| Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning. D Kim, GY Park, J O'Doherty, SW Lee Nature communications, 2019 | 46 | 2019 |
| Model-based BCI: A novel brain-computer interface framework for reading out learning strategies underlying choices D Kim, SW Lee 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 7 | 2018 |
| Decoding learning strategies from EEG signals provides generalizable features for decoding decision D Kim, MH Kim, SW Lee 2021 9th International Winter Conference on Brain-Computer Interface (BCI), 1-5, 2021 | 6 | 2021 |
| Decoding both intention and learning strategies from EEG signals D Kim, SW Lee 2019 7th International Winter Conference on Brain-Computer Interface (BCI), 1-4, 2019 | 5 | 2019 |
| Decoding prefrontal cognitive states from electroencephalography in virtual-reality environment D Kim, J Park, J Hwang, WH Cho, SW Lee 2020 8th International Winter Conference on Brain-Computer Interface (BCI), 1-3, 2020 | 4 | 2020 |
| Impairment of arbitration between model-based and model-free reinforcement learning in obsessive–compulsive disorder Z Ruan, CA Seger, Q Yang, D Kim, SW Lee, Q Chen, Z Peng Frontiers in Psychiatry 14, 1162800, 2023 | 3 | 2023 |
| Reward prediction error neurons implement an efficient code for reward HH Schütt, D Kim, WJ Ma bioRxiv, 2022.11. 03.515104, 2022 | 3 | 2022 |
| Prefrontal solution to the bias-variance tradeoff during reinforcement learning D Kim, J Jeong, SW Lee Cell Reports 37 (13), 2021 | 3 | 2021 |
| On the reliability and generalizability of brain-inspired reinforcement learning algorithms D Kim, JH Lee, JH Shin, MA Yang, SW Lee arXiv preprint arXiv:2007.04578, 2020 | 3 | 2020 |
| Context-dependent meta-control for reinforcement learning using a Dirichlet process Gaussian mixture model D Kim, SW Lee 2018 6th International Conference on Brain-Computer Interface (BCI), 1-3, 2018 | 2 | 2018 |
| EEG-based classification of learning strategies: Model-based and model-free reinforcement learning D Kim, C Weston, SW Lee 2018 6th International Conference on Brain-Computer Interface (BCI), 1-3, 2018 | 2 | 2018 |
| Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface YH Kang, D Kim, SW Lee 2022 10th International Winter Conference on Brain-Computer Interface (BCI), 1-5, 2022 | 1 | 2022 |
| Behavioral and neural evidence for intrinsic motivation effect on reinforcement learning D Kim, SW Lee 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, 2019 | 1 | 2019 |
| Hierarchical control architecture regulating competition between model-based and context-dependent model-free reinforcement learning strategies D Kim, GY Park, SW Lee 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 1 | 2018 |
| Goal-Driven Atari Environment MH Kim, D Kim, E Jo, SW Lee 2022 10th International Winter Conference on Brain-Computer Interface (BCI), 1-4, 2022 | | 2022 |
| Undoing in human planning D Kim, SD Bao, Q Fu, WJ Ma Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022 | | 2022 |
| Development of flexible reinforcement learning algorithms using model-based fMRI analyses D Kim Korea Advanced Institute of Science and Technology, 2021 | | 2021 |
| Evidence of behavioral and neural interaction between task complexity and state-space uncertainty during reinforcement learning D Kim, GY Park, JP O'doherty, SW Lee Computational and Systems Neuroscience (COSYNE), 2019 | | 2019 |
| Deciphering model-based and model-free reinforcement learning strategies and choices from EEG D Kim, SW Lee 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, 2019 | | 2019 |
| Dynamic encoding of reward and latent task structures in human reinforcement learning DJ Kim, SW Lee Computational and Systems Neuroscience (COSYNE), 2018 | | 2018 |
