test

bnelair · Jul 5, 2024 · 2ebad36 · 2ebad36
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diff --git a/.github/workflows/test_publish.yml b/.github/workflows/test_publish.yml
@@ -9,30 +9,20 @@ jobs:
     strategy:
       matrix:
         include:
-            - os: ubuntu-20.04
-              python-version: '3.6.12'
-            - os: ubuntu-20.04
-              python-version: '3.7'
             - os: ubuntu-20.04
               python-version: '3.8'
             - os: ubuntu-20.04
               python-version: '3.9'
             - os: ubuntu-20.04
               python-version: '3.10'
 
-            - os: macos-latest
-              python-version: '3.6.12'
-            - os: macos-latest
-              python-version: '3.7'
             - os: macos-latest
               python-version: '3.8'
             - os: macos-latest
               python-version: '3.9'
             - os: macos-latest
               python-version: '3.10'
 
-            - os: windows-latest
-              python-version: '3.7'
             - os: windows-latest
               python-version: '3.8'
             - os: windows-latest

diff --git a/README.rst b/README.rst
@@ -31,21 +31,21 @@ Acknowledgement
 BEST was developed and originally published for the first time with by (Mivalt 2022, and Sladky 2022).
 We apreciate you citing these papers when utilizing this toolbox in further research work.
 
-| F. Mivalt et V. Kremen et al., “Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans,” J. Neural Eng., vol. 19, no. 1, p. 016019, Feb. 2022, doi: 10.1088/1741-2552/ac4bfd.
-|
-| V. Sladky et al., “Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation,” Brain Commun., vol. 4, no. 3, May 2022, doi: 10.1093/braincomms/fcac115.
+ | F. Mivalt et V. Kremen et al., “Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans,” J. Neural Eng., vol. 19, no. 1, p. 016019, Feb. 2022, doi: 10.1088/1741-2552/ac4bfd.
+ |
+ | V. Sladky et al., “Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation,” Brain Commun., vol. 4, no. 3, May 2022, doi: 10.1093/braincomms/fcac115.
 
 Please, see the sections below for references to individual submodules.
 
 Sleep classification and feature extraction
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 Automated feature extraction and sleep classification was developed during the following projects.
 
-| F. Mivalt et V. Kremen et al., “Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans,” J. Neural Eng., vol. 19, no. 1, p. 016019, Feb. 2022, doi: 10.1088/1741-2552/ac4bfd.
-|
-| F. Mivalt et V. Sladky et al., “Automated sleep classification with chronic neural implants in freely behaving canines,” J. Neural Eng., vol. 20, no. 4, p. 046025, Aug. 2023, doi: 10.1088/1741-2552/aced21.
+ | F. Mivalt et V. Kremen et al., “Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans,” J. Neural Eng., vol. 19, no. 1, p. 016019, Feb. 2022, doi: 10.1088/1741-2552/ac4bfd.
+ |
+ | F. Mivalt et V. Sladky et al., “Automated sleep classification with chronic neural implants in freely behaving canines,” J. Neural Eng., vol. 20, no. 4, p. 046025, Aug. 2023, doi: 10.1088/1741-2552/aced21.
 
-Sleep classification work was based on the following publications:
+Our work was based on the following references:
 
  | Gerla, V., Kremen, V., Macas, M., Dudysova, D., Mladek, A., Sos, P., & Lhotska, L. (2019). Iterative expert-in-the-loop classification of sleep PSG recordings using a hierarchical clustering. Journal of Neuroscience Methods, 317(February), 61?70. https://doi.org/10.1016/j.jneumeth.2019.01.013
  |
@@ -56,16 +56,24 @@ Sleep classification work was based on the following publications:
 
 Seizure detection
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-| V. Sladky et al., “Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation,” Brain Commun., vol. 4, no. 3, May 2022, doi: 10.1093/braincomms/fcac115.
+ | V. Sladky et al., “Distributed brain co-processor for tracking spikes, seizures and behaviour during electrical brain stimulation,” Brain Commun., vol. 4, no. 3, May 2022, doi: 10.1093/braincomms/fcac115.
 
 Artificial Signal Generation
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-| F. Mivalt et al., “Deep Generative Networks for Algorithm Development in Implantable Neural Technology,” in 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct. 2022, pp. 1736–1741, doi: 10.1109/SMC53654.2022.9945379.
-
+ | F. Mivalt et al., “Deep Generative Networks for Algorithm Development in Implantable Neural Technology,” in 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct. 2022, pp. 1736–1741, doi: 10.1109/SMC53654.2022.9945379.
 
 Evoked Response Potential Analysis
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
-| K. J. Miller et al., “Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation,” PLOS Comput. Biol., vol. 19, no. 5, p. e1011105, May 2023, doi: 10.1371/journal.pcbi.1011105.
+ | K. J. Miller et al., “Canonical Response Parameterization: Quantifying the structure of responses to single-pulse intracranial electrical brain stimulation,” PLOS Comput. Biol., vol. 19, no. 5, p. e1011105, May 2023, doi: 10.1371/journal.pcbi.1011105.
+
+EEG Slow Wave Detection and Analysis
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+`Link to another file <./path/to/another-file.rst>`_
+
+ | XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
+
+
 
 Funding
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