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I am interested in how various building blocks of neural systems work together, broadly speaking. The main focus of my research is uncovering how biophysical mechanisms in neurons and neural networks impact their functions. A neural system typically has a vast repertoire of physiological mechanisms interacting with each other. Such complexity somehow enables the whole system to function in a specific "operating mode" that performs certain information processing. This phenomenon raises many questions, such as how we can characterize operating modes of neural systems, how we can find which cellular mechanisms are responsible, etc. To investigate these, I extensively use computational modeling. This powerful tool allows us to explore systems often far beyond the regime accessible to available experiments and efficiently generate experimentally testable hypotheses. However, building a model based on experimental data is rarely a simple task, and ideas from statistical learning theory have proven useful for overcoming difficulties in model building.
I am interested in how various building blocks of neural systems work together, broadly speaking. The main focus of my research is uncovering how biophysical mechanisms in neurons and neural networks impact their functions. A neural system typically has a vast repertoire of physiological mechanisms interacting with each other. Such complexity somehow enables the whole system to function in a specific "operating mode" that performs certain information processing. This phenomenon raises many questions, such as how we can characterize operating modes of neural systems, how we can find which cellular mechanisms are responsible, etc. To investigate these, I extensively use computational modeling. This powerful tool allows us to explore systems often far beyond the regime accessible to available experiments and efficiently generate experimentally testable hypotheses. However, building a model based on experimental data is rarely a simple task, and ideas from statistical learning theory have proven useful for overcoming difficulties in model building.
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Mi-Yeon Kim,Mi Jeong Kim, Changyeob Lee, Juwon Lee,Sang Seong Kim,Sungho Hong,Hyoung Tae Kim,Jinsoo Seo,Ki-Jun Yoon,Sungho Han
Experimental & molecular medicineno. 10 (2023): 2177-2189
Jihwan Myung,Jihwan Myung,Jihwan Myung,Sungho Hong,Christoph Schmal, Hélène Vitet, Hélène Vitet, Hélène Vitet,Mei-Yi Wu,Mei-Yi Wu,Mei-Yi Wu,Mei-Yi Wu
Frontiers in Neuroscience (2023): 1242800
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International journal of molecular sciencesno. 18 (2023): 14064-14064
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