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README.md 0be45f4ece gin commit from L-1010036236.local 2 years ago
basics.py 27f81fbfcb gin commit from L-1010036236 2 years ago
environment.yml 27f81fbfcb gin commit from L-1010036236 2 years ago
plot_figures_part_A.py 27f81fbfcb gin commit from L-1010036236 2 years ago
plot_figures_part_B.py 27f81fbfcb gin commit from L-1010036236 2 years ago
plot_figures_part_C.py 27f81fbfcb gin commit from L-1010036236 2 years ago

README.md

KIAP Paper figure scripts

Purpose

This repository contains Python scripts to reproduce the figures published in the KIAP paper.

Prerequisites

  1. The KIAP BCI dataset. By default, these data should be in folders ../KIAP_BCI_neurofeedback and ../KIAP_BCI_speller relative to this file. The location can be changed in basics.py.
  2. The output folder (by default ../out) has to exist and be writable.
  3. Install conda (e.g. https://docs.conda.io/en/latest/miniconda.html)
  4. Open a terminal and navigate to the folder containing this file.
  5. Create a conda environment: conda env create -f=environment.yml
  6. Activate the new environment: conda activate kiap_paper
  7. Run ipython
  8. From within IPython, run the figure producing scripts:

    run plot_figures_part_A.py run plot_figure_3A.py run plot_figure_4.py

    • plot_figures_part_A.py contains functions to produce figures 2, 3B, and S2.
    • plot_figures_part_B.py contains functions to produce figure 3A.
    • plot_figures_part_C.py contains functions to produce figure 4.

The figures will be saved to the output directory, as eps, pdf, and svg files.

datacite.yml
Title Spelling Interface using Introcortical Signals in a Completely Locked-In Patient enabled via Auditory Neurofeedback Training
Authors Chaudhary,Ujwal;Wyss Center for Bio and Neuroengineering; Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany;ORCID:0000-0002-7887-1012
Vlachos,Ioannis;Wyss Center for Bio and Neuroengineering;ORCID:0000-0002-3319-1486
Zimmermann,Jonas B;Wyss Center for Bio and Neuroengineering;ORCID:0000-0001-9225-2595
Espinosa,Arnau;Wyss Center for Bio and Neuroengineering;ORCID:0000-0002-3268-0907
Tonin,Alessandro;Wyss Center for Bio and Neuroengineering; Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany
Jaramillo-Gonzalez,Andres;Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany
Khalili-Ardali,Majid;Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany;ORCID:0000-0001-9154-6970
Topka,Helge;Department of Neurology, Clinical Neurophysiology, Cognitive Neurology and Stroke Unit München Klinik Bogenhausen, Munich, Germany
Lehmberg,Jens;Department of Neurosurgery, München Klinik Bogenhausen, Munich, Germany;ORCID:0000-0002-8502-3134
Friehs,Gerhard M;Neurosurgery Department, European University, Nicosia, Cyprus
Woodtli,Alain;Wyss Center for Bio and Neuroengineering
Donoghue,John P;Carney Brain Institute, Brown University, Providence, USA;ORCID:0000-0002-9394-6940
Birbaumer,Niels;Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany;ORCID:0000-0002-6786-5127
Description This dataset contains intracranial data (threshold crossings converted to multi-unit spike rate estimates) as well as behavioral data (events from the BCI software) recorded from one participant in a clinical case over a year.
License Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (https://creativecommons.org/licenses/by-nc-sa/4.0/)
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
Resource Type Dataset