ERPLAB: an open-source toolbox for the analysis of event-related potentials

By Javier Lopez-Calderon, Steven J. Luck. Frontiers in Human Neuroscience, 2014

2,404 citations recorded by the source corpus.

ERPLAB toolbox is a freely available, open-source toolbox for processing and analyzing event-related potential (ERP) data in the MATLAB environment. ERPLAB is closely integrated with EEGLAB, a popular open-source toolbox that provides many EEG preprocessing steps and an excellent user interface design. ERPLAB adds to EEGLAB’s EEG processing functions, providing additional tools for filtering, artifact detection, re-referencing, and sorting of events, among others. ERPLAB also provides robust tools for averaging EEG segments together to create averaged ERPs, for creating difference waves and other recombinations of ERP waveforms through algebraic expressions, for filtering and re-referencing the averaged ERPs, for plotting ERP waveforms and scalp maps, and for quantifying several types of amplitudes and latencies. ERPLAB’s tools can be accessed either from an easy-to-learn graphical user interface or from MATLAB scripts, and a command history function makes it easy for users with no programming experience to write scripts. Consequently, ERPLAB provides both ease of use and virtually unlimited power and flexibility, making it appropriate for the analysis of both simple and complex ERP experiments. Several forms of documentation are available, including a detailed user’s guide, a step-by-step tutorial, a scripting guide, and a set of video-based demonstrations.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/04f037fc3cf0c8f5648be275a9f1786640295301

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

  1. Morris Moscovitch
  2. Brian Levine
  3. Patrick S. R. Davidson
  4. Bianca Zickerick
  5. Burkhard Maess
  6. Louis Renoult
  7. Melinda Sabo
  8. Erika Schmitz

Citations in the corpus