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ORCIDBCI 2018: Gangwon, Korea
- 6th International Conference on Brain-Computer Interface, BCI 2018, Gangwon, Korea (South), January 15-17, 2018. IEEE 2018, ISBN 978-1-5386-2574-3
- Jihyeon Ha
, Da-Hye Kim, Laehyun Kim:
An approach for assessing stroke motor function ability using the similarity between electroencephalographic power spectral densities on both motor cortices. 1-3 - Mukhtar Alansari, Mahmoud Kamel, Bandar Hakim, Yasser M. Kadah:
Study of wavelet-based performance enhancement for motor imagery brain-computer interface. 1-4 - Sunghee Dong, Jichai Jeong:
Noise reduction in fNIRS data using extended Kalman filter combined with short separation measurement. 1-3 - Minryung R. Song, Sang Wan Lee:
Meta BCI : Hippocampus-striatum network inspired architecture towards flexible BCI. 1-3 - Inhwa Han, Sanghyun Won, Yungeui Kang, Kyungseok Oh, Kyeonghui Kim, Janghwan Jekal, Sang Hyeon Jin, Gi Hyun Lee, Seung Tae Yang, Seon Yoon Jung, Jinung An:
Cortical activation patterns of electrical pain stimulation using fNIRS. 1-3 - Kazuaki Shiba, Takashi Kaburagi, Yosuke Kurihara:
A dynamic Bayesian network analysis of functional connectivity during a language listening comprehension task. 1-4 - Wonjun Ko, Jee Seok Yoon, Eunsong Kang, Eunji Jun, Jun-Sik Choi, Heung-Il Suk:
Deep recurrent spatio-temporal neural network for motor imagery based BCI. 1-3 - Gihyoun Lee, Sang Hyeon Jin, Seong Tae Yang, Jinung An, Berdakh Abibullaev:
Cross-correlation between HbO and HbR as an effective feature of motion artifact in fNIRS signal. 1-3 - Nayoung Kim, Chang S. Nam:
Working memory capacity influences performance and brain networks: Evidence from effective connectivity analysis. 1-4 - Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball:
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding. 1-6 - Yongkoo Park, Wonzoo Chung:
Novel BCI classification method using cross-channel-region CSP features. 1-4 - Yongkoo Park, Wonzoo Chung:
BCI classification using locally generated CSP features. 1-4 - Chang-Hee Han, Chang-Hwan Im:
EEG-based brain-computer interface for real-time communication of patients in completely locked-in state. 1-2 - Soo-In Choi, Ga-Young Choi, Hyung-Tak Lee, Han-Jeong Hwang, Jaeyoung Shin:
Classification of mental arithmetic and resting-state based on Ear-EEG. 1-4 - Hoseok Choi, Jeyeon Lee, Jinsick Park, Baek Hwan Cho, Kyoung-Min Lee, Dong Pyo Jang:
Movement state classification for bimanual BCI from non-human primate's epidural ECoG using three-dimensional convolutional neural network. 1-3 - Junhyuk Choi, Song Joo Lee, Seung-Jong Kim, Jong Min Lee, Hyungmin Kim:
Detecting voluntary gait initiation/termination intention using EEG. 1-3 - Klaus-Robert Müller:
Towards robust machine learning methods for the analysis of brain data. 1-2 - Yiming Jin, Mahta Mousavi, Virginia R. de Sa:
Adaptive CSP with subspace alignment for subject-to-subject transfer in motor imagery brain-computer interfaces. 1-4 - Sungho Jo, Jin Woo Choi:
Effective motor imagery training with visual feedback for non-invasive brain computer interface. 1-4 - Minju Kim, Sung-Phil Kim:
A comparsion of artifact rejection methods for a BCI using event related potentials. 1-4 - Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball:
The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networks. 1-6 - Seokyun Ryun, June Sic Kim, Donghyuk Lee, Chun Kee Chung:
Prediction of motor and somatosensory function from human ECoG. 1-4 - Dongjae Kim, Charles Weston, Sang Wan Lee:
EEG-based classification of learning strategies : Model-based and model-free reinforcement learning. 1-3 - In-Nea Wang, Hyun-Ji Kim, Eun-Ji Kim, Young-Tak Kim, Dong-Joo Kim:
Evaluation of outlier prevalence of density distribution in brain computed tomography: Comparison of kurtosis and quartile statistics. 1-2 - Chang Liu, Songyun Xie, Xinzhou Xie, Xu Duan, Wei Wang, Klaus Obermayer:
