ERP CORE: An open resource for human event-related potential research
Open accessAbstract
Event-related potentials (ERPs) are noninvasive measures of human brain activity that index a range of sensory, cognitive, affective, and motor processes. Despite their broad application across basic and clinical research, there is little standardization of ERP paradigms and analysis protocols across studies. To address this, we created ERP CORE (Compendium of Open Resources and Experiments), a set of optimized paradigms, experiment control scripts, data processing pipelines, and sample data (N = 40 neurotypical young adults) for seven widely used ERP components: N170, mismatch negativity (MMN), N2pc, N400, P3, lateralized readiness potential (LRP), and error-related negativity (ERN). This resource makes it possible for researchers to 1) employ standardized ERP paradigms in their research, 2) apply carefully designed analysis pipelines and use a priori selected parameters for data processing, 3) rigorously assess the quality of their data, and 4) test new analytic techniques with standardized data from a wide range of paradigms.
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Ethical approval for the original data collection was obtained by the original investigators: the ERP CORE dataset was approved by the Institutional Review Board at the University of California, Davis, and the HRI ErrP dataset was approved by the ethics commission of the Faculty of Medicine, Technische Universität München (reference number 236/15s).
“Ethical approval for the original data collection was obtained by the original investigators: the ERP CORE dataset was approved by the Institutional Review Board at the University of California, Davis [33]; the HRI ErrP dataset was approved by the ethics commission of the Faculty of Medicine, Technische Universit¨ at M¨ unchen (reference number 236/15s) [32].”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [33]
Split into 2 atoms — 1 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredThe ERN was elicited using an Eriksen flankers task, with response-locked trials classified as incorrect versus correct responses.
“The error-related negativity was elicited using an Eriksen flankers task in which subjects identified the direction of a central arrowhead flanked by congruent or incongruent distractors. Trials were response-locked and classified as incorrect vs correct responses.”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [33]
The Methods (Stimuli and Tasks; page unavailable) describe a variant of the Eriksen flanker task with a central arrowhead and congruent or incongruent flankers. The Results (Basic ERP Effects; page unavailable) compare the ERN for incorrect versus correct responses. The passages in our copy do not establish that the analyzed trials were response-locked. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe N170 was elicited using a face perception task with only intact stimuli used, and trials classified as face versus car.
“The N170 was elicited using a face perception task in which subjects judged whether each stimulus was an intact object (faces or cars) or a texture (scrambled faces or scrambled cars). Only intact stimuli were used; trials were classified as face vs car.”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [33]
The Methods (Stimuli and Tasks; page unavailable) describe the N170 face-perception task and the object-versus-texture judgment using faces, cars, and their scrambled versions. The Results (Basic ERP Effects; page unavailable) compare N170 responses to faces and cars. Our copy does not explicitly say that only intact-stimulus trials were used in the analysis. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe N2pc was elicited using a visual search task with arrays of colored squares in both hemifields, and trials classified as left-target versus right-target.
“It was elicited using a visual search task in which subjects viewed arrays of colored squares in both hemifields. On each trial, they identified whether a small notch in the color-defined target square appeared on the top or bottom edge. Trials were classified as left-target vs right-target.”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [33]
The Material and Methods section (page not provided) confirms that the N2pc was elicited with a visual search task: participants searched for a pink or blue target square and reported whether its gap was on the top or bottom. The Results section (page not provided) describes activity contralateral versus ipsilateral to the target, consistent with target side being relevant. The available text does not state that arrays of squares appeared in both hemifields or that trials were classified as left-target versus right-target. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe original ERP CORE publication reports smaller per-component samples (N = 34-39) after exclusions based on behavioral-accuracy and artifact-rejection criteria tied to their ERP-averaging pipeline.
“Note that the original ERP CORE publication [33] reports smaller per-component samples (N = 34-39) after exclusions based on behavioral-accuracy and artifact-rejection criteria tied to their ERP-averaging pipeline.”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [33]
The MMN was elicited using a passive auditory oddball task with standard (80 dB, p = 0.8) and deviant (70 dB, p = 0.2) tones, with trials classified as deviant versus standard.
“The mismatch negativity was elicited using a passive auditory oddball task. Standard (80 dB, p = 0 . 8) and deviant (70 dB, p = 0 . 2) tones were presented while subjects watched a silent video. Trials were classified as deviant vs standard.”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [33]
The LRP was elicited using the same flankers task, restricted to correct-response trials and analyzed with respect to response hand, with response-locked trials classified as left-hand versus right-hand responses.
“The lateralized readiness potential was elicited using the same flankers task, restricted to trials with correct responses and analyzed with respect to response hand. Trials were response-locked and classified as left-hand vs right-hand responses.”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [33]
The remaining seven datasets are drawn from ERP CORE, a publicly available resource providing standardized paradigms for 7 ERPs and data from 40 subjects across 30 EEG channels.
