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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"

Jonas Zimmermann 5c620da43e update readme and datacite 3 년 전
CereConn ae3791aa82 gin commit from L-1010036236 3 년 전
CereLink 7e69a31e78 update CereLink license 3 년 전
kiap_bci ae3791aa82 gin commit from L-1010036236 3 년 전
.gitignore 3c6cd45d85 Initial commit 3 년 전
LICENSE 8de1e7337d Update license and README 3 년 전
README.md 5c620da43e update readme and datacite 3 년 전
datacite.yml 5c620da43e update readme and datacite 3 년 전

README.md

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