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Event-related potential (ERP), a specialized paradigm of electroencephalographic (EEG), reflects neurological responses to external stimuli or events, generally associated with the brain's processing of specific cognitive tasks. ERP plays a…

Neural and Evolutionary Computing · Computer Science 2026-04-21 Yihe Wang , Zhiqiao Kang , Bohan Chen , Yu Zhang , Xiang Zhang

Event-related potentials (ERP) are measurements of brain activity with wide applications in basic and clinical neuroscience, that are typically estimated using the average of many trials of electroencephalography signals (EEG) to…

Machine Learning · Computer Science 2025-12-01 Anders Vestergaard Nørskov , Kasper Jørgensen , Alexander Neergaard Zahid , Morten Mørup

Electroencephalography (EEG) recordings of brain activity taken while participants read or listen to language are widely used within the cognitive neuroscience and psycholinguistics communities as a tool to study language comprehension.…

Computation and Language · Computer Science 2019-11-05 Dan Schwartz , Tom Mitchell

The P300 speller is a brain-computer interface that enables people with neuromuscular disorders to communicate based on eliciting event-related potentials (ERP) in electroencephalography (EEG) measurements. One challenge to reliable…

Information Theory · Computer Science 2017-01-13 Vaishakhi Mayya , Boyla Mainsah , Galen Reeves

Event-related potentials (ERPs) are very small voltage produced by the brain in response to external stimulation. In order to detect and evaluate an ERP in an ongoing electroencephalogram (EEG), it is necessary to tag the EEG with the exact…

Human-Computer Interaction · Computer Science 2018-12-10 Grégoire Cattan , Anton Andreev , Bastien Maureille , Marco Congedo

Electroencephalography (EEG) provides a way to understand, and evaluate neurotransmission. In this context, time-locked EEG activity or event-related potentials (ERPs) are often used to capture neural activity related to specific mental…

Signal Processing · Electrical Eng. & Systems 2024-11-21 Mario Molina , Lorenzo J. Tardon , Ana M. Barbancho , Irene De-Torres , Isabel Barbancho

Electroencephalography (EEG) signals recordings when people reading natural languages are commonly used as a cognitive method to interpret human language understanding in neuroscience and psycholinguistics. Previous studies have…

Computation and Language · Computer Science 2021-03-30 Xinping Liu , Zehong Cao

We develop a method that is based on processing gathered Event Related Potentials (ERP) signals and the use of machine learning technique for multivariate analysis (i.e. classification) that we apply in order to analyze the differences…

Machine Learning · Computer Science 2019-01-21 Alex Frid , Larry M. Manevitz

Understanding of neuro-dynamics of a complex higher cognitive process, Working Memory (WM) is challenging. In WM, information processing occurs through four subsystems: phonological loop, visual sketch pad, memory buffer and central…

Signal Processing · Electrical Eng. & Systems 2020-03-13 Pankaj , Jamuna Rajeswaran , Divya Sadana

Speeding up the spelling in event-related potentials (ERP) based Brain-Computer Interfaces (BCI) requires eliciting strong brain responses in a short span of time, as much as the accurate classification of such evoked potentials remains…

Signal Processing · Electrical Eng. & Systems 2022-11-21 Okba Bekhelifi , Nasr-Eddine Berrached

The application of psychophysiology in human-computer interaction is a growing field with significant potential for future smart personalised systems. Working in this emerging field requires comprehension of an array of physiological…

Human-Computer Interaction · Computer Science 2016-09-05 Minna Huotilainen , Benjamin Cowley , Lauri Ahonen

Reliable detection of event-related potentials (ERPs) at the single-trial level remains a major challenge due to the low signal-to-noise ratio EEG recordings. In this work, we investigate whether incorporating prior knowledge about ERP…

Signal Processing · Electrical Eng. & Systems 2026-03-24 Marek Zylinski , Bartosz Tomasz Smigielski , Gerard Cybulski

Event-related potentials (ERPs) extracted from electroencephalography (EEG) data in response to stimuli are widely used in psychological and neuroscience experiments. A major goal is to link ERP characteristic components to subject-level…

Methodology · Statistics 2024-06-11 Cheng-Han Yu , Meng Li , Marina Vannucci

When using Head-Mounted Displays (HMDs), users may not always notice or report visual discomfort by blurred vision through unadjusted lenses, motion sickness, and increased eye strain. Current measures for visual discomfort rely on users'…

Human-Computer Interaction · Computer Science 2024-07-29 Francesco Chiossi , Yannick Weiss , Thomas Steinbrecher , Christian Mai , Thomas Kosch

Electroencephalography (EEG) has been widely used to study the relationship between naps and working memory, yet the effects of naps on distinct working memory tasks remain unclear. Here, participants performed word-pair and visuospatial…

Neurons and Cognition · Quantitative Biology 2023-11-16 Gi-Hwan Shin , Young-Seok Kweon , Heon-Gyu Kwak , Ha-Na Jo , Seong-Whan Lee

We propose a novel framework for modeling event-related potentials (ERPs) collected during reading that couples pre-trained convolutional decoders with a language model. Using this framework, we compare the abilities of a variety of…

Computation and Language · Computer Science 2019-04-03 Shaorong Yan , Aaron Steven White

Creativity is a core cognitive capacity underlying innovation and adaptive problem solving, yet how it is represented in the brain's intrinsic functional architecture is not fully understood. While resting-state fMRI studies have identified…

Neurons and Cognition · Quantitative Biology 2026-01-21 Samir Damji , Simrut Kurry , Shazia'Ayn Babul , Joydeep Bhattacharya , Naznin Virji-Babul

Many studies have analyzed working memory (WM) from electroencephalogram (EEG). However, little is known about changes in the brain neurodynamics among resting-state (RS) according to the WM process. Here, we identified frequency-specific…

Neurons and Cognition · Quantitative Biology 2022-12-13 Gi-Hwan Shin , Young-Seok Kweon , Heon-Gyu Kwak

The error-related potential (ErrP) is an event-related potential (ERP) evoked by an experimental participant's recognition of an error during task performance. ErrPs, originally described by cognitive psychologists, have been adopted for…

Machine Learning · Computer Science 2021-09-28 Yichen Tang , Jerry J. Zhang , Paul M. Corballis , Luke E. Hallum

Resting-state EEG (rs-EEG) has been demonstrated to aid in Parkinson's disease (PD) diagnosis. In particular, the power spectral density (PSD) of low-frequency bands ({\delta} and {\theta}) and high-frequency bands ({\alpha} and \b{eta})…

Signal Processing · Electrical Eng. & Systems 2023-03-03 Anna Kurbatskaya , Alberto Jaramillo-Jimenez , John Fredy Ochoa-Gomez , Kolbjørn Brønnick , Alvaro Fernandez-Quilez
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