Design of a video feedback SSVEP-BCI system for car control based on improved MUSIC method. 1-4 - Minji Lee, Seul-Ki Yeom, Benjamin Baird, Olivia Gosseries, Jaakko O. Nieminen, Giulio Tononi, Seong-Whan Lee:
Spatio-temporal analysis of EEG signal during consciousness using convolutional neural network. 1-3 - Vinicio Changoluisa, Pablo Varona, Francisco B. Rodríguez:
An electrode selection approach in P300-based BCIs to address inter- and intra-subject variability. 1-4 - G. R. Kiran Kumar, M. Ramasubba Reddy:
Exploiting the temporal structure of EEG data for SSVEP detection. 1-4 - Mikhail A. Lebedev:
Towards a versatile brain-machine interface: Neural decoding of multiple behavioral variables and delivering sensory feedback versatile brain-machine interface. 1-2 - Ga-Young Choi, Soo-In Choi, Han-Jeong Hwang:
Individual identification based on resting-state EEG. 1-4 - Dongjae Kim, Sang Wan Lee:
Context-dependent meta-control for reinforcement learning using a Dirichlet process Gaussian mixture model. 1-3 - Batyrkhan Saduanov, Tohid Alizadeh, Jinung An, Berdakh Abibullaev:
Trained by demonstration humanoid robot controlled via a BCI system for telepresence. 1-4 - Yoon-Kyu Song, Jihun Lee, Jungwoo Jang, Chae-Eun Lee, Ah-Hyoung Lee:
A neural recording microimplants with wireless data and energy transfer link. 1-5 - Gernot R. Müller-Putz, Joana Pereira, Patrick Ofner, Andreas Schwarz, Catarina Lopes Dias, Reinmar J. Kobler, Lea Hehenberger, Andreas Pinegger, Andreea Ioana Sburlea:
Towards non-invasive brain-computer interface for hand/arm control in users with spinal cord injury. 1-4 - Martin Völker, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Wolfram Burgard, Tonio Ball:
Deep transfer learning for error decoding from non-invasive EEG. 1-6 - Ji-Hoon Jeong, Keun-Tae Kim, Yong-Deok Yun, Seong-Whan Lee:
Design of a brain-controlled robot arm system based on upper-limb movement imagery. 1-3 - Netiwit Kaongoen, Sungho Jo:
An auditory P300-based brain-computer interface using Ear-EEG. 1-4 - Peter König, Andrew Melnik, Caspar Goeke, Anna L. Gert, Sabine U. König, Tim C. Kietzmann:
Embodied cognition. 1-4 - Min-Ki Kim, Sung-Phil Kim:
Decoding movement information from cortical activity for invasive BMIs. 1-3 - Min-Hee Ahn, Byoung-Kyong Min:
Applying deep-learning to a top-down SSVEP BMI. 1-3 - Seung Tae Yang, Sang Hyeon Jin, Gihyoun Lee, Seon Yun Jeong, Jinung An:
Dominant and subdominant hand exhibit different cortical activation patterns during tactile stimulation: An fNIRS study. 1-3 - Artemiy Oleinikov, Berdakh Abibullaev, Almas Shintemirov, Michele Folgheraiter:
Feature extraction and real-time recognition of hand motion intentions from EMGs via artificial neural networks. 1-5 - Taeho Kang, Yiyu Chen, Siamac Fazli, Christian Wallraven:
Decoding of human memory formation with EEG signals using convolutional networks. 1-5 - Eojin Rho, Sungho Jo:
OctoMap-based semi-autonomous quadcopter navigation with biosignal classification. 1-4 - Yong-Jeong Kim, No-Sang Kwak, Seong-Whan Lee:
Classification of motor imagery for Ear-EEG based brain-computer interface. 1-2 - Jaeyoung Shin, Alexander von Lühmann, Benjamin Blankertz, Do-Won Kim, Jan Mehnert, Jichai Jeong, Han-Jeong Hwang, Klaus-Robert Müller:
Open access repository for hybrid EEG-NIRS data. 1-4 - Arto V. Nurmikko:
Approaches to large scale neural recording by chronic implants for mobile BCIs. 1-2 - Tomislav Milekovic:
Brain-computer interfaces based on intracortical recordings of neural activity for restoration of movement and communication of people with paralysis. 1-2 - Seung-Bo Lee, Eun-Suk Song, Hakseung Kim, Dong-Joo Kim:
Robust arterial blood pressure onset detection method from signal artifacts. 1-3 - Loïc Botrel, Andrea Kübler:
Reliable predictors of SMR BCI performance - Do they exist? 1-3
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