News

ACh-modulated predecessor feature learning enables post-reward exploration

Our paper, “Eligibility-trace–gated depression in predecessor feature learning enables post-reward exploration,” has been published.

In this study, we propose an acetylcholine (ACh)-modulated predecessor feature learning model and investigate how it can support flexible exploration even after reward acquisition.

Jun 5, 2026 1 min read News
Noise Resilience of Successor and Predecessor Feature Algorithms in One- and Two-Dimensional Environments has been published.

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.

Feb 7, 2025 1 min read News
Our Latest Research on Transfer Learning in Noisy Environments Published!
Investigating Transfer Learning in Noisy Environments: A Study of Predecessor and Successor Features in Spatial Learning Using a T-Maze https://mdpi.com/2983828
Oct 4, 2024 2 min read News, Research
SungSu Oh has joined our lab!

He plans to enroll in the first semester of 2024 and study medical artificial intelligence and predictive model development using machine learning and deep learning.

Feb 5, 2024 1 min read News
Deokhyeon Yoon has joined our lab!!

He is going to dig into drug discovery using machine learning.

Dec 10, 2023 1 min read News
Zulip Cloud Standard plan sponsorship approved.

We are pleased to announce that Zulip Cloud Standard plan sponsorship has been approved.

Zulip is a messaging app for work and collaboration like Slack, Teamchat.  It is maintained as an open-source project.

Dec 7, 2023 1 min read News