A Web Application for Visualizing Event-Related Potential Waveforms
Author:
Affiliation:
1. Graduate School of Human Sciences, Osaka University
Publisher
Japanese Society for Physiological Psychology and Psychophysiology
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjppp/advpub/0/advpub_2318tn/_pdf
Reference17 articles.
1. Chang, W., Cheng, J., Allaire, J., Sievert, C., Schloerke, B., Xie, Y., Allen, J., McPherson, J., Dipert, A., & Borges, B. (2023). shiny: Web application framework for R. R package version 1.8.0. https://github.com/rstudio/shiny, https://shiny.posit.co/.
2. Cumming, G. (2014). The new statistics: Why and how. Psychological Science, 25, 7–29. https://doi.org/10.1177/0956797613504966
3. Delorme, A., & Makeig, S. (2004). EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods, 134, 9–21. https://doi.org/10.1016/j.jneumeth.2003.10.009
4. Drummond, G. B., & Vowler, S. L. (2011). Show the data, don’t conceal them. Journal of Physiology, 589, 1861–1863. https://doi.org/10.1113/jphysiol.2011.205062
5. Ishida, K., & Nittono, H. (2024). Relationship between schematic and dynamic expectations of melodic patterns in music perception. International Journal of Psychophysiology, 196, 112292. https://doi.org/10.1016/j.ijpsycho.2023.112292
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