Software

KIAP BCI: a BCI framework for intracortical signals

Ioannis Vlachos¹, Alessandro Tonin², Arnau Espinosa¹, Majid Khalili-Ardali³, Jonas B Zimmermann¹

¹Wyss Center for Bio and Neuroengineering
²Wyss Center for Bio and Neuroengineering; Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany
³Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany

DOI: 10.12751/g-node.ihc6qn BROWSE REPOSITORY BROWSE ARCHIVE DOWNLOAD ARCHIVE (ZIP 9.1 MiB)

Published 27 Oct. 2021 | License BSD-3-Clause

Description

KIAP BCI is a BCI framework mainly written in Python that receives electrophysiological data from Utah arrays and controls an auditory speller.

Keywords

References

Ujwal Chaudhary, Ioannis Vlachos, Jonas B Zimmermann, Arnau Espinosa, Alessandro Tonin, Andres Jaramillo-Gonzalez, Majid Khalili-Ardali, Helge Topka, Jens Lehmberg, Gerhard M Friehs, Alain Woodtli, John P Donoghue, Niels Birbaumer: Verbal Communication using Intracortical Signals in a Completely Locked In-Patient. medRxiv 2020.06.10.20122408 https://doi.org/10.1101/2020.06.10.20122408

Funding

Wyss Center for Bio and Neuroengineering

Citation

Vlachos I, Tonin A, Espinosa A, Khalili-Ardali M, Zimmermann JB (2021) KIAP BCI: a BCI framework for intracortical signals. G-Node. https://doi.org/10.12751/g-node.ihc6qn