Sang Wan Lee, Ph.D.
Affiliations: | 2015- | Korea Advanced Institute of Science and Technology, Daejeon, South Korea |
Area:
Computational neuroscience, brain-inspired AIWebsite:
http://aibrain.kaist.ac.kr/Google:
"Sang Wan Lee"Mean distance: 12.68 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Zeungnam Bien | grad student | 2005-2009 | KAIST |
| Christopher Fiorillo | post-doc | 2009-2010 | KAIST |
| Tomaso A. Poggio | post-doc | 2010-2011 | MIT |
| John P. O'Doherty | post-doc | 2011-2015 | Caltech |
| Shinsuke Shimojo | post-doc | 2011-2015 | Caltech |
Children
Sign in to add trainee| Minsu Abel Yang | grad student | 2021- | Korea Advanced Inst. of Science and Technology (KAIST) |
| Dongjae Kim | grad student | 2016-2021 | Korea Advanced Inst. of Science and Technology (KAIST) |
| Jee Hang Lee | post-doc | KAIST | |
| Minsu Abel Yang | research scientist | 2019-2021 | Korea Advanced Inst. of Science and Technology (KAIST) |
| Young Hoon Kim | research scientist | 2018-2022 | KAIST |
BETA: Related publications
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Publications
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| Song MR, Lee SW. (2024) Rethinking dopamine-guided action sequence learning. The European Journal of Neuroscience |
| Lee JH, Heo SY, Lee SW. (2024) Controlling human causal inference through in silico task design. Cell Reports. 113702 |
| Baker M, Kang S, Hong SI, et al. (2023) External globus pallidus input to the dorsal striatum regulates habitual seeking behavior in male mice. Nature Communications. 14: 4085 |
| Kang S, Hong SI, Kang S, et al. (2023) Astrocyte activities in the external globus pallidus regulate action-selection strategies in reward-seeking behaviors. Science Advances. 9: eadh9239 |
| Ruan Z, Seger CA, Yang Q, et al. (2023) Impairment of arbitration between model-based and model-free reinforcement learning in obsessive-compulsive disorder. Frontiers in Psychiatry. 14: 1162800 |
| Lee JH, Leibo JZ, An SJ, et al. (2022) Importance of prefrontal meta control in human-like reinforcement learning. Frontiers in Computational Neuroscience. 16: 1060101 |
| Yaman A, Bredeche N, Çaylak O, et al. (2022) Meta-control of social learning strategies. Plos Computational Biology. 18: e1009882 |
| Kim D, Jeong J, Lee SW. (2021) Prefrontal solution to the bias-variance tradeoff during reinforcement learning. Cell Reports. 37: 110185 |
| O'Doherty JP, Lee S, Tadayonnejad R, et al. (2021) Why and how the brain weights contributions from a mixture of experts. Neuroscience and Biobehavioral Reviews |
| Song MR, Lee SW. (2020) Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity. Neural Networks : the Official Journal of the International Neural Network Society. 126: 95-107 |