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Continual Online Recalibration with Pseudo-labels (CORP)

This is the repo for paper Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication.

We provide code and data to reproduce the results in the paper.

Requirements

The code has been tested on CentOS 7 with Python 3.9 and Tensorflow 2.7.0. Running CORP requires a GPU with at least 12GB of memory, and at least 40GB of main memory.

Usage

  1. Install the following packages first:
  2. Download the data
  3. See the README in OnlineRecalibrator for how to run CORP.

Citation

@inproceedings{
    fan2023plugandplay,
    title={Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication},
    author={Chaofei Fan, Nick Hahn, Foram Kamdar, Donald Avansino, Guy H. Wilson, Leigh Hochberg, Krishna V. Shenoy, Jaimie M. Henderson, Francis R Willett},
    booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
    year={2023},
}