Important! on 30 July 2021 several corrupted files were fixed in the data repository. On 25 Novembrer 2021, EEG data for participants 9 and 10 were also fixed in the repository.
In the following repository all codes for reproduce and use the Inner speech Dataset are presented.
The dataset is publicy available at https://openneuro.org/datasets/ds003626
The publication is available at https://www.nature.com/articles/s41597-022-01147-2
The stimulation protocol was used for capturing the data, and was developed in Matlab using Psychtoolbox.
The script Stimulation_protocol.m is the main script and uses the other auxiliary functions.
The processing was developed in Python, using mainly the MNE library.
Create an environment with all the necessary libraries for running all the scripts.
conda env create -f environment.yml
Using the Inner_speech_processing.py script, you can easily make your own processing, changing the variables at the top of the script.
The TFR_representation.py generates the Time Frequency Representations used addressing the same processing followed in the paper.
By means of the Plot_TFR_Topomap.py the same images presented in the paper can be addressed.
Please cite this work.
@article{nieto2022thinking,
title={Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition},
author={Nieto, Nicol{\'a}s and Peterson, Victoria and Rufiner, Hugo Leonardo and Kamienkowski, Juan Esteban and Spies, Ruben},
journal={Scientific Data},
volume={9},
number={1},
pages={1--17},
year={2022},
publisher={Nature Publishing Group}
}