1.7: Key Takeaways and References

Applied Event-Related Potential Data Analysis 2e · LibreTexts

0%

Contents

    Text

    Size
    100%
    Theme
    Typeface
    Line length
    Spacing

    From LibreTexts, under CC BY-NC 4.0, as the source states it; its equations are written in TeX, which the PDF shows typeset. This page at LibreTexts.

    Key Takeaways

    • This book focuses on applied ERP data analysis, using the ERPLAB Studio program as an interface into the open-source EEGLAB and ERPLAB analysis packages. The packages are free, but they require Matlab to run.
    • Most of the analysis examples are from the ERP CORE, a set of 6 standardized ERP experiments.
    • You will almost certainly run into technical problems, but a major goal of the book is for you to learn to solve these problems. Appendix 2 provides a Troubleshooting Guide that will teach you some useful principles for solving technical problems.
    • Many problems and errors are a result of an incorrect PATH. If Matlab tells you that a function can't be found, you probably need to update the PATH.

    References

    Berger, H. (1929). Ueber das Elektrenkephalogramm des Menschen. Archives Fur Psychiatrie Nervenkrankheiten, 87, 527–570.

    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.

    Lopez-Calderon, J., & Luck, S. J. (2014). ERPLAB: An open-source toolbox for the analysis of event-related potentials. Frontiers in Human Neuroscience, 8, 213. https://doi.org/10.3389/fnhum.2014.00213

    Luck, S. J. (2023). Event-related potentials. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA Handbook of Research Methods in Psychology: Volume 1, Foundations, Planning, Measures, and Psychometrics (2nd Edition, pp. 605–630). American Psychological Association. https://doi.org/10.1037/0000318-028

    Luck, S. J. (2014). An Introduction to the Event-Related Potential Technique, Second Edition. MIT Press.

    Rosenbaum, D. A., Vaughan, J., & Wyble, B. (2014). MATLAB for Behavioral Scientists (2nd Edition). Routledge.

    This page titled 1.7: Key Takeaways and References was last modified on Thu, 01 Oct 2026 18:52:43 GMT and is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by Steven J Luck directly on the LibreTexts platform.