An Introduction to the Event-Related Potential Technique

By Steven J. Luck. 2005

1,905 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0f7c69f6e998025208af0ae7f786b53bea644162

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Citations in the corpus

Across-trial averaging of event-related EEG responses and beyond. (2008, background): “Sensory, motor or cognitive events (such as a fast-rising sensory stimulus, a brisk self-paced movement or a stimulustriggered cognitive task) can elicit transient changes in this ongoing electrical activity [2].”
Committee report: publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography. (2014, methodology): “It should also be stated whether the peak was defined as the absolute peak or the local peak (e.g., a point that was greater than the adjacent points even if the adjacent points fell outside the measurement window—see Luck, 2005).”
Tensor decomposition of EEG signals: a brief review. (2015, unknown): “Two most fundamental models for tensor decomposition are canonical polyadic (CP) (Hitchcock, 1927) and Tucker (Tucker, 1966).”
Toward an evolutionary social neuroscience of religion (2011, methodology): “…in our specific methodology to the original papers (Inzlicht et al., 2009; Inzlicht & Tullett, 2010); and we direct readers interested in learning more about EEG and event-related potential methods and analyses to excellent treatments by Luck (2005) and Fabiani, Gratton, and Federmeier (2007).”
How to Get Statistically Significant Effects in Any ERP Experiment (and Why You Shouldn’t) (2017, methodology): “Mean amplitude is typically superior to peak amplitude in other ways, however, such as sensitivity to high-frequency noise (Clayson, Baldwin, & Larson, 2013; Luck, 2014).”
Electrophysiological Evidence of the Capture of Visual Attention (2013, background): “ERPs reflect moment-tomoment changes in postsynaptic potentials that are related to sensory, cognitive, and motor events (Luck, 2005).”
Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy. (2010, background): “…there are also limiting factors of NIRS; the temporal resolution is lower than EEG (the precision of which can reach up to a thousand hertz, Luck, 2005); the depth resolution is dependant on the age of the infant and the optical properties of the tissue (see Fukui et al., 2003); the…”
Using EEG to Predict Consumers’ Future Choices (2015, methodology): “…EEG also has a high sampling rate (approximately 1–2 ms; Luck 2005), which enables identification of very fast changes in the neural signal over short time scales (approximately 50 ms; Luck 2005) that may carry strong predictive information about consumer preferences and choice behavior.”
Electrophysiological Indices of Target and Distractor Processing in Visual Search (2009, background): “The apparent relationship between the N2pc and distractor-suppression led Luck, Girelli, et al. (1997) to propose a theory of visual attention in which distractorsuppression plays a central role.”
Understanding bilingual brain function and structure changes? U bet! A unified bilingual experience trajectory model (2020, background): “The peaks and troughs in an ERP waveform often follow a stereotypical temporal pattern of positive and negative voltage deflections, classified as ‘components’ (Luck, 2005) which are assumed to map onto various cognitive constructs.”
Processing of auditory feedback in perisylvian and insular cortex (2024, background): “The N100/M100 component is an early-onset neural response that is observed at acoustic edges with high temporal modulation (Luck, 2014), making these components share characteristics with onset responses observed using invasive recordings.”