Undergraduate Institution and Major:
Handong University, BS, Biomedical Science, 2012
Seoul National University, MS, Brain and Cognitive Sciences, 2015
Ben Hayden, Ph.D., Department of Neuroscience
Emerging technology for large-scale recording is opening up a new era in neuroscience by widening the scope of analysis. Accordingly, the right level of experimental complexity is questioned (Gao and Ganguli, 2015). One potential direction to resolve these concerns is to develop a naturalistic and interactive experiment to increase task complexity and a corresponding computational model to guide neural analysis (Yoo et al., biorxiv; Iqbal et al., 2018). My interest in the Hayden laboratory is to design a novel naturalistic experiment and computational model, establishing a large-scale recording system and analyzing neural activity acquired from a large-scale array.
Graduate Level Publications:
- Yoo SB, Piantadosi S, Hayden BY. Monkeys predict trajectories of virtual prey using basic physics variables. BioxRiv. doi: https://doi.org/10.1101/272260
- Cash-Padget T, Azab A, Yoo SB, Hayden BY. Opposing pupil responses to offered and anticipated reward values. Anim Cogn. 2018 Sep;21(5):671-684.
- Yoo SB, Hayden BY. Economic decision as untangling from option to actions. Neuron. 2018 Aug 8;99(3):434-447.
- Yoo SB, Sleezer B, Hayden BY. Robust encoding of spatial information in orbitofrontal cortex and striatum. J Cogn Neurosci. 2018 Jun;30(6):898-913.
Post Bac Research:
I worked in the William Rymer lab at Northwestern University. I examined the alteration of muscle synergies in chronic stroke patients. For my master thesis, I established a Bayesian inference model for phoneme perception in human in psychophysics experiments.
What Got You Interested in Research?
To explore how the brain operates requires interdisciplinary knowledge including psychology, neural networks, statistics, and math. I was attracted by the fact that I can explore those by studying just one system, which is the brain. Furthermore, I got deeply interested in systems neuroscience since recognizing the field has been continuously trying to focus more on finding canonical computation and universal rules amongst various system including animal flocks and social systems of the human.