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ERPLAB: an open-source toolbox for the analysis of event-related potentials.
Lopez-Calderon, Javier; Luck, Steven J.
Afiliación
  • Lopez-Calderon J; Department of Psychology, Center for Mind and Brain, University of California-Davis Davis, CA, USA.
  • Luck SJ; Department of Psychology, Center for Mind and Brain, University of California-Davis Davis, CA, USA.
Front Hum Neurosci ; 8: 213, 2014.
Article en En | MEDLINE | ID: mdl-24782741
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Hum Neurosci Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Hum Neurosci Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza