Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Auditory Perception01:17

Auditory Perception

788
The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...
788
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

641
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
641
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.6K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Autonomy in learning: Predictability modulates the beneficial effect of choice on memory.

Memory & cognition·2026
Same author

Pupil dilation offers a time-window on prediction error.

eLife·2026
Same author

Investigating Cross-Cultural Vocal Emotion Recognition With an Affectively and Linguistically Balanced Design.

Language and speech·2025
Same author

Predictive processing: Shedding light on the computational processes underlying motivated behavior.

The Behavioral and brain sciences·2025
Same author

A cross-cultural comparison of intrinsic and extrinsic motivational drives for learning.

Cognitive, affective & behavioral neuroscience·2024
Same author

Defining key concepts for mental state attribution.

Communications psychology·2024

Related Experiment Video

Updated: Nov 17, 2025

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
08:08

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Published on: April 1, 2016

9.6K

Observed and Performed Error Signals in Auditory Lexical Decisions.

Duru G Özkan1, Mirjam Broersma2, Harold Bekkering3

  • 1Department of Psychology, Sapienza University of Rome, Italy; Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Netherlands.

Neuroscience
|February 12, 2021
PubMed
Summary

This study examined brain activity during an auditory word recognition task. While the predicted Error Related Negativity (ERN) was not found, a P300 component indicated attention during error processing.

Keywords:
P300auditory lexical decisionerror processingobservationperformance monitoring

More Related Videos

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.5K
Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

2.6K

Related Experiment Videos

Last Updated: Nov 17, 2025

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese
08:08

Comparing the Frequency Effect Between the Lexical Decision and Naming Tasks in Chinese

Published on: April 1, 2016

9.6K
Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
06:48

Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment

Published on: June 25, 2019

9.5K
Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
05:38

Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology

Published on: June 29, 2021

2.6K

Area of Science:

  • Cognitive Neuroscience
  • Psycholinguistics
  • Electrophysiology

Background:

  • Error processing in decision-making tasks is often studied using electroencephalography (EEG), revealing Error Related Negativity (ERN) and Error Positivity (Pe) components.
  • While ERN-Pe effects are known for visual tasks, less is understood about performance monitoring during auditory language processing.

Purpose of the Study:

  • To investigate error processing signatures in EEG during an auditory lexical decision task for both performers and observers.
  • To explore the presence of ERN-Pe components in observed language processing based on auditory input.

Main Methods:

  • Participants performed an auditory lexical decision task, distinguishing real words from non-words and pseudowords.
  • EEG data was recorded and analyzed for response-locked components, specifically focusing on error-related potentials.

Main Results:

  • The hypothesized ERN component related to errors was not observed.
  • A Pe-like effect and a significant P300 component were identified for errors.
  • Analysis suggested a P300 for errors and differences in brain activity before and after word offset.

Conclusions:

  • The findings suggest that the P300 component plays a role in attention during error processing in auditory word recognition.
  • The study highlights differences in neural signatures between performance and observation of errors in an auditory context.