NeuroAI Lab
Neuro-Artificial Intelligence Laboratory, Department of Physiology, Pusan National University School of Medicine. We work at the intersection of neuroscience and artificial intelligence: biologically grounded reinforcement learning, computational models of the brain and its disorders, AI-driven drug discovery, and clinical decision support.
We are recruiting undergraduate interns and graduate students. See Join.
Research Themes
- AI-Accelerated Drug Discovery — generative models, virtual screening and physics-based simulation for novel therapeutics.
- Brain Data & Neuropsychiatry — interpretable machine learning on electrophysiology, in-silico epilepsy models, immune–neural crosstalk.
- AI-Driven Clinical Decision Support — adverse-event prediction, procedure optimisation, clinical language intelligence with LLMs.
- Hippocampus × Reinforcement Learning — the hippocampus as a Successor Representation agent.
Latest News
Lee H. Noise Resilience of Successor and Predecessor Feature Algorithms in One- and Two-Dimensional Environments. Sensors. 2025; 25(3):979. https://doi.org/10.3390/s25030979
We compared the ability of SF and PF, reinforcement learning algorithms associated with the hippocampus of the brain, to reliably navigate noisy environments.
Investigating Transfer Learning in Noisy Environments: A Study of Predecessor and Successor Features in Spatial Learning Using a T-Maze https://mdpi.com/2983828