Table of Contents

• Context-dependent meta-control for reinforcement learning using a Dirichlet process Gaussian mixture modelDongjae Kim, Sang Wan Lee. 1-3 [doi]
• Detecting voluntary gait initiation/termination intention using EEGJunhyuk Choi, Song Joo Lee, Seung-Jong Kim, Jong-Min Lee, Hyungmin Kim. 1-3 [doi]
• Classification of mental arithmetic and resting-state based on Ear-EEGSoo-In Choi, Ga-Young Choi, Hyung-Tak Lee, Han-Jeong Hwang, Jaeyoung Shin. 1-4 [doi]
• Towards robust machine learning methods for the analysis of brain dataK.-R. Muller. 1-2 [doi]
• Dominant and subdominant hand exhibit different cortical activation patterns during tactile stimulation: An fNIRS studySeung Tae Yang, Sang-Hyeon Jin, Gihyoun Lee, Seon Yun Jeong, Jinung An. 1-3 [doi]
• Prediction of motor and somatosensory function from human ECoGSeokyun Ryun, June-Sic Kim, Donghyuk Lee, Chun Kee Chung. 1-4 [doi]
• Reliable predictors of SMR BCI performance - Do they exist?Loïc Botrel, Andrea Kübler. 1-3 [doi]
• EEG-based brain-computer interface for real-time communication of patients in completely locked-in stateChang Hee Han, Chang-Hwan Im. 1-2 [doi]
• Approaches to large scale neural recording by chronic implants for mobile BCIsArto V. Nurmikko. 1-2 [doi]
• Cross-correlation between HbO and HbR as an effective feature of motion artifact in fNIRS signalGihyoun Lee, Sang-Hyeon Jin, Seong Tae Yang, Jinung An, Berdakh Abibullaev. 1-3 [doi]
• EEG-based classification of learning strategies : Model-based and model-free reinforcement learningDongjae Kim, Charles Weston, Sang Wan Lee. 1-3 [doi]
• OctoMap-based semi-autonomous quadcopter navigation with biosignal classificationEojin Rho, Sungho Jo. 1-4 [doi]
• Evaluation of outlier prevalence of density distribution in brain computed tomography: Comparison of kurtosis and quartile statisticsIn-Nea Wang, Hyun-Ji Kim, Eun Ji Kim, Young-Tak Kim, Dong-Joo Kim. 1-2 [doi]
• A comparsion of artifact rejection methods for a BCI using event related potentialsMinju Kim, Sung-Phil Kim. 1-4 [doi]
• Robust arterial blood pressure onset detection method from signal artifactsSeung-Bo Lee, Eun-Suk Song, Hakseung Kim, Dong-Joo Kim. 1-3 [doi]
• Working memory capacity influences performance and brain networks: Evidence from effective connectivity analysisNayoung Kim, Chang S. Nam. 1-4 [doi]
• Classification of motor imagery for Ear-EEG based brain-computer interfaceYong Jeong Kim, No-Sang Kwak, Seong-Whan Lee. 1-2 [doi]
• Deep recurrent spatio-temporal neural network for motor imagery based BCIWonjun Ko, Jee Seok Yoon, Eunsong Kang, Eunji Jun, Jun-Sik Choi, Heung-Il Suk. 1-3 [doi]
• Towards non-invasive brain-computer interface for hand/arm control in users with spinal cord injuryGernot R. Müller-Putz, Joana Pereira, Patrick Ofner, Andreas Schwarz, Catarina Lopes Dias, Reinmar J. Kobler, Lea Hehenberger, Andreas Pinegger, Andreea Ioana Sburlea. 1-4 [doi]
• Exploiting the temporal structure of EEG data for SSVEP detectionG. R. Kiran Kumar, M. Ramasubba Reddy. 1-4 [doi]
• Open access repository for hybrid EEG-NIRS dataJaeyoung Shin, Alexander von Lühmann, Benjamin Blankertz, Do-Won Kim, Jan Mehnert, Jichai Jeong, Han-Jeong Hwang, Klaus-Robert Müller. 1-4 [doi]
• Noise reduction in fNIRS data using extended Kalman filter combined with short separation measurementSunghee Dong, Jichai Jeong. 1-3 [doi]
• The signature of robot action success in EEG signals of a human observer: Decoding and visualization using deep convolutional neural networksJoos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball. 1-6 [doi]
• Study of wavelet-based performance enhancement for motor imagery brain-computer interfaceMukhtar Alansari, Mahmoud Kamel, Bandar Hakim, Yasser M. Kadah. 1-4 [doi]
• Applying deep-learning to a top-down SSVEP BMIMin-Hee Ahn, Byoung-Kyong Min. 1-3 [doi]
