Linxing Preston Jiang

Ph.D. student at Neural Systems Lab

CSE 374, Paul G. Allen Center

University of Washington

Seattle, WA 98195

My name is Linxing (Preston) Jiang (姜麟星, jiāng línxīng). I’m a third-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 predictive coding based generative approaches to investigate neural representations of task structure. I also collaborate with Nick Steinmetz on analyzing Neuropixel data for verifying predictive coding. 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 and Center for Neurotechnology at UW CSE. Please feel free to reach out if you are interested in joining the lab for research opportunities!

News

May 9, 2023 I’m honored to receive the Computational Modeling Prize in Perception/Action at CogSci 2023! You can view the paper here.
Dec 18, 2022 Updated manuscript posted on BioRxiv! Dynamic Predictive Coding: A New Model of Hierarchical Sequence Learning and Prediction in the Cortex
Oct 5, 2022 Two abstracts accepted at SfN 2022:
  • Dynamic and Active Predictive Coding: New Approaches to Understanding Cortical Functions
  • Stimulus-specific Omission Responses in Mouse Primary Visual Cortex
See you in San Diego!

Selected publications

  1. NeurIPS
    Expressive probabilistic sampling in recurrent neural networks
    Chen, Shirui, Jiang, Linxing Preston, Rao, Rajesh P. N., and Shea-Brown, Eric
    In Advances in Neural Information Processing Systems 2023
  2. CogSci Best paper award
    Dynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion Perception
    Jiang, Linxing Preston, and Rao, Rajesh P. N.
    In Proceedings of the 45th Annual Conference of the Cognitive Science Society 2023
  3. JNE
    Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping
    Bryan, Matthew, Jiang, Linxing Preston, and Rao, Rajesh P. N.
    Journal of Neural Engineering 2023
  4. bioRxiv
    Dynamic Predictive Coding: A New Model of Hierarchical Sequence Learning and Prediction in the Cortex
    Jiang, Linxing Preston, and Rao, Rajesh P. N.
    bioRxiv 2022