CSE 374, Paul G. Allen Center
University of Washington
My name is Linxing (Preston) Jiang (姜麟星, jiāng línxīng). I’m a fourth-year PhD student in Computer Science at the University of Washington. My advisor is Rajesh Rao. I received my BS and MS degree in computer science, both from the University of Washington. I’m from Harbin, China.
I’m interested in developing theories in neuroscience from the principles of Bayesian inference and generative models. Currently, I’m focusing on Bayesian approaches to investigate neural representations of motor learning and task structure. My ultimate goal is to provide functional explanations for various brain functions such as perception, decision making, and memory through the lens of internal (generative) model building.
I’m a member of the Neural Systems Lab at UW CSE. Please feel free to reach out if you are interested in joining the lab for research opportunities!
|Jan 3, 2024
|I am organizing a seminar on transformers in theoretical neuroscience for Winter 2024.
|May 9, 2023
|I’m honored to receive the Computational Modeling Prize in Perception/Action at CogSci 2023! You can view the paper here.
- PLOS CBDynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortexPLOS Computational Biology 2024
- NeurIPSExpressive probabilistic sampling in recurrent neural networksIn Advances in Neural Information Processing Systems 2023
- CogSci Best paper awardDynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion PerceptionIn Proceedings of the 45th Annual Conference of the Cognitive Science Society 2023