EEG-BCI Dataset for "Continuous Tracking using Deep Learning-based Decoding for Non-invasive Brain-Computer Interface"

This EEG Brain Computer Interface (BCI) dataset was collected as part of the study titled: “Continuous Tracking using Deep Learning-based Decoding for Non-invasive Brain-Computer Interface”. If you use a part of this dataset in your work, please cite the following publication:

D. Forenzo, H. Zhu, J. Shanahan, J. Lim, and B. He, “Continuous tracking using deep learning-based decoding for noninvasive brain–computer interface,” PNAS Nexus, vol. 3, no. 4, p. pgae145, Apr. 2024, doi: 10.1093/pnasnexus/pgae145.

This dataset was collected under support from the National Institutes of Health via grants AT009263, NS096761, NS127849, EB029354, NS124564, and NS131069 to Dr. Bin He.

Correspondence about the dataset: Dr. Bin He, Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, PA 15213. E-mail: bhe1@andrew.cmu.edu