Table of Contents

• Investigation on Effect of Speech Imagery EEG Data Augmentation with Actual SpeechJaehoon Choi, Netiwit Kaongoen, Sungho Jo. 1-5 [doi]
• Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery ClassificationJi-Seon Bang, Seong-Whan Lee. 1-5 [doi]
• EEG reactivity changes captured via mobile BCI device following tDCS intervention - a pilot-study in disorders of consciousness (DOC) patientsNeta B. Maimon, Lior Molcho, Efraim Jaul, Nathan Intrator, Jeremy Barron, Oded Meiron. 1-3 [doi]
• A novel neurophysiological feature based on quantifying EEG data for separating of patients in psychiatric disorders with comorbiditiesMiseon Shim, Seung Hwan Lee, Han-Jeong Hwang. 1-3 [doi]
• Development of an In-Car Environment Control System Using an SSVEP-based BCI with Visual Stimuli Presented on a Head-Up DisplaySeonghun Park, Min-Su Kim, Hyerin Nam, Chang-Hwan Im. 1-2 [doi]
• CovMix: Covariance Mixing Regularization for Motor Imagery DecodingGeorgios Zoumpourlis, Ioannis Patras. 1-7 [doi]
• Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG SignalsJeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee. 1-5 [doi]
• Investigating Visual Imagery as a BCI Control Strategy: A Pilot StudyJustin Kilmarx, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Ed Cutrell, Andrew D. Wilson, Ivan Tashev. 1-6 [doi]
• Goal-Driven Atari EnvironmentMyeong Hyeon Kim, Dongjae Kim, Eunsong Jo, Sang Wan Lee. 1-4 [doi]
• EEG Channel Selection Methods for Motor Imagery in Brain Computer InterfaceWei Mu, Tao Fang, Pengchao Wang, Junkongshuai Wang, Aiping Wang, Lan Niu, Jianxiong Bin, Lusheng Liu, Jing Zhang, Jie Jia, Lihua Zhang, Xiaoyang Kang. 1-6 [doi]
• Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer InterfaceDong-Kyun Han, Serkan Musellim, Dong Young Kim, Ji-Hoon Jeong. 1-4 [doi]
• Predicting task performance and brain responses with ongoing neural activityVadim Nikulin. 1-2 [doi]
• Deep Learning for Whole-Brain Cognitive DecodingK.-R. Müller, A. W. Thomas, W. Samek. 1-3 [doi]
• Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of ClassificationJoung-Woo Hyung, Seho Lee, Hakseung Kim, Dong-Joo Kim. 1-4 [doi]
• Vision Combined with MI-Based BCI in Soft Robotic Glove ControlHaram Kwon, Chaeeun Hwang, Sungho Jo. 1-5 [doi]
• Welcome Message from the General ChairsSeong-Whan Lee, Klaus-Robert Müller. 1 [doi]
• Enhancing the Performance of P300-based BCIs by tDCS of the Left VL-PFCNetiwit Kaongoen, Jonghee Jeon, Sungho Jo. 1-5 [doi]
• Differential EEG Characteristics during Working Memory Encoding and Re-encodingGi-Hwan Shin, Young-Seok Kweon. 1-4 [doi]
• Introduction of Beat Oscillation to Improve the Performance of Music BCI DecoderYoumin Shin, Jii Kwon, June-Sic Kim, Chun Kee Chung. 1-5 [doi]
• A Factorization Approach for Motor Imagery ClassificationByeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon. 1-5 [doi]
• Implementation of a closed-loop BCI system for real-time speech synthesis under clinical constraintsKevin Meng, Euiyoung Kim, Simon J. Vogrin, Mark J. Cook, Farhad Goodarzy, David B. Grayden, Chun Kee Chung. 1-6 [doi]
• Multi-Subject Unsupervised Transfer with Weighted Subspace Alignment for Common Spatial PatternsZhiNing Chen, Mahta Mousavi, Virginia R. de Sa. 1-6 [doi]
• Classification Performances due to Asymmetric Nonlinear Weight Updates in Analog Artificial Synapse-Based Hardware Neural NetworksYeon Pyo, Sahn Nahm, Jichai Jeong. 1-2 [doi]
• Individual Differences in Motor Imagery BCIs: a Study of Gender, Mental States and Mu SuppressionMaryam Alimardani, Diana-Eliza Gherman. 1-7 [doi]
• BCI Illiteracy: It's Us, Not Them. Optimizing BCIs for Individual BrainsSuzanna Becker, Kiret Dhindsa, Leila Mousapour, Yar Al Dabagh. 1-3 [doi]
