills: A User-centred Approach
(C. Jeunet-Kelway)
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14:25~14:45(20')
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Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface
(J.-H. Park, S.-H. Lee, S. Kim, S.-W. Lee)
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14:45~15:05(20')
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Automated Feature Engineering for Single-Trial EEG and Eye-Tracking Classification in Predictive Text Interfaces
(A. Kastrati, M. R. Winters, N. Djuric, I. J. Tashev, Y.-T. Wang)
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15:05~15:25(20')
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Activity Prediction for Localizing the Events in Imagined Speech EEG Signals
(A. Balasubramanian, K. Pandey, G. Veer, D. Samanta)
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15:25~15:50(25')
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Break |
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15:50~16:15(25')
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Session 6:
Toward Practical BCI
(Chair: J.-H. Jeong)
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From Lab to Life: Exploring the Real-World Impact of Brain-Computer Interfaces
(M. J Vansteensel)
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16:15~16:35(20')
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EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models
(S. Kim, H.-N. Jo, E. Ko, S.-W. Lee)
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16:35~16:55(20')
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Optimized Time Window Segmentation for Motor Imagery EEG Classification: An Ant Colony Optimization-Based Approach
(R. I. Agustin, P. Raphisak)
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16:55~17:15(20')
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Towards Feasible Deep Learning Approach Using EEG for Neurodegenerative Diseases
(D. Park, H.-J. Kim, Y.-G. Ju, D.-O. Won)
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17:15~17:20(05')
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Break |
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17:20~18:20(60')
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Spotlight Session 2
(Chair: K.-T. Kim)
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5' presentation for the Poster no. 13~24
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18:20~18:30(10')
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Taking a Group Photo on the podium in the session room |
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18:30~20:00(90')
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Banquet |
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February 26, 2025 (Wednesday)
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09:00~09:45(45')
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Session 7:
Innovative BCI Applications
(Chair: J. C. Principe)
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100 years of EEG – Unleashing the Brain’s Secrets
(A. Kübler)
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09:45~10:05(20')
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From Post-Median Nerve Stimulation ERD to MI-BCI Expertise Prediction
(V. M. Cueva, F. Lotte, L. Bougrain, S. Rimbert)
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10:05~10:25(20')
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Feasibility of Secure Transaction Authentication Using a cVEP-Based BCI
(T.-P.-N. Le, M. Fodor, A. Cantürk, I. Volosyak)
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10:25~10:45(20')
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Brain Signal-Based Motion Sickness Classification in Automobile Passengers
(T. Kim, H. Lee, J. An)
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10:45~11:10(25')
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Break |
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11:10~11:35(25')
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Session 8:
Multimodal Representation in BCI
(Chair: L. A. Martinez Tejada)
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Measurable Fields-to-spike Causality and its Dependence on Cortical Layer and Area
(J. C. Principe)
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11:35~11:55(20')
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Multimodal Classification of Motion Sickness Using EEG, fNIRS, and IMU Signals
(H. Lee, T. Kim, J. An)
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11:55~12:15(20')
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EEG-based Multimodal Representation Learning for Emotion Recognition
(K. Yin, H.-B. Shin, D. Li, S.-W. Lee)
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12:15~12:20(5')
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Closing Remarks |
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12:20~13:30(70')
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Lunch |
Poster numbers
| No. |
Authors |
Title |
| 1 |
D.-H. Lee, S.-J. Kim, S.-H. Kim |
Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks |
| 2 |
S. Angelliaume, C. Deshayes, S. C. Ficarella, B. Berberian |
A Transfer-Learning Approach for cross-subjects EEG data Classification |
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S.-J. Kim, D.-H. Lee, H.-T. Han |
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model |
| 4 |
H.-T. Han, D.-H. Lee, H.-G. Kwak |
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals |
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S. Kim, H. Kang, J.-H. Jeong, M. Lee |
Phoneme Classification in Imagined Speech Using Explainable Machine Learning |
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S.-N. Jang, H.-Y. Park, S.-W. Kim, S.-H. Yu, M. Lee, J.-H. Jeong |
Integrated Word2Vec-based Speech Annotations for Enhanced EEG Decoding of Speech Intentions |
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L. A. Martinez-Tejada, N. Yoshimura |
Detection of Positive and Negative Video Game Events from Brain Activity using a Potable EEG-headset and Source Localization |
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S. Jeong, J. Jeon, H.-I. Suk |
Energy-Guided Brain Topology Mamba for EEG-based BCI |
| 9 |
M. Kim, C.-H. Im |
HiRENet: Novel Convolutional Neural Network Architecture using Hilbert-transformed and Raw Electroencephalogram for Subject-Independent Emotion Classification |
| 10 |
BH Lee, K. Yin |
Towards a Network Expansion Approach for Reliable Brain-Computer Interface |
| 11 |
J.-Y. Kim, D.-S. Kim, S.-H. Lee |
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration |
| 12 |
S.-H. Kim, S.-J. Kim, D.-H. Lee |
Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination |
| 13 |
J.-S. Lee, S.-W. Lee, S.-R. Kim, H.-J. Hwang |
Development of EEG-Based Optimal Biomarkers for Decoding Fatigue during Motor Imagery Tasks |
| 14 |
B.-K. Ko, J.-Y. Kim, S.-H. Lee |
Imagined Speech State Classification for Robust Brain-Computer Interface |
| 15 |
H.-G. Kwak, G.-H. Shin, Y.-W. Choi, D.-H. Lee, Y.-I. Jeon, J.-S. Kang, S.-W. Lee |
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms |
| 16 |
S.-H. Lee, J.-H. Park, D.-S. Kim |
Imagined Speech and Visual Imagery as Intuitive Paradigms for Brain-Computer Interfaces |
| 17 |
V. Zaitsev, C.-S. Wei |
AI in EEG-Based BCI for the Diagnosis of Mild Cognitive Impairment: A Mini Review |
| 18 |
H.-N. Jo, Y.-S. Kweon, S.-H. Lee |
EEG Spectral Analysis in Gray Zone Between Healthy and Insomnia |
| 19 |
H.-Y. Lee, M.-K. Jung, C.-H. Lee, H. Kim, D.-J. Kim |
Detection of Alzheimer’s disease and Frontotemporal Dementia: An Explainable Machine Learning Approach Using EEG signals |
| 20 |
H. Kohnen, P. Mavromoustakos-Blom, M. Alimardani |
Is Gamification of Neurofeedback Training effective for ADHD treatment? A Systematic Review |
| 21 |
J.-S. Lee, H.-N. Jo, S.-H. Lee |
Towards Unified Neural Decoding of Perceived, Spoken and Imagined Speech from EEG Signals |
| 22 |
Y. Choi |
Designing an Architecture for a Brain-Computer Interface Operating System: Addressing Neural Input Complexity |
| 23 |
H.-T. Lee, H.-J. Hwang |
A Novel Channel Selection Method for Near-Infrared Spectroscopy-based Brain-Computer Interfaces |
| 24 |
C. Lee, S. Lee, J. Annen, J.-H. Jeong, O. Gosseries, M. Lee |
Classification of Awareness in Disorders of Consciousness Using Common Spatial Pattern |
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Address: International Center for Converging Technology, Room 202, Korea University, 145 Anam-ro, Sengbuk-gu, Seoul, 02841, Korea
Tel: +82-2-3290-5920, Business License Number: 314-82-78572
대표자: 서유헌, 상호명: 한국뇌교육학회
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Last update: 1, Aug. 2025
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