Timothy Doyeon Kim

I am a PhD student at the Princeton Neuroscience Institute, broadly interested in computational neuroscience and machine learning. My current research explores computational methods that may help us understand how the collective dynamics of networks of neurons give rise to the capacity for working memory and evidence accumulation in rodents during perceptual decision-making. I am currently advised by Carlos Brody. I also collaborate with Jonathan Pillow. I completed my undergraduate studies at the University of Pennsylvania, where I worked with Josh Gold.

You can get in touch with me at tdkim@princeton.edu.

Princeton CSML recently wrote an article about me.

github / google scholar / orcid

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Publications & Preprints

Inferring latent dynamics underlying neural population activity via neural differential equations
Timothy Doyeon Kim, Thomas Zhihao Luo, Jonathan W. Pillow, Carlos D. Brody
Proceedings of the 38th International Conference on Machine Learning (ICML), 2021 (long talk)
paper / supp / bibtex

Coupled decision processes update and maintain saccadic prior in a dynamic environment
Timothy Doyeon Kim, Mohammad Kabir, Joshua I. Gold
Journal of Neuroscience, 2017
paper / bibtex
Abstracts

Inferring latent dynamics underlying neural population activity via neural differential equations
Timothy Doyeon Kim, Thomas Zhihao Luo, Jonathan W. Pillow, Carlos D. Brody
Computational and Systems Neuroscience (Cosyne), 2021

Effects of memory-dependent and -independent priors on response-time distributions from a simple sensory-motor task
Timothy Doyeon Kim, Christopher M. Glaze, Joshua I. Gold
Society for Neuroscience Annual Meeting, 2014

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