• Decoding the Performance of a Memory Task Using Single-trial Intracranial EEGHyung-Tak Lee, Soyeon Jun, June-Sic Kim, Chun Kee Chung, Han-Jeong Hwang. 1-3 [doi]
• CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIsJi Hyeok Jeong, Keun-Tae Kim, Song Joo Lee, Dong-Joo Kim, Hyungmin Kim. 1-4 [doi]
• Continuous Riemannian Geometric Learning for Sleep Staging ClassificationSeungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk. 1-2 [doi]
• Next-generation BCIs: Brain-to-text Communication via Attempted HandwritingFrancis R. Willett, Donald T. Avansino, Leigh R. Hochberg, Jaimie M. Henderson, Krishna V. Shenoy. 1-2 [doi]
• Possibility of Sleep Induction using Auditory Stimulation based on Mental StatesYoung-Seok Kweon, Gi-Hwan Shin. 1-4 [doi]
• Motor Imagery Classification based on Multi-Kernel CNN with the amalgamated Cross Entropy LossJinhyo Shin, Wonzoo Chung. 1-4 [doi]
• Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interfaceYoung Ho Kang, Dongjae Kim, Sang Wan Lee. 1-5 [doi]
• Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG ClassificationDong-Hee Shin, Dong-Hee Ko, Ji-Wung Han, Tae-Eui Kam. 1-5 [doi]
• EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined SpeechYoung Eun Lee, Seo-Hyun Lee. 1-4 [doi]
• Denoising of EEG Signal Using Permutation Entropy and Source ImagingTao Fang, Wei Mu, Zuoting Song, Song Le, Yuan Zhang, Xueze Zhang, Gege Zhan, Junkongshuai Wang, Lihua Zhang, Jianxiong Bin, Lusheng Liu, Pengchao Wang, Xiaoyang Kang. 1-4 [doi]
• Reading Imagined Letter Shapes from the Mind's Eye Using Real-time 7 Tesla fMRIRainer Goebel, Rick van Hoof, Salil Bhat, Michael Lührs, Mario Senden. 1-3 [doi]
• Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural NetworkHyung-Ju Ahn, Dae-Hyeok Lee. 1-5 [doi]
• Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training MethodByoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho, Ji-Hoon Jeong. 1-5 [doi]
• Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual RecognitionPilhyeon Lee, Sunhee Hwang, Jewook Lee, Minjung Shin, Seogkyu Jeon, Hyeran Byun. 1-6 [doi]
• Recognition of Tactile-related EEG Signals Generated by Self-touchMyoung-Ki Kim, Jeong-Hyun Cho, Hye-Bin Shin. 1-4 [doi]
• The Uses of Brain-Computer Interface in Different Postures to Application in Real LifeDojin Heo, Minju Kim, Jongsu Kim, Yun-Joo Choi, Sung-Phil Kim. 1-5 [doi]
• Motion prediction for the sensorimotor control of hand prostheses with a brain-machine interface using EEGCorentin Piozin, Gabriela Herrera Altamira, Catherine Simon, Brice Lavrard, Jean-Yves Audran, Florian Waszak, Selim Eskiizmirliler. 1-8 [doi]
• Decoding High-level Imagined Speech using Attention-based Deep Neural NetworksDae-Hyeok Lee, Sung Jin Kim, Keon Woo Lee. 1-4 [doi]
• An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIsIrina Dolzhikova, Berdakh Abibullaev, Amin Zollanvari. 1-4 [doi]
• SEEG signal processing methods in the application of epilepsy recognitionAiping Wang, Junkongshuai Wang, Lusheng Liu, Wei Mu, Pengchao Wang, Jing Zhang, Zuoting Song, Yuan Zhang, Gege Zhan, Xuze Zhang, Lihua Zhang, Xiaoyang Kang. 1-6 [doi]
• Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse ConditionsSeo-Hyun Lee, Young Eun Lee, Seong-Whan Lee. 1-4 [doi]
• ∗Maxim Mametkulov, Abay Artykbayev, Darina Koishigarina, Amina Kenessova, Kamilla Razikhova, Taeho Kang, Christian Wallraven, Siamac Fazli. 1-7 [doi]
• A wireless, wearable Brain-Computer Interface for neurorehabilitation at home; A feasibility studySimon Colin, Kathy L. Ruddy. 1-6 [doi]
• Motor Imagery EEG Signal Classification for Stroke Survivors RehabilitationAlex Efstathios Voinas, Rig Das, Muhammad Ahmed Khan, Iris Brunner, Sadasivan Puthusserypady. 1-5 [doi]