Also on Google Scholar and ORCID. * denotes equal contribution.
In preparation and under review
Unsupervised spectrotemporal alignment of neural drift for longitudinal decoding in preparation
*E. de Montalivet, *S. Sun, N. Mojtahedi, S. Lacour, J. Bloch, H. Lorach, C. Latchoumane, G. Courtine, K. Lee
Time-series foundation models for brain signal analysis: advances, challenges, and future directions in preparation
N. Mojtahedi, C. Boulay, E. de Montalivet, *G. Lajoie, *H. Lorach, *K. Lee
Motor and sensory changes following embodied EEG-based brain-computer interface training in chronic spinal cord injury: a case study under revision
*K. Lee, *T. Corbet, T. Morishita, M. Wessel, Y. Vilaclara, F. Hummel, J. Millán
Peer-reviewed journal articles
Activity-dependent adaptive deep brain stimulation improves gait in Parkinson's disease
S. Scafa, V. de Seta, R. Wang, P. Sánchez López, A. Sánchez López, C. Varescon, I. Sakr, N. Bérard, L. Bole-Feysot, C. Deschenaux, I. Enderli, Y. Thenaisie, M. Burri, F. Merlos, V. Fleury, B. Wicki, E. Accolla, A. Tziakouri, C. Hübsch, M. Castro Jiménez, J. Bally, A. Puiatti, K. Lee, H. Lorach, A. Collomb-Clerc, J. Bloch, E. Moraud
Nature Medicine, 2026
Transforming healthcare through in-body bioelectronic systems perspective
S. Ceto, S. Elshove, M. Wu, K. Ramadi, C. Tondera, I. Minev, S. Srinivasan, K. Lee, M. Gora, J. Rogers, C. Kathe, T. Hutson
Nature Communications, 17, 3438, 2026
MNE-LSL: real-time framework integrated with MNE-Python for online neuroscience research through LSL-compatible devices
M. Scheltienne, E. Larson, A. Desvachez, K. Lee
Journal of Open Source Software, 10(111), 8088, 2025
Principles of gait encoding in the subthalamic nucleus of people with Parkinson's disease
*Y. Thenaisie, *K. Lee, C. Moerman, S. Scafa, A. Gálvez, E. Pirondini, M. Burri, J. Ravier, A. Puiatti, E. Accolla, B. Wicki, A. Zacharia, M. Castro Jiménez, J. Bally, G. Courtine, J. Bloch, E. Moraud
Science Translational Medicine, 14(661), eabo1800, 2022
*co-first authors. Contribution: conceived the study, built the decoding algorithms and analyzed their performance, and developed the deep learning models.
Learning to control a BMI-driven wheelchair for people with severe tetraplegia
L. Tonin, S. Perdikis, T. Kuzu, J. Pardo, B. Orset, K. Lee, M. Aach, T. Schildhauer, R. Martínez-Olivera, J. Millán
iScience, 25(12), 105418, 2022
User adaptation to closed-loop decoding of motor imagery termination
B. Orset, K. Lee, R. Chavarriaga, J. Millán
IEEE Transactions on Biomedical Engineering, 68(1), 3–10, 2021
EEG-based lower-limb movement onset decoding: continuous classification and asynchronous detection
D. Liu, W. Chen, K. Lee, R. Chavarriaga, F. Iwane, M. Bouri, Z. Pei, J. Millán
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(8), 1626–1635, 2018
A brain-controlled exoskeleton with cascaded event-related desynchronization classifiers
K. Lee, D. Liu, L. Perroud, R. Chavarriaga, J. Millán
Robotics and Autonomous Systems, 90, 15–23, 2017
STARE: spatio-temporal attention relocation for multiple structured activities detection
K. Lee, D. Ognibene, H. J. Chang, T.-K. Kim, Y. Demiris
IEEE Transactions on Image Processing, 24(12), 5916–5927, 2015
A syntactic approach to robot imitation learning using probabilistic activity grammars
K. Lee, Y. Su, T.-K. Kim, Y. Demiris
Robotics and Autonomous Systems, 61(12), 1323–1334, 2013
Peer-reviewed conference papers
Reliable decoding of motor state transitions during imagined movement
B. Orset, K. Lee, R. Chavarriaga, J. Millán
IEEE/EMBS Conference on Neural Engineering (NER), 263–266, San Francisco, 2019
An EEG-based brain-computer interface for gait training