“The remaining seven datasets are drawn from ERP CORE 3 [33], a publicly available resource providing standardized paradigms for 7 ERPs and data from 40 subjects across 30 EEG channels.”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [33]
The N400 was elicited using a word pair judgment task, with trials classified as unrelated versus related.
“The N400 was elicited using a word pair judgment task. A red prime word was followed by a green target word, and subjects indicated whether the pair was semantically related or unrelated. Trials were classified as unrelated vs related.”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [33]
The P300 was elicited using an active visual oddball task with equiprobable letters and one designated target per block, with trials classified as target versus non-target.
“The P300 was elicited using an active visual oddball task in which letters were presented equiprobably and one was designated the target per block. Trials were classified as target vs non-target.”
From ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification (2026) · cites this paper as [33]
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Cites
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · Psychological Science · doi:10.1177/0956797611417632 · Cited by 6,567 · see citing works
Kutas, M., & Federmeier, K. D. (2011) · Annual Review of Psychology · doi:10.1146/annurev.psych.093008.131123 · Cited by 4,377 · see citing works
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Buzsáki, G., Anastassiou, C. A., & Koch, C. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3241 · Cited by 4,225 · see citing works
The mismatch negativity: a review of underlying mechanisms
Garrido, M. I., Kilner, J. M., Stephan, K. E., & Friston, K. J. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.11.029 · Cited by 1,441 · see citing works
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Research works printed but not linked: 46
- Boudewyn MA, Luck SJ, Farrens JL, Kappenman ES, 2018. How many trials does it take to get a significant ERP effect? It depends. Psychophysiology. 55, e13049. 10.1111/psyp.13049 29266241 PMC5940511 · DOI
- Bukach CM, Stewart K, Couperus JW, Reed CL, 2019. Using Collaborative Models to Overcome Obstacles to Undergraduate Publication in Cognitive Neuroscience. Front. Psychol. 10, 549. 30949093 PMC6437082
- Carmel D, 2002. Domain specificity versus expertise: factors influencing distinct processing of faces. Cognition. 83, 1– 29. 10.1016/S0010-0277(01)00162-7 11814484 · DOI
- Delorme A, Makeig S, 2004. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods. 134, 9– 21. 15102499
- van Dinteren R, Arns M, Jongsma MLA, Kessels RPC, 2014. P300 Development across the Lifespan: A Systematic Review and Meta-Analysis. PLoS One. 9, e87347. 10.1371/journal.pone.0087347 24551055 PMC3923761 · DOI
- Eimer M, 2011. The Face-Sensitive N170 Component of the Event-Related Brain Potential. Oxford University Press. 10.1093/oxfordhb/9780199559053.013.0017 · DOI
- Eimer M, Coles MGH, 2003. The Lateralized Readiness Potential, in: Jahanshahi M, Hallett M (Eds.), The Bereitschaftspotential: Movement-Related Cortical Potentials. Springer US, Boston, MA, pp. 229– 248. 10.1007/978-1-4615-0189-3_14 · DOI
- Eriksen BA, Eriksen CW, 1974. Effects of noise letters upon the identification of a target letter in a nonsearch task. Percept. Psychophys. 16, 143– 149.
- Feuerriegel D, Churches O, Hofmann J, Keage HAD, 2015. The N170 and face perception in psychiatric and neurological disorders: A systematic review. Clin. Neurophysiol. 126, 1141– 1158. 10.1016/j.clinph.2014.09.015 25306210 · DOI
- Gehring WJ, Liu Y, Orr JM, Carp J, 2012. The Error-Related Negativity (ERN/Ne), in: Luck SJ, Kappenman ES (Eds.), Oxf. Handb. Event-Relat. Potential Compon. Oxford University Press, Oxford, pp. 231– 292. 10.1093/oxfordhb/9780195374148.013.0120 · DOI · Paper page
