Publications
What we have published

  • Double dissociation of visuomotor interaction mediated by visual feedback during continuous de novo motor learning

    Kim, J., Park, S., Yoo, K., & Kim, S. (2024). Communications Biology, 7(1), 1117.

  • Effectiveness of Personalized Hippocampal Network–Targeted Stimulation in Alzheimer Disease

    Jung, Y.H., Jang, H., Park, S., Kim, H. J., Seo, S. W., Kim, G. B., ..., Kim, S., & Na, D. L. (2024). JAMA Network Open, 7(5), e249220-e249220.

  • Corticostriatal activity related to performance during continuous de novo motor learning

    Park, S., Kim, J., & Kim, S. (2024) Scientific Reports, 14(1), 3731.

  • Cortico-hippocampal representational similarity contributes to learning of multiple motor sequences

    (Preprint) Yoon, S., & Kim, S. (2023). bioRxiv, 2023-08.

  • Development of a Parallel Robotic ositioning System With Specific Workspace for Noninvasive Brain Stimulation

    Ryu, W., Kim, J., Kim, S., Choi, Y. J., & Lee, S. (2021). IEEE/ASME Transactions on Mechatronics, 27(5), 2450-2461

  • Spatiotemporal dissociation of fMRI activity in the caudate nucleus underlies human de novo motor skill learning

    Choi, Y., Shin, E. Y., & ​Kim, S.​ (2020). ​Proceedings of the National Academy of Sciences, 117​(38), 23886-23897.

  • Bidirectional competitive interactions between motor memory and declarative memory during interleaved learning

    Kim, S. (2020). Scientific reports, 10(1), 1-12.
  • Large-scale network interactions supporting item-context associative memory formation

    Kim, S., & Voss, J. L. (2019). PloS one, 14(1), e0210167.
  • Selective and coherent activity increases due to stimulation indicate functional distinctions between episodic memory networks

    Kim, S., Nilakantan, A. S., Hermiller, M. S., Palumbo, R. T., VanHaerents, S., & Voss, J. L. (2018). Science Advances, 4(8), eaar2768.
  • A computational model that predicts behavioral sensitivity to intracortical microstimulation

    Kim, S., Callier, T., & Bensmaia, S. J. (2016). Journal of neural engineering, 14(1), 016012.