Dr. Lee is interested in how the brain remembers episodic events (involving objects and places) and use it for adaptive behavior. Animal models are used with memory tasks to uncover the functional relationships between hippocampal memory systems and cognitive functions. Drug injections and neurotoxic lesions are used in addition to electrophysiological techniques in freely moving animals in VR environments.
Dr. Kwag received her BA in Mathematics from University of Oxford, after which she pursued research degrees in neuroscience by receiving MSc in Neuroscience and DPhil in Physiology from University of Oxford as a Clarendon Scholar. She was a faculty member at the Department of Brain and Cognitive Engineering, Korea University from 2010 before joining BCS in 2022. She uses interdisciplinary approaches including in vitro electrophysiology, in vivo calcium imaging and in silico computational neural network modeling to elucidate how the complex neural circuits of the brain perform efficient neural computation and memory processing. Recent research interests are neural circuit mechanisms of memory with Alzheimer’s disease therapeutics applications and neuroscience-inspired computational models of memory/sensory perception for AI applications.
Dr. Kwon is an expert in pathophysiology in the neuropsychiatric disorders such as schizophrenia and obsessive-compulsive disorder. He has published extensively in journals such as JAMA Psychiatry and Biological Psychiatry with a total impact factor score exceeding 180 over the last three years. He served as a counselor for Collegium Internationale Neuro-Psychopharmacologicum (CINP), a first for Korea (2008~2012)
Dr. Kim is an expert in geropsychiatry. He founded and led the National Institute of Dementia for 8 years. His research interests are pathophysiology, diagnosis and intervention of cognitive disorders (dementia and mild cognitive impairment) and late-life depression. He has been leading the Korean Longitudinal Study on Cognitive Aging and Dementia (KLOSCAD), and published more than 300 papers in peer-reviewed journals including Lancet, Alzheimers & Dementia, Annals of Neurology and Biological Psychiatry.
Dr. Kim received his PhD with a focus on the measurement of antipsychotic drug effect on the brain by using PET imaging. He completed the research fellowship program in King’s College London and Imperial College London. His scientific focus has been advancing the prevention of developing psychosis in high-risk for psychosis and the treatment of patients with schizophrenia. Currently, he is working on antipsychotic effect on the neurotransmission in the brain.
Dr. Lee received her B.S. in astronomy from Caltech and Ph.D. from Harvard Univ. in cognitive development. She did her postdoctoral training in neuroscience at the Center for Mind/Brain Sciences in Trento, Italy, where she worked as a faculty member before coming to Korea. Her research interests concern the neurocognitive foundations of event memory and symbolic representation, and how they change over the course of the lifespan and in neurological disorders.
Dr. Lee’s laboratory combines fMRI, computational modeling, and psychophysics to address how sensory and non-sensory information flows in the human brain for decisive resolution of perceptual choices under an environment with high degree of uncertainty. Recent publications involve computational neuroimaging studies of cortical point spread functions, choice probability, motion adaptation and time perception in the human visual cortex.
How the mind works is a question that has captivated philosophers and scientists alike over millenia. Dr. Lee aims to contribute to our knowledge of the neural mechanisms of learning and memory by investigating its fundamental aspects at the cellular level, utilizing ex vivo electrophysiology combined with calcium imaging, computational models, behavioral study, optogenetics, and others.
The missions of the Computational Clinical Science (CCS) Lab directed by Dr. Ahn are to (1) elucidate the neurocognitive mechanisms of decision-making using computational approaches and (2) develop transdiagnostic phenotypes and cost-effective markers of psychiatric disorders, especially addictive disorders. To accomplish the missions, we use decision neuroscience as a framework to understand both normative and abnormal behavior, computational modeling to delineate the cognitive processes responsible for decision-making deficits, neuroimaging (e.g., fMRI) methods to probe their neural substrates, and cutting-edge machine learning algorithms to maximize prediction accuracy and generalizability.
In SNU Connectome Lab, we are interested in the following areas of research: 1. Human connectomes : "How does the human brain connectome lead to the complex traits of cognition, emotion, and behavior in normal and diseases?" 2. Development and aging of human connectomes: "What are the gene-environmental relationships shaping one's brain and mind in children and elders?" 3. Data-driven human neuroscience. With the ultimate goal of the early prediction of cognitive and behavioral alterations, SNU Connectome Lab pursues data-driven science using large-scale, multimodal brain imaging and related data, such as genome data, and high performance data analytics.
Dr. Ho’s research aims to understand the ion channel mechanisms by which cellular functions are regulated. She used various types of excitable cells, including cardiac myocytes, neurons, and endocrine cells, to unravel the cell specific mechanism of ion channel regulation. Currently, she focus on studying neuronal ion channels, with a particular interest in their subcellular localization, and discovers novel mechanisms by which somatic K+ channels control firing frequency, dendritic K+ channels control EPSC to spike coupling, and presynaptic K+ channels control neurotransmitter release.
Dr. Chung is an internationally acknowledged neurosurgeon and neuroscientist. He investigates human brain function with its changes in neurological diseases using various imaging and recording techniques (eg, MRI, fMRI, EEG, ECoG, single cell recording) and neuromodulation tools (eg, TMS, DBS). Research topics include memory, pain, music, sensory-motor, consciousness and brain-machine interface.