@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}}
@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
@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}}
CVPR Workshop
Best Poster Award
Learning Hierarchical Temporal Representations via Dynamic Predictive Coding
Jiang, Linxing Preston,
and Rao, Rajesh PN
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) NeuroVision Workshop
2022
@inproceedings{jiang2021cosyne,abbr={Cosyne},bibtex_show={true},title={Dynamic Predictive Coding with Hypernetworks},booktitle={Computational and Systems Neuroscience},author={Jiang, Linxing Preston and Gklezakos, Dimitrios C and Rao, Rajesh PN},year={2021},html={https://www.biorxiv.org/content/10.1101/2021.02.22.432194v2.abstract}}
arXiv
Improved Training of Sparse Coding Variational Autoencoder via Weight Normalization
@article{jiang2021improved,abbr={arXiv},bibtex_show={true},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},html={https://arxiv.org/abs/2101.09453}}
2020
IEEE EMBC
Oral
Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings
Sun, Samantha,
Jiang, Linxing Preston,
Peterson, Steven M,
Herron, Jeffrey,
Weaver, Kurt,
Ko, Andrew,
Ojemann, Jeffrey,
and Rao, Rajesh PN
In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2020
@inproceedings{sun2020unsupervised,abbr={IEEE EMBC},bibtex_show={true},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 PN},booktitle={2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},pages={629--632},year={2020},organization={IEEE},pdf={unsupervised_ecog_sleep_wake.pdf},award={Oral}}
2019
CogSci
Oral
Comparing Alternative Computational Models of the Stroop Task Using Effective Connectivity Analysis of fMRI Data
Ketola, Micah,
Jiang, Linxing Preston,
and Stocco, Andrea
In Proceedings of the 41th Annual Conference of the Cognitive Science Society
2019
@inproceedings{ketola2019comparing,abbr={CogSci},bibtex_show={true},title={Comparing Alternative Computational Models of the Stroop Task Using Effective Connectivity Analysis of fMRI Data},booktitle={Proceedings of the 41th Annual Conference of the Cognitive Science Society},pages={553--559},author={Ketola, Micah and Jiang, Linxing Preston and Stocco, Andrea},year={2019},pdf={act_r_verification.pdf},award={Oral}}
SciRep
BrainNet: a multi-person brain-to-brain interface for direct collaboration between brains
Jiang, Linxing Preston,
Stocco, Andrea,
Losey, Darby M,
Abernethy, Justin A,
Prat, Chantel S,
and Rao, Rajesh PN
@article{jiang2019brainnet,abbr={SciRep},bibtex_show={true},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 PN},journal={Scientific reports},volume={9},number={1},pages={1--11},year={2019},publisher={Nature Publishing Group},html={https://www.nature.com/articles/s41598-019-41895-7}}