From 08a359251da85405c60c3c0f18a56e9af786860e Mon Sep 17 00:00:00 2001 From: Chad C Williams Date: Mon, 1 May 2023 20:28:42 -0700 Subject: [PATCH] Added research tab --- .../Images/Figure 5. Classification.png | Bin 0 -> 392207 bytes docs/Research/cognitivescience2023.md | 19 ++++++++++++++++++ mkdocs.yml | 2 ++ 3 files changed, 21 insertions(+) create mode 100644 docs/Research/Images/Figure 5. Classification.png create mode 100644 docs/Research/cognitivescience2023.md diff --git a/docs/Research/Images/Figure 5. Classification.png b/docs/Research/Images/Figure 5. 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Science + +
[Preprint](https://osf.io){ .md-button } [Journal Print](https://cognitivesciencesociety.org/cognitive-science-journal/){ .md-button} [GitHub](https://github.com/chadcwilliams/EEG-GAN_CognitiveScience2023){ .md-button }
+ +#### Abstract: #### + +There is major potential for using electroencephalography (EEG) in brain decoding that has been untapped due to the need for large amounts of data. Advances in machine learning have mitigated this need through data augmentation techniques, such as Generative Adversarial Networks (GANs). Here, we gauged the extent to which GANs can augment EEG data to enhance classification performance. Our objectives were to determine which classifiers benefit from GANaugmented +EEG and to estimate the impact of sample sizes on GAN-enhancements. We investigated three classifiers—neural networks, support vector machines, and logistic regressions— +across seven sample sizes ranging from 5 to 100 participants. GAN-augmented EEG enhanced classification for neural networks and support vector machines, but not logistic regressions. Further, GAN-enhancements diminished as sample sizes increased—suggesting it is most effective with small samples, which may facilitate research that is unable to collect large amounts of data. + +![](./Images/Figure 5. Classification.png){: style="height:600px;width:1200px"} \ No newline at end of file diff --git a/mkdocs.yml b/mkdocs.yml index 1b62a39..c64af37 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -36,4 +36,6 @@ nav: - Examples: 'HowToUse/examples.md' - Tutorials: - Notebook: 'Tutorials/web_EEG_GAN_tutorial.ipynb' + - Research: + - Cognitive Science, 2023: 'Research/cognitivescience2023.md' - Repository: https://github.com/AutoResearch/EEG-GAN" target="_blank \ No newline at end of file