• Decoding of human memory formation with EEG signals using convolutional networksTaeho Kang, Yiyu Chen 0002, Siamac Fazli, Christian Wallraven. 1-5 [doi]
• Deep transfer learning for error decoding from non-invasive EEGMartin Völker, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Wolfram Burgard, Tonio Ball. 1-6 [doi]
• Meta BCI : Hippocampus-striatum network inspired architecture towards flexible BCIMinryung R. Song, Sang Wan Lee. 1-3 [doi]
• Decoding movement information from cortical activity for invasive BMIsMin-Ki Kim, Sung-Phil Kim. 1-3 [doi]
• A dynamic Bayesian network analysis of functional connectivity during a language listening comprehension taskKazuaki Shiba, Takashi Kaburagi, Yosuke Kurihara. 1-4 [doi]
• Effective motor imagery training with visual feedback for non-invasive brain computer interfaceSungho Jo, Jin-Woo Choi. 1-4 [doi]
• An approach for assessing stroke motor function ability using the similarity between electroencephalographic power spectral densities on both motor corticesJihyeon Ha, Da-hye Kim, Laehyun Kim. 1-3 [doi]
• An electrode selection approach in P300-based BCIs to address inter- and intra-subject variabilityVinicio Changoluisa, Pablo Varona, Francisco B. Rodríguez. 1-4 [doi]
• Movement state classification for bimanual BCI from non-human primate's epidural ECoG using three-dimensional convolutional neural networkHoseok Choi, Jeyeon Lee, Jinsick Park, Baek Hwan Cho, Kyoung-Min Lee, Dong Pyo Jang. 1-3 [doi]
• Embodied cognitionPeter König, Andrew Melnik, Caspar Goeke, Anna L. Gert, Sabine U. König, Tim C. Kietzmann. 1-4 [doi]
• Feature extraction and real-time recognition of hand motion intentions from EMGs via artificial neural networksArtemiy Oleinikov, Berdakh Abibullaev, Almas Shintemirov, Michele Folgheraiter. 1-5 [doi]
• BCI classification using locally generated CSP featuresYongkoo Park, Wonzoo Chung. 1-4 [doi]
• An auditory P300-based brain-computer interface using Ear-EEGNetiwit Kaongoen, Sungho Jo. 1-4 [doi]
• Adaptive CSP with subspace alignment for subject-to-subject transfer in motor imagery brain-computer interfacesYiming Jin, Mahta Mousavi, Virginia R. de Sa. 1-4 [doi]
• Individual identification based on resting-state EEGGa-Young Choi, Soo-In Choi, Han-Jeong Hwang. 1-4 [doi]
• Trained by demonstration humanoid robot controlled via a BCI system for telepresenceBatyrkhan Saduanov, Tohid Alizadeh, Jinung An, Berdakh Abibullaev. 1-4 [doi]
• A neural recording microimplants with wireless data and energy transfer linkYoon-Kyu Song, Jihun Lee, Jungwoo Jang, Chae-Eun Lee, Ah-Hyoung Lee. 1-5 [doi]
• Design of a brain-controlled robot arm system based on upper-limb movement imageryJi-Hoon Jeong, Keun-Tae Kim, Yong-Deok Yun, Seong-Whan Lee. 1-3 [doi]
• Towards a versatile brain-machine interface: Neural decoding of multiple behavioral variables and delivering sensory feedback versatile brain-machine interfaceMikhail A. Lebedev. 1-2 [doi]
• Spatio-temporal analysis of EEG signal during consciousness using convolutional neural networkMinji Lee, Seul-Ki Yeom, Benjamin Baird, Olivia Gosseries, Jaakko O. Nieminen, Giulio Tononi, Seong-Whan Lee. 1-3 [doi]
• Cortical activation patterns of electrical pain stimulation using fNIRSInhwa 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. 1-3 [doi]
• Novel BCI classification method using cross-channel-region CSP featuresYongkoo Park, Wonzoo Chung. 1-4 [doi]
• Brain-computer interfaces based on intracortical recordings of neural activity for restoration of movement and communication of people with paralysisTomislav Milekovic. 1-2 [doi]
• Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decodingKay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball. 1-6 [doi]
• Design of a video feedback SSVEP-BCI system for car control based on improved MUSIC methodChang Liu, Songyun Xie, Xinzhou Xie, Xu Duan, Wei Wang, Klaus Obermayer. 1-4 [doi]