Software used for running the neurofeedback and speller sessions, as published in "Spelling Interface using Introcortical Signals in a Completely Locked-In Patient enabled via Auditory Neurofeedback Training"

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KIAP BCI: a BCI framework for intracortical signals

Contributors: Ioannis Vlachos, Alessandro Tonin, Arnau Espinosa, Majid Khalili-Ardali, Jonas B. Zimmermann

This repository contains software used for running neurofeedback and speller sessions as employed in the KIAP single clinical case.

Kiap_bci is a Python package which relies on CereConn to provide a Python API to receive data from CereLink and the Blackrock NSP.

Kiap_bci was mainly developed by Ioannis Vlachos (Wyss Center)
CereConn was mainly developed by Jonas Zimmermann (Wyss Center)
CereLink is developed and maintained by Ehsan Azar (https://github.com/dashesy/CereLink)

The license terms detailed in LICENSE only cover Kiap_bci and CereConn. CereLink has its own license terms.

datacite.yml
Title	KIAP BCI: a BCI framework for intracortical signals
Authors	Vlachos,Ioannis;Wyss Center for Bio and Neuroengineering;ORCID:0000-0002-3319-1486 Tonin,Alessandro;Wyss Center for Bio and Neuroengineering; Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany Espinosa,Arnau;Wyss Center for Bio and Neuroengineering;ORCID:0000-0002-3268-0907 Khalili-Ardali,Majid;Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany;ORCID:0000-0001-9154-6970 Zimmermann,Jonas B;Wyss Center for Bio and Neuroengineering;ORCID:0000-0001-9225-2595
Description	KIAP BCI is a BCI framework mainly written in Python that receives electrophysiological data from Utah arrays and controls an auditory speller.
License	BSD-3-Clause (https://opensource.org/licenses/BSD-3-Clause/)
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 [doi:10.1101/2020.06.10.20122408] (IsSupplementTo)
Funding	Wyss Center for Bio and Neuroengineering
Keywords	Neuroscience Human Intracortical Array Utah Array Spikes BCI ALS Python
Resource Type	Software

README.md

KIAP BCI: a BCI framework for intracortical signals