- Groppe DM, Urbach TP, Kutas M, 2011. Mass univariate analysis of event-related brain potentials/fields I: A critical tutorial review. Psychophysiology. 48, 1711– 1725. 10.1111/j.1469-8986.2011.01273.x 21895683 PMC4060794 · DOI
- Itier RJ, 2004. N170 or N1? Spatiotemporal Differences between Object and Face Processing Using ERPs. Cereb. Cortex. 14, 132– 142. 14704210
- Jackson AF, Bolger DJ, 2014. The neurophysiological bases of EEG and EEG measurement: A review for the rest of us: Neurophysiological bases of EEG. Psychophysiology 51, 1061– 1071. 25039563
- Jung T-P, Makeig S, Westerfield M, Townsend J, Courchesne E, Sejnowski TJ, 2000. Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects. Clin. Neurophysiol. 111, 1745– 1758. 11018488
- Kappenman ES, Luck SJ, 2012. ERP components: The ups and downs of brainwave recordings, in: Luck SJ, Kappenman ES (Eds.), Oxf. Handb. Event-Relat. Potential Compon. Oxford University Press, Oxford, pp. 3– 30. 10.1093/oxfordhb/9780195374148.013.0014 · DOI
- Keil A, Debener S, Gratton G, Junghöfer M, Kappenman ES, Luck SJ, Luu P, Miller GA, Yee CM, 2014. Committee report: Publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography: Guidelines for EEG and MEG. Psychophysiology 51, 1– 21. 10.1111/psyp.12147 24147581 · DOI
- Kiesel A, Miller J, Jolicœur P, Brisson B, 2008. Measurement of ERP latency differences: A comparison of single-participant and jackknife-based scoring methods. Psychophysiology 45, 250– 274. 10.1111/j.1469-8986.2007.00618.x 17995913 · DOI
- Kopp B, Rist F, Mattler U, 1996. N200 in the flanker task as a neurobehavioral tool for investigating executive control. Psychophysiology. 33, 282– 294. 10.1111/j.1469-8986.1996.tb00425.x 8936397 · DOI
- Kriegeskorte N, Simmons WK, Bellgowan PSF, Baker CI, 2009. Circular analysis in systems neuroscience: the dangers of double dipping. Nat. Neurosci. 12, 535– 540. 19396166 PMC2841687
- Lau EF, Phillips C, Poeppel D, 2008. A cortical network for semantics: (de)constructing the N400. Nat Rev Neurosci. 9, 920– 933. 10.1038/nrn2532 19020511 · DOI
- Lopez-Calderon J, Luck SJ, 2014. ERPLAB: an open-source toolbox for the analysis of event-related potentials. Front. Hum. Neurosci. 8, 213. 24782741 PMC3995046
- Luck SJ, 2014. An Introduction to the Event-Related Potential Technique. The MIT Press, Cambridge.
- Luck SJ, 2012. Electrophysiological Correlates of the Focusing of Attention within Complex Visual Scenes: N2pc and Related ERP Components, in: Luck SJ, Kappenman ES (Eds.), Oxf. Handb. Event-Relat. Potential Compon. Oxford University Press, Oxford, pp. 329– 360. 10.1093/oxfordhb/9780195374148.013.0161 · DOI
- Luck SJ, Fuller RL, Braun EL, Robinson B, Summerfelt A, Gold JM, 2006. The speed of visual attention in schizophrenia: Electrophysiological and behavioral evidence. Schizophr. Res. 85, 174– 195. 10.1016/j.schres.2006.03.040 16713184 · DOI
- Luck SJ, Gaspelin N, 2017. How to get statistically significant effects in any ERP experiment (and why you shouldn’t). Psychophysiology. 54, 146– 157. 10.1111/psyp.12639 28000253 PMC5178877 · DOI
- Luck SJ, Kappenman ES, 2012. Oxford handbook of event-related potential components. Oxford University Press, Oxford. 10.1093/oxfordhb/9780195374148.001.0001 · DOI · Paper page
- Luck SJ, Kappenman ES, Fuller RL, Robinson B, Summerfelt A, Gold JM, 2009. Impaired response selection in schizophrenia: Evidence from the P3 wave and the lateralized readiness potential. Psychophysiology. 46, 776– 786. 10.1111/j.1469-8986.2009.00817.x 19386044 PMC2706937 · DOI
- Meyer A, Lerner MD, De Los Reyes A, Laird RD, Hajcak G, 2017. Considering ERP difference scores as individual difference measures: Issues with subtraction and alternative approaches: Difference scores and ERPs. Psychophysiology. 54, 114– 122. 10.1111/psyp.12664 28000251 · DOI · Paper page
- Näätänen R & Kreegipuu K, 2012. The Mismatch Negativity (MMN). in: Luck SJ, Kappenman ES (Eds.), Oxf. Handb. Event-Relat. Potential Compon. Oxford University Press, Oxford, pp. 143– 157.
