Linxing Preston Jiang

👋 Hi!

My name is Linxing (Preston) Jiang (姜麟星, jiāng línxīng). I’m a fifth-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.

🧠 Research interest

My main research interest is computational neuroscience. I am currently working on (1) predictive coding theories for perception and decision making, and (2) large-scale neural data pretraining. My ultimate goal is to provide functional explanations for brain circuits through theories, and to leverage modern machine learning systems for large-data-driven validation of these theories.

news

May 15, 2025	New preprint Data Heterogeneity Limits the Scaling Effect of Pretraining Neural Data Transformers is up on bioRxiv.
Dec 09, 2024	I finished my Research Scientist internship at Meta Reality Labs on neuromotor interfaces.

selected publications

bioRxiv

Data Heterogeneity Limits the Scaling Effect of Pretraining Neural Data Transformers

Linxing Preston Jiang, Shirui Chen, Emmanuel Tanumihardja, and 4 more authors

bioRxiv, May 2025

DOI Bib HTML

@article{jiang2025pretrain,
  doi = {10.1101/2025.05.12.653551},
  author = {Jiang, Linxing Preston and Chen, Shirui and Tanumihardja, Emmanuel and Han, Xiaochuang and Shi, Weijia and Shea-Brown, Eric and Rao, Rajesh P. N.},
  journal = {bioRxiv},
  title = {Data Heterogeneity Limits the Scaling Effect of Pretraining Neural Data Transformers},
  year = {2025},
  month = may,
  volume = {20},
}

PLOS CB

Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex

Linxing Preston Jiang, and Rajesh P. N. Rao

PLOS Computational Biology, Feb 2024

DOI Bib HTML

@article{jiang2024dpc,
  doi = {10.1371/journal.pcbi.1011801},
  author = {Jiang, Linxing Preston and Rao, Rajesh P. N.},
  journal = {PLOS Computational Biology},
  publisher = {Public Library of Science},
  title = {Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex},
  year = {2024},
  month = feb,
  volume = {20},
  pages = {1-30}
}