D. Liu, W. Chen, K. Lee, Z. Pei, J. Millán
Chinese Control and Decision Conference (CCDC), 6755–6760, Chongqing, 2017
Neural decoding of continuous gait imagery from brain signals
K. Lee, R. Aydarkhanov, L. Randazzo, J. Millán
NeurIPS Workshop on Neurorobotics, 2016
Towards a synchronised grammars framework for adaptive musical human-robot collaboration
M. Sarabia, K. Lee, Y. Demiris
IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 715–721, Kobe, 2015
Learning action symbols for hierarchical grammar induction oral, 15% acceptance
K. Lee, T.-K. Kim, Y. Demiris
International Conference on Pattern Recognition (ICPR), 3778–3782, Tsukuba, 2012
Learning reusable task representations using hierarchical activity grammars with uncertainties oral
K. Lee, T.-K. Kim, Y. Demiris
IEEE International Conference on Robotics and Automation (ICRA), 1994–1999, Saint Paul, 2012
Robust grasping mechanism for an under-actuated anthropomorphic hand under object position uncertainty
Y. Su, Y. Wu, K. Lee, Z. Du, Y. Demiris
IEEE-RAS International Conference on Humanoid Robots, 719–725, Osaka, 2012
Towards incremental learning of task-dependent actions using probabilistic parsing IEEE Outstanding Student Paper
K. Lee, Y. Demiris
IEEE International Conference on Development and Learning (ICDL), 1–6, Frankfurt, 2011
Effective robot task learning by focusing on task-relevant objects oral
K. Lee, J. Lee, A. Thomaz, A. Bobick
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2551–2556, St. Louis, 2009
Book chapters, reviews and thesis
Real-time decoding of leg motor function and dysfunction from the subthalamic nucleus in people with Parkinson's disease
K. Lee et al.
In BCI Research: A State-of-the-Art Summary 11, Springer, 2024
Editorial: neural prostheses for locomotion
Y. Ivanenko, D. Ferris, K. Lee, Y. Sakurai, I. Beloozerova, M. Lebedev
Frontiers in Neuroscience, 15, 788021, 2021
Workshops of the seventh international brain-computer interface meeting: not getting lost in translation
J. Huggins, C. Guger, E. Aarnoutse, B. Allison, C. Anderson, S. Bedrick, W. Besio, R. Chavarriaga, J. Collinger, A. Do, C. Herff, M. Hohmann, M. Kinsella, K. Lee, F. Lotte, G. Müller-Putz, A. Nijholt, E. Pels, B. Peters, F. Putze, R. Rupp, G. Schalk, S. Scott, M. Tangermann, P. Tubig, T. Zander
Brain-Computer Interfaces, 6(3), 71–101, 2019
Endogenous control of powered lower-limb exoskeleton
K. Lee, D. Liu, L. Perroud, R. Chavarriaga, J. Millán
In Wearable Robotics: Challenges and Trends, 115–119, Springer, 2016
Hierarchies in embodied action perception
D. Ognibene, Y. Wu, K. Lee, Y. Demiris
In Computational and Robotic Models of the Hierarchical Organisation of Behaviour, 81–98, Springer, 2012
A syntactic approach to robot learning of human tasks from demonstrations Ph.D. thesis
K. Lee
Department of Electrical and Electronic Engineering, Imperial College London, 2014
Selected talks and posters
- Movement decoding: dealing with neural signal drift. International BCI Meeting, Banff, 2025.
- Upper-limb movement decoding from electrocorticography: stability and reliability. Society for Neuroscience, Chicago, 2024.
- Analysis of different motor attempts from intracortical microelectrode arrays in a completely locked-in patient. Society for Neuroscience, San Diego, 2022.
- Single-trial decoding of binary communication from intracortical arrays in a completely locked-in patient using a deep neural network. Society for Neuroscience, Chicago, 2021.
- Real-time decoding of leg force modulation from local field potentials in the human subthalamic nucleus. Optogenetics and Deep Brain Stimulation, Geneva, 2019.