- Näätänen R, Pakarinen S, Rinne T & Takegata R, 2004. The mismatch negativity (MMN): towards the optimal paradigm. Clin. Neurophysiol. 115, 140– 144. 14706481
- Olvet D, Hajcak G, 2008. The error-related negativity (ERN) and psychopathology: Toward an endophenotype. Clin. Psychol. Rev. 28, 1343– 1354. 10.1016/j.cpr.2008.07.003 18694617 PMC2615243 · DOI
- Peirce J, 2019. PsychoPy2: Experiments in behavior made easy. Behav. Res. Methods 51, 195– 203. 30734206 PMC6420413
- Pernet CR, Garrido M, Gramfort A, Maurits N, Michel C, Pang E, … Puce A (2018, 8 9). Best Practices in Data Analysis and Sharing in Neuroimaging using MEEG. 10.31219/osf.io/a8dhx · DOI
- Polich J 2007. Updating P300: An integrative theory of P3a and P3b. Clin. Neurophysiol. 118, 2128– 2148. 17573239 PMC2715154
- Polich J, 2012. Neuropsychology of P300. in Oxf, in: Luck SJ, Kappenman ES (Eds.), Handb. Event-Relat. Potential Compon. Oxford University Press, Oxford, pp. 159– 188. 10.1093/oxfordhb/9780195374148.013.0089 · DOI
- Purmann S, Badde S, Luna-Rodriguez A, Wendt M, 2011. Adaptation to Frequent Conflict in the Eriksen Flanker Task: An ERP Study. J. Psychophysiol. 25, 50– 59. 10.1027/0269-8803/a000041 · DOI
- Ritter W, Vaughan HG, 1969. Averaged Evoked Responses in Vigilance and Discrimination: A Reassessment. Science. 164, 326– 328. 10.1126/science.164.3877.326 5776645 · DOI
- Rossion B, Caharel S, 2011. ERP evidence for the speed of face categorization in the human brain: Disentangling the contribution of low-level visual cues from face perception. Vision Res. 51, 1297– 1311. 21549144
- Rossion B, Jacques C, 2012. The N170: Understanding the Time Course of Face Perception in the Human Brain, in: Luck SJ, Kappenman ES (Eds.), Oxf. Handb. Event-Relat. Potential Compon. Oxford University Press, Oxford, pp. 115– 141. 10.1093/oxfordhb/9780195374148.013.0064 · DOI
- Rousselet GA (2012). Does Filtering Preclude Us from Studying ERP Time-Courses? Frontiers in Psychology, 3, 131. 10.3389/fpsyg.2012.00131 22586415 PMC3343304 · DOI
- Sagiv N, Bentin S, 2001. Structural Encoding of Human and Schematic Faces: Holistic and Part-Based Processes. J. Cogn. Neurosci. 13, 937– 951. 10.1162/089892901753165854 11595097 · DOI
- Sassenhagen J, Draschkow D, 2019. Cluster‐based permutation tests of MEG/EEG data do not establish significance of effect latency or location. Psychophysiology. 56, e13335. 30657176
- Schimmel H, 1967. The (±) Reference: Accuracy of Estimated Mean Components in Average Response Studies. Science. 157, 92– 94. 6026675
- Smulders FTY, Miller JO, 2012. The Lateralized Readiness Potential, in: Luck SJ, Kappenman ES (Eds.), Oxf. Handb. Event-Relat. Potential Compon. Oxford University Press, Oxford, pp. 209– 230. 10.1093/oxfordhb/9780195374148.013.0115 · DOI
- Swaab TY, Ledoux K, Camblin CC, Boudewyn MAL-RERPC in O.H., 2012. Event-Relat. Potential Compon. Oxford University Press, Oxford. 10.1093/oxfordhb/9780195374148.013.0197 · DOI
- Tanner D, Morgan-Short K, & Luck SJ (2015). How inappropriate high-pass filters can produce artifactual effects and incorrect conclusions in ERP studies of language and cognition. Psychophysiology, 52, 997– 1009. 25903295 PMC4506207
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Clayson, P. E., Kappenman, E. S., Gehring, W. J., Miller, G. A., & Larson, M. J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117932 · Cited by 28 · see citing works
Self-citationQin, Y., Xu, Q., Kujala, T., Wang, X., & Cong, F. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.109535 · Cited by 1 · see citing works
ERP-XTTN: interpretable prototype-guided cross-attention for cross-subject ERP classification
Genevier Wyman, C., & Hirshfield, L. (2026) · Journal of Neural Engineering · doi:10.1088/1741-2552/ae9f95
- Authors
- Kappenman, E. S., Farrens, J. L., Zhang, W., Stewart, A. X., & Luck, S. J.
- Affiliations
- San Diego State University (US)
- University of California, Davis (US)
- Corresponding author
- Kappenman, Emily S.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 225
- Pages
- 117465
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC7909723
- OpenAlex
- W3093672414
- Cited by
- 223
- References
- 4
- Citations by year
- 2026: 37 · 2025: 61 · 2024: 44 · 2023: 34 · 2022: 32 · 2021: 13 · 2020: 2
- FWCI
- 10.88
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Funders
- National Institutes of Health (R01MH087450, R25MH080794)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- event-related potentials, open science resources, N170, mismatch negativity, N2pc, N400, P3, lateralized readiness potential, error-related negativity, data quality assessment
- MeSH terms
- Adult, Brain, Electroencephalography, Evoked Potentials, Female, Humans, Male
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