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

Hearing01:31

Hearing

58.4K
When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
58.4K
Auditory Pathway01:15

Auditory Pathway

8.5K
Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...
8.5K
Auditory Perception01:17

Auditory Perception

1.4K
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...
1.4K
Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

1.3K
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...
1.3K
Chunking and Rehearsal in Sensory Memory01:22

Chunking and Rehearsal in Sensory Memory

697
Improving short-term memory can be achieved through techniques like chunking and rehearsal. Chunking involves organizing information into larger, more manageable units. This technique is particularly useful for information that exceeds the typical memory span of between five and nine items. For instance, logging into an online account with a password like "ta89vq0179gz" involves grouping letters and numbers into three chunks—ta89, vq01, and 79gz. It makes large amounts of...
697
Perception of Sound Waves01:01

Perception of Sound Waves

5.9K
The human ear is not equally sensitive to all frequencies in the audible range. It may perceive sound waves with the same pressure but different frequencies as having different loudness. Moreover, the perception of sound waves depends on the health of an individual's ears, which decays with age. The health of one's ears may also be affected by regular exposure to loud noises.
The pitch of a sound depends on the frequency and the pressure amplitude of the source. Two sounds of the same...
5.9K

You might also read

Related Articles

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

Sort by
Same author

Auditory regularity detection in the ferret.

The Journal of the Acoustical Society of America·2026
Same author

The Effect of Previously Encountered Sensory Information on Neural Representations of Predictability: Evidence From Human EEG.

The European journal of neuroscience·2025
Same author

How strong is the rhythm of perception? A registered replication of Hickok <i>et al</i>. (2015).

Royal Society open science·2025
Same author

Probing sensitivity to statistical structure in rapid sound sequences using deviant detection tasks.

Journal of experimental psychology. Learning, memory, and cognition·2025
Same author

Perceptual learning of modulation filtered speech.

Journal of experimental psychology. Human perception and performance·2025
Same author

Convergent neural signatures of speech prediction error are a biological marker for spoken word recognition.

Nature communications·2024
Same journal

The exquisite mechanics of a tsetse bite.

eLife·2026
Same journal

Distinct involvements of the subthalamic nucleus subpopulations in reward-biased decision-making in monkeys.

eLife·2026
Same journal

Pink1-mediated mitophagy in the endothelium releases proteins encoded by mitochondrial DNA and activates neutrophil responses during inflammation.

eLife·2026
Same journal

Restraint of melanoma progression by cells in the local skin environment.

eLife·2026
Same journal

Brawn before bite in endemic Asian eutherian mammals after the end-Cretaceous extinction.

eLife·2026
Same journal

Experimental evolution to thermal stress indicates climate resilience in a cosmopolitan arthropod.

eLife·2026
See all related articles

Related Experiment Video

Updated: Mar 15, 2026

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

17.0K

Detecting and representing predictable structure during auditory scene analysis.

Ediz Sohoglu1, Maria Chait1

  • 1UCL Ear Institute, University College London, London, United Kingdom.

Elife
|September 8, 2016
PubMed
Summary
This summary is machine-generated.

Predicting auditory patterns enhances auditory scene analysis (ASA). Our study shows regular sound sequences improve detection of new sounds, implicating temporal predictability in auditory perception.

Keywords:
attentionchange detectionhumanmagnetoencephalographyneurosciencepredictive codingscene analysissurprise

More Related Videos

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

957
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.3K

Related Experiment Videos

Last Updated: Mar 15, 2026

Infant Auditory Processing and Event-related Brain Oscillations
06:34

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

17.0K
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

957
Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

15.3K

Area of Science:

  • Neuroscience
  • Auditory Perception
  • Cognitive Psychology

Background:

  • Auditory scene analysis (ASA) involves segregating concurrent sound sources.
  • Sensitivity to statistical regularities in auditory input may aid ASA.

Purpose of the Study:

  • To investigate how sensitivity to input