@article{jiang2025neurips,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={Foundation Models for the Brain and Body NeurIPS 2025 Workshop},title={Not All Sessions Are Equal: Data Selection for Multi-Session Pretraining in Neural Data Transformers},year={2025},month=dec,}
COLM Workshop
Data Heterogeneity Limits the Scaling Effect of Pretraining in Neural Data Transformers
Linxing Preston Jiang, Shirui Chen, Emmanuel Tanumihardja, and 4 more authors
Conference on Language Modeling (COLM) Workshop on Large Language Modeling for Scientific Discovery (LM4Sci), Oct 2025
@article{jiang2025pretrain,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={Conference on Language Modeling (COLM) Workshop on Large Language Modeling for Scientific Discovery (LM4Sci)},title={Data Heterogeneity Limits the Scaling Effect of Pretraining in Neural Data Transformers},year={2025},month=oct,}
2024
PLOS CB
Dynamic predictive coding: A model of hierarchical sequence learning and prediction in the neocortex
@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}}
2023
NeurIPS
Expressive probabilistic sampling in recurrent neural networks
Shirui Chen, Linxing Preston Jiang, Rajesh P. N. Rao, and 1 more author
In Advances in Neural Information Processing Systems, 2023
@inproceedings{chen2023rnn,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},}
CogSci
Dynamic Predictive Coding Explains Both Prediction and Postdiction in Visual Motion Perception
Linxing Preston Jiang and Rajesh P. N. Rao
In Proceedings of the 45th Annual Conference of the Cognitive Science Society, 2023
@inproceedings{jiang2023postdiction,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},}
JNE
Neural Co-Processors for Restoring Brain Function: Results from a Cortical Model of Grasping
Matthew Bryan, Linxing Preston Jiang, and Rajesh P. N. Rao
@article{bryan2023ncp,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},}
2022
ORE Neuro
Predictive Coding Theories of Cortical Function
Linxing Preston Jiang and Rajesh P. N. Rao
Oxford Research Encyclopedia of Neuroscience, 2022
@article{jiang2022review,title={Predictive Coding Theories of Cortical Function},author={Jiang, Linxing Preston and Rao, Rajesh P. N.},journal={Oxford Research Encyclopedia of Neuroscience},year={2022},publisher={Oxford University Press},}
CVPR Workshop
Learning Hierarchical Temporal Representations via Dynamic Predictive Coding
Linxing Preston Jiang and Rajesh P. N. Rao
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) NeuroVision Workshop, 2022
@inproceedings{jiang2021cosyne,title={Dynamic Predictive Coding with Hypernetworks},booktitle={Computational and Systems Neuroscience Meeting (Cosyne)},author={Jiang, Linxing Preston and Gklezakos, Dimitrios C and Rao, Rajesh P. N.},year={2021},}
arXiv
Improved Training of Sparse Coding Variational Autoencoder via Weight Normalization
@article{jiang2021improved,title={Improved Training of Sparse Coding Variational Autoencoder via Weight Normalization},author={Jiang, Linxing Preston and de la Iglesia, Luciano},journal={arXiv preprint arXiv:2101.09453},year={2021},}
2020
IEEE EMBC
Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings
Samantha Sun, Linxing Preston Jiang, Steven M Peterson, and 5 more authors
In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
@inproceedings{sun2020unsupervised,title={Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings},author={Sun, Samantha and Jiang, Linxing Preston and Peterson, Steven M and Herron, Jeffrey and Weaver, Kurt and Ko, Andrew and Ojemann, Jeffrey and Rao, Rajesh P. N.},booktitle={2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},pages={629--632},year={2020},organization={IEEE},}
2019
CogSci
Comparing Alternative Computational Models of the Stroop Task Using Effective Connectivity Analysis of fMRI Data
Micah Ketola, Linxing Preston Jiang, and Andrea Stocco
In Proceedings of the 41st Annual Conference of the Cognitive Science Society, 2019
@inproceedings{ketola2019comparing,title={Comparing Alternative Computational Models of the Stroop Task Using Effective Connectivity Analysis of fMRI Data},booktitle={Proceedings of the 41st Annual Conference of the Cognitive Science Society},pages={553--559},author={Ketola, Micah and Jiang, Linxing Preston and Stocco, Andrea},year={2019},}
SciRep
BrainNet: a multi-person brain-to-brain interface for direct collaboration between brains
Linxing Preston Jiang, Andrea Stocco, Darby M Losey, and 3 more authors
@article{jiang2019brainnet,title={BrainNet: a multi-person brain-to-brain interface for direct collaboration between brains},author={Jiang, Linxing Preston and Stocco, Andrea and Losey, Darby M and Abernethy, Justin A and Prat, Chantel S and Rao, Rajesh P. N.},journal={Scientific reports},volume={9},number={1},pages={1--11},year={2019},publisher={Nature Publishing Group},}