Jungsun Yoo

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Hi, I’m Jungsun!

I am a PhD candidate in the Department of Cognitive Sciences at the University of California, Irvine. I am advised by Aaron Bornstein in the Computational Cognitive Neuroscience Lab. My research focuses on understanding how people learn and use various kinds of representations to plan, as well as how variable experience shapes our internal representation of the world. In Fall 2025, I will be joining Princeton Neuroscience Institute as a Postdoctoral Research Associate.

Outside of lab, I play violin and viola. I perform in orchestra concerts from time to time and lead an amateur chamber orchestra.

CV | Google Scholar | X | ORCID

Research Interests

Papers

Preprint

Yoo J, Bornstein AM. Temporal dynamics of model-based control reveal arbitration between multiple task representations.

Publications

Yoo J, Chrastil RE, Bornstein AM (2024). Cognitive graphs: Representational substrates for planning. Decision.

Yoo J, Zhou D, Bornstein AM (2024). Latent cause inference as an efficient and flexible learning rule for cognitive graphs. Cognitive Computational Neuroscience.

Schultz H, Yoo J, Meshi D, Heekeren HR (2022). Category-specific memory encoding in the medial temporal lobe and beyond: The role of reward. Learning and Memory 29 (10), 379-389.

Yoo J, Bornstein AM (2022). Two-stage task with increased state space complexity to assess online planning. Proceedings of the 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022).

Yoo J, Jun T, Kim Y (2021). xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias. Computer Methods and Programs in Biomedicine, 208, 106281.

Yoo J, Min S, Lee S, Han S (2021). Neural correlates of episodic memory modulated by temporally delayed rewards. PLoS ONE 16(4): e0249290.

Honors and awards

Organizing

General writing

Performance