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  • Sungshin Kim
  • Research Professor
  • Neuroimaging (fMRI) and computational models of motor learning & memory
  • 031-299-4490
  • sskim0905skku.edu
  • http://clmnlab.com
  • Neuroimaging

CVDetail

  • Information
  • Computational Learning & Memory Neuroscience Lab



    Introduction 


    Research interests of our lab include understanding of cognitive and neural mechanisms underlying motor learning & memory, 

    neuromodulaton ofmemory systems and development of efficient learning and rehabilitation protocols. 

    We take a combined research approach of computational modeling, psychophysical experiments, neuroimaging, and neuromodulation.


    (1) The first specific object is to investigate fundamentals of distinct memory systems related with motor learning, 

    not only procedural memory but declarative memory, which cooperatively or competitively interact as the course of acquiring new motor skills.

     

    (2) The second specific objective is to modulate human memory systems using noninvasive stimulation such as transcranial magnetic stimulation (TMS). 


    (3) The third specific objective s to develop more efficient learning protocols, potentially applicable to rehabilitation of patients with stroke and

    Parkinson’s disease.For this translational research, we are collaborating with clinicians in Bundang Seoul National Hospital and Samsung Medical Center. 


    Our laboratory is part of the center for neuroscience imaging research in the Institute of Basic Sciences (IBS) funded by
    the Korean government.


     


    Selected publication


    1. Kim S§, Nilakantan AS§, Hermiller MS, Palumbo R, Raij TA, VanHaerents SA, Voss JL*. Selective and coherent activity increases 

    due to stimulation indicate functional distinctions between episodic memory networks. Science Advances, Vol. 4, Issue 8, 2018 

    (§co-first author) 


    2. Kim S, Callier T, Bensmaia SJ*. A computational model that predicts behavioral sensitivity to intracortical microstimulation. 

    Journal of Neural Engineering, Vol. 14, Issue 1, 2013 


    3. Kim S§, Ogawa K§, Lv J, Schweighofer N*, Imamizu H. Neural substrates related to motor memory with multiple time scales in 

    sensorimotor adaptation. PLoS Biology, Vol. 13, Issue 12, 2015 (§cof-irst author)


    4. Kim SCallier T, Tabot GA, Gaunt RA, Tenore FV, Bensmaia SJ*. Behavioral assessment of sensitivity to intracortical microstimulation 

    of primate somatosensory cortex. Proceedings of National Academy of Sciences U. S. A., Vol. 112, Issue 49, 2015


    5. Kim S*, Y. Oh, N. Schweighofer. Between trial forgetting due to interference and time in motor adaptation. 

    PLoS One, Vol. 10, Issue 11, 2015 


    6. Kim S, Callier T, Tabot GA, Tenore FV, Bensmaia SJ*. Sensitivity to microstimulation of somatosensory cortex delivered 

    simultaneously through multiple electrodes. Frontiers of Systems Neuroscience, 9:47, 2015

  • Junsuk Kim
  • Research Professor
  • Tactile sensation, Multisensory perception, Cognitive neuroscience, Human fMRI
  • 031-299-6722
  • junsuk.kimskku.edu
  • http://www.sn-lab.net

Detail

  • Information
  • Sensorimotor Neuroscience Lab

     

    [Introduction]

     

    "The nervous system and the automatic machine are fundamentally alike in that they are devices, which make decisions on the basis of decisions they made in the past."

    - Norbert Wiener  (Mathematician and philosopher, 1894-1964)

    SN lab conducts researches on how the neural activities in the human brain are related to psychological processes so-called 'brain functions'. The scientific goal of our lab is to improve the current understanding of fundamental perceptual and cognitive processes through the combination of state-of-the-art technology from pattern recognition, neuroimaging, and rapid prototyping with rigorous psychophysical experiments.


     

    [Selected Recent Publications]

     

    1.     Junsuk Kim, Isabelle Bülthoff, Sung-Phil Kim*, and Heinrich H. Bülthoff* (2019). "Shared Neural Representations of Tactile Roughness Intensities by Somatosensation and Touch Observation Using an Associative Learning Method," Scientific Reports, Vol. 9, No. 1, Article number 77.

    2.     Junsuk Kim*, Isabelle Bülthoff, and Heinrich H. Bülthoff (2018). "Decoding Visual Roughness Perception: an fMRI Study," Somatosensory & Motor Research, Vol. 35, No. 3-4, pp. 212-217.

    3.     Junsuk Kim, Jiwon Yeon, Jae Kyun Ryu, Jang-Yeon Park, Soon-Cheol Chung and Sung-Phil Kim* (2017). "Neural Activity Patterns in the Human brain Reflect Tactile Stickiness Perception," Frontiers in Human Neuroscience, Vol. 11, No. 445, pp. 1-12. 

    4.     Junsuk Kim, Yoon Gi Chung, Soon-Cheol Chung, Heinrich H. Bülthoff*, and Sung-Phil Kim* (2016). “Neural Categorization of Vibrotactile Frequency in Flutter and Vibration Stimulations: an fMRI Study," IEEE Transactions on Haptics, Vol. 9, No. 4, pp. 455-464.

    5.     Junsuk Kim, Johannes Schultz, Tim Rohe, Christian Wallraven, Seong-Whan Lee, and Heinrich H. Bülthoff* (2015). “Abstract Representations of Associated Emotions in the Human Brain,” Journal of Neuroscience, Vol. 35, No. 14, pp. 5655-5663.

     

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