publications

2024

1. 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}
   }

2023

1. 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, Feb 2023

   Bib HTML

   @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},
   }

2. CogSci Best paper

   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, Feb 2023

   Bib HTML

   @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},
   }

3. 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

   Journal of Neural Engineering, Feb 2023

   Bib HTML

   @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

1. ORE Neuro

   Predictive Coding Theories of Cortical Function

   Linxing Preston Jiang, and Rajesh P. N. Rao

   Oxford Research Encyclopedia of Neuroscience, Feb 2022

   Bib HTML

   @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},
   }

2. CVPR Workshop Best poster

   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, Feb 2022

   HTML

2021

1. Cosyne

   Dynamic Predictive Coding with Hypernetworks

   Linxing Preston Jiang, Dimitrios C Gklezakos, and Rajesh P. N. Rao

   In Computational and Systems Neuroscience Meeting (Cosyne), Feb 2021

   Bib HTML

   @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},
   }

2. arXiv

   Improved Training of Sparse Coding Variational Autoencoder via Weight Normalization

   Linxing Preston Jiang, and Luciano Iglesia

   arXiv preprint arXiv:2101.09453, Feb 2021

   Bib HTML

   @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

1. IEEE EMBC Oral

   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), Feb 2020

   Bib HTML

   @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

1. CogSci Oral

   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, Feb 2019

   Bib HTML

   @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},
   }

2. 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

   Scientific reports, Feb 2019

   Bib HTML

   @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},
   }