Linxing Preston Jiang

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

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!
Jun 20, 2022	I am honored to receive the Best Poster Award at the 2022 CVPR NeuroVision Workshop!

Selected publications

bioRxiv

Dynamic Predictive Coding: A New Model of Hierarchical Sequence Learning and Prediction in the Cortex

Jiang, Linxing Preston, and Rao, Rajesh PN

bioRxiv 2022

Bib HTML

@article{jiang2022dpc,
  abbr = {bioRxiv},
  bibtex_show = {true},
  selected = {true},
  title = {Dynamic Predictive Coding: A New Model of Hierarchical Sequence Learning and Prediction in the Cortex},
  author = {Jiang, Linxing Preston and Rao, Rajesh PN},
  journal = {bioRxiv},
  year = {2022},
  publisher = {Cold Spring Harbor Laboratory},
  html = {https://www.biorxiv.org/content/10.1101/2022.06.23.497415v1}
}

ORE of Neuro

Predictive Coding Theories of Cortical Function

Jiang, Linxing Preston, and Rao, Rajesh PN

Oxford Research Encyclopedia of Neuroscience 2022

Bib HTML

@article{jiang2022review,
  abbr = {ORE of Neuro},
  bibtex_show = {true},
  selected = {true},
  title = {Predictive Coding Theories of Cortical Function},
  author = {Jiang, Linxing Preston and Rao, Rajesh PN},
  journal = {Oxford Research Encyclopedia of Neuroscience},
  year = {2022},
  publisher = {Oxford University Press},
  html = {https://oxfordre.com/neuroscience/display/10.1093/acrefore/9780190264086.001.0001/acrefore-9780190264086-e-328}
}

arXiv

Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping

Bryan, Matthew, Jiang, Linxing Preston, and Rao, Rajesh PN

arXiv preprint arXiv:2210.11478 2022

Bib HTML

@article{bryan2022ncp,
  abbr = {arXiv},
  bibtex_show = {true},
  selected = {true},
  title = {Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping},
  author = {Bryan, Matthew and Jiang, Linxing Preston and Rao, Rajesh PN},
  journal = {arXiv preprint arXiv:2210.11478},
  year = {2022},
  html = {https://arxiv.org/abs/2210.11478}
}