Inner Speech Dataset

Important! on 30 July 2021 several corrupted files were fixed in the data repository.

In the following repository all codes for reproduce and use the Inner speech Dataset are presented.

The dataset are publicy available at https://openneuro.org/datasets/ds003626

The preprint of the publicatin are available at https://www.biorxiv.org/content/10.1101/2021.04.19.440473v1

Stimulation Protocol

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.

Processing

The processing was developed in Python, using mainly the MNE library.

Install the Inner speech processing environment

For creating an environment with all the necessary libraries for running all the scripts executed.

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.

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.

Citing this work

Please cite this work.

@article{nieto2021thinking,
  title={" Thinking out loud": an open-access EEG-based BCI dataset for inner speech recognition},
  author={Nieto, Nicolas and Peterson, Victoria and Rufiner, Hugo Leonardo and Kamienkowski, Juan and Spies, Ruben},
  journal={bioRxiv},
  year={2021},
  publisher={Cold Spring Harbor Laboratory}
}