| Network properties in transitions of consciousness during propofol-induced sedation M Lee, RD Sanders, SK Yeom, DO Won, KS Seo, HJ Kim, G Tononi, ... Scientific reports 7 (1), 16791, 2017 | 200 | 2017 |
| Possible Effect of Binaural Beat combined with Autonomous Sensory Meridian Response for Inducing Sleep M Lee, CB Song, GH Shin, SW Lee Frontiers in Human Neuroscience 13, 425, 2019 | 116 | 2019 |
| Connectivity differences between consciousness and unconsciousness in non-rapid eye movement sleep: a TMS–EEG study M Lee, B Baird, O Gosseries, JO Nieminen, M Boly, BR Postle, G Tononi, ... Scientific reports 9 (1), 5175, 2019 | 110 | 2019 |
| Neural Decoding of Imagined Speech and Visual Imagery as Intuitive Paradigms for BCI Communication SH Lee, M Lee, SW Lee IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (12 …, 2020 | 100 | 2020 |
| Quantifying arousal and awareness in altered states of consciousness using interpretable deep learning M Lee, LRD Sanz, A Barra, A Wolff, JO Nieminen, M Boly, M Rosanova, ... Nature communications 13 (1), 1064, 2022 | 99 | 2022 |
| Towards an EEG-based Intuitive BCI Communication System Using Imagined Speech and Visual Imagery SH Lee, M Lee, JH Jeong, SW Lee 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 93 | 2019 |
| Automatic cardiac arrhythmia classification using residual network combined with long short-term memory YK Kim, M Lee, HS Song, SW Lee IEEE Transactions on Instrumentation and Measurement 71, 1-17, 2022 | 49 | 2022 |
| Predicting motor imagery performance from resting-state EEG using dynamic causal modeling M Lee, JG Yoon, SW Lee Frontiers in human neuroscience 14, 321, 2020 | 48 | 2020 |
| Which motor cortical region best predicts imagined movement? C Park, WH Chang, M Lee, GH Kwon, L Kim, ST Kim, YH Kim Neuroimage 113, 101-110, 2015 | 47 | 2015 |
| Frontal EEG Asymmetry of Emotion for the Same Auditory Stimulus M Lee, GH Shin, SW Lee IEEE Access 8, 107200-107213, 2020 | 45 | 2020 |
| Decoding Imagined Speech Based on Deep Metric Learning for Intuitive BCI Communication DY Lee, M Lee, SW Lee IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1363-1374, 2021 | 38 | 2021 |
| EEG Representations of Spatial and Temporal Features in Imagined Speech and Overt Speech SH Lee, M Lee, SW Lee 2019 5th Asian Conference on Pattern Recognition, 387-400, 2019 | 35 | 2019 |
| Functional reorganization and prediction of motor recovery after a stroke: a graph theoretical analysis of functional networks J Lee, M Lee, DS Kim, YH Kim Restorative neurology and neuroscience 33 (6), 785-793, 2015 | 30 | 2015 |
| Mobile BCI dataset of scalp-and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running YE Lee, GH Shin, M Lee, SW Lee Scientific data 8 (1), 315, 2021 | 24 | 2021 |
| Classification of Imagined Speech Using Siamese Neural Network DY Lee, M Lee, SW Lee 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 23 | 2020 |
| Motor imagery learning across a sequence of trials in stroke patients M Lee, C Park, CH Im, JH Kim, GH Kwon, L Kim, WH Chang, YH Kim Restorative neurology and neuroscience 34 (4), 635-645, 2016 | 23 | 2016 |
| Decoding Finger Tapping with the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution M Lee, JH Jeong, YH Kim, SW Lee IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 1099-1109, 2021 | 22 | 2021 |
| Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network J Kalafatovich, M Lee, SW Lee 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 22 | 2020 |
| Decoding Visual Responses based on Deep Neural Networks with Ear-EEG Signals YE Lee, M Lee 2020 8th International Winter Conference on Brain-Computer Interface (BCI), 1-6, 2020 | 21 | 2020 |
| Predicting the performance of motor imagery in stroke patients: multivariate pattern analysis of functional MRI data C Park, WH Chang, M Lee, GH Kwon, L Kim, ST Kim, YH Kim Neurorehabilitation and neural repair 29 (3), 247-254, 2015 | 20 | 2015 |
Giulio TononiUniversity of WisconsinEmail verificata su wisc.edu
