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

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

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

Bib HTML
@inproceedings{chen2023rnn, abbr = {NeurIPS}, bibtex_show = {true}, title = {Expressive probabilistic sampling in recurrent neural networks}, booktitle = {Advances in Neural Information Processing Systems}, author = {Chen, Shirui and Jiang, Linxing Preston and Rao, Rajesh P. N. and Shea-Brown, Eric}, year = {2023}, selected = {true}, html = {https://openreview.net/forum?id=ch1buUOGa3&referrer=%5Bthe%20profile%20of%20Linxing%20Preston%20Jiang%5D(%2Fprofile%3Fid%3D~Linxing_Preston_Jiang1)} }

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

Bib PDF

@inproceedings{jiang2023postdiction,
  abbr = {CogSci},
  bibtex_show = {true},
  title = {Dynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion Perception},
  booktitle = {Proceedings of the 45th Annual Conference of the Cognitive Science Society},
  author = {Jiang, Linxing Preston and Rao, Rajesh P. N.},
  year = {2023},
  selected = {true},
  award = {Best paper award},
  pdf = {dynamicpredictive_with_cite.pdf}
}

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

Bib HTML

@article{bryan2023ncp,
  abbr = {JNE},
  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 P. N.},
  journal = {Journal of Neural Engineering},
  year = {2023},
  html = {https://iopscience.iop.org/article/10.1088/1741-2552/accaa9}
}

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

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 P. N.},
  journal = {bioRxiv},
  year = {2022},
  publisher = {Cold Spring Harbor Laboratory},
  html = {https://www.biorxiv.org/content/10.1101/2022.06.23.497415v1}
}