Sensorimotor Cognition Lab
Introduction
My lab is interested in how attention and cognition modulate sensory neural representation and transmission of the neural information to the downstream motor areas in the brain. I use in-vivo neurophysiological recording techniques, computational modeling, and sophisticated behavioral control for understanding neural codes in the cortical/subcortical regions using NHP as an animal model. The lab also pursues to address the same questions using brain imaging techniques, including EEG and fMRI, through collaboration with others in the center.
Selected Recent Publications
1. Joonyeol Lee and Stephen G. Lisberger, "Gamma synchrony predicts neuron–neuron correlations and correlations with motor behavior in extrastriate visual area MT", Journal of Neuroscience 33: 19677-19688, 2013.
2. Joonyeol Lee, Mati Joshua, Javier F. Medina, and Stephen G. Lisberger, "Signal, Noise, and Variation in Neural and Sensory-Motor Latency", Neuron 90: 1-2, 2016.
3. Jin Yang*, Joonyeol Lee*, and Stephen G. Lisberger, "The interaction of Bayesian priors and sensory data and its neural circuit implementation in visually guided movement", Journal of Neuroscience 32: 17632–17645, 2012 *Equal contribution.
4. Joonyeol Lee and John H. R. Maunsell, "Attentional modulation of MT neurons with single or multiple stimuli in their receptive fields", Journal of Neuroscience, 30: 3058-3066, 2010.
5. Joonyeol Lee and John H. R. Maunsell, "A normalization model of attentional modulation of single unit responses", PLoS ONE, 4(2): e4651, 2009.
Lab Name: Protein Design & Protein Materials Lab
Introduction
Our laboratory focuses on design and structural characterization of supramolecular protein assemblies that can be toward to make cellular and molecular therapies effective and practical approaches eventually to treat disease. Protein-based biomaterials designed by utilizing the tools of De Novo protein design (rational and computational designs) are used to study the mechanisms by which chemical or mechanical signals are sensed by cells and alter cell function. These biomaterials that interface with nanoscience are used to deliver drugs safely and efficiently; to prevent, detect, and treat disease; to assist the body as it heals; and to engineer functional tissues outside of the body for organ replacement. Our biomaterials are now designed rationally or computationally with controlled assembly structure and dynamic functionality to integrate with biological complexity and perform tailored, high-level functions in the body. Design of new biomaterials provides desirable cues in a variety of tissue engineering, immunotherapy and drug delivery to promote the regeneration or targeted destruction of tissues and organs in the body.
Selected Recent Publications
1. Yong Ho Kim, Jason E. Donald, Gevorg Grigoryan, George P. Leser , Alexander Y. Fadeev, Robert A. Lamb, and William F. DeGrado, “Capture and Imaging of the Pre-hairpin Intermediate in Viral Membrane Fusion of the Paramyxovirus PIV5”, Proceedings of the National Academy of Sciences 108: 20992-20997, 2011.
2. Gevorg Grigoryan*, Yong Ho Kim*, Rudresh Acharya, Kevin Axelrod, Rishabh M. Jain, Lauren Willis, Marija Drndic, James M. Kikkawa, and William F. DeGrado, “Computational Design of Virus-like Protein Assemblies on Carbon Nanotube Surfaces”, Science 332: 1071-1076, 2011 *- Authors contributed equally.
3. Ivan V. Korendovych, Yong Ho Kim, Andrew H. Ryan, James D. Lear, William F. DeGrado, and Scott J. Shandler, “Computational Design of a Self-Assembling β-Peptide Oligomer”, Organic Letters 12: 5142, 2010.
4. Ivan V. Korendovych, Alessandro Senes, Yong Ho Kim, James D. Lear, H. Christopher Fry, Michael J. Therien, J. Kent Blasie, F. Ann Walker, and William F. DeGrado, “De Novo Design and Molecular Assembly of a Transmembrane Diporphyrin-Binding Protein Complex”, Journal of the American Chemical Society 132: 15516, 2010.
Lab Name: Medical Image Processing Lab
Introdution
Our lab focuses on developing novel data processing algorithms for neuroimaging. We are particularly interested in image registration, segmentation, and feature extraction for various medical imaging modalities. Neuroimaging data contain millions of voxels and thus robust algorithmic considerations are required to properly explore such high-dimensional data. We are witnessing exponential growth in accumulated data with advances in neuroimaging technology. Thus, the role of data post-processing will be an integral part of advanced neuroimaging research. We also have following research interests; 1) data mining for neuroimaging, 2) medical image analysis for age modeling and neurological disease, 3) medical image analysis for cancer management.
Selected Recent Publications
1. B. Park and H.Park, “Connectivity differences between adult male and female patients with attention deficit hyperactivity disorder according to resting-state fMRI”, Neural Regeneration Research, 2015.
2. B. Park, J. Seo, J. Yi, and H.Park, “Structural and functional brain connectivity of people with obesity and prediction of body mass index using connectivity”, PLoS ONE 10(11): e0141376. doi:10.1371/journal.pone.0141376, 2015.
3. S.-J. Choi*, J.-H. Kim*, J. Seo, H.-S. Kim, J.-M. Lee, and H.Park, “Parametric Response Mapping of Dynamic CT for Predicting Intrahepatic Recurrence of Hepatocellular Carcinoma after Conventional Transcatheter Arterial Chemoembolization”, European Radiology 26(1): 225-234, 2016. (* equal contribution)
4. H.Park, D. Wood, H. Hussain, C. Meyer, R. Shah, T. Johnson, T. Chenevert, and M. Piert, “Introducing Parametric PET/MR Fusion Imaging of Primary Prostate Cancer”, Journal of Nuclear Medicine 53: 546-551, 2012.
5. H.Park, P. H. Bland, and C. R. Meyer, “Construction of an Abdominal Probabilistic Atlas and its application in Segmentation", IEEE Transactions on medical imaging, 22: 483-492, 2003.
Lab Name: Visual Cognitive Neuroscience Lab
Introduction
Visual Cognitive Neuroscience Lab @ SKKU is a research lab investigating psychological and brain processes involved in perception, memory and cognitive control by measuring eye movements and EEGs with solid psychophysics. Currently, we study dynamics of perceptual bistability, contextual memory retrieval, and motor inhibition.
Selected Recent Publications
1. Kang, M.-S., & Choi, J, "Retrieval-induced inhibition in short-term memory", Psychological Science, 26(7): 1014-1025, 2015.
2. Kang, M.-S., Hong, S. W., Blake, R., & Woodman, G.F, "Visual working memory contaminates perception", Psychonomic Bulletin & Review 18: 860-869, 2011.
3. Kang, M.-S., Blake, R., & Woodman, G.F, "Semantic analysis does not occur in the absence of awareness induced by interocular suppression", Journal of Neuroscience 31: 13535-13545, 2011.
4. Kang, M.-S., & Blake, R, "What causes alternations in dominance during binocular rivalry?"
, Attention, Perception & Psychophysics 72(1): 179-186, 2010.
5. Kang, M.-S., "Size matters: A study of the binocular rivalry dynamics", Journal of Vision 9(1): 17, 1-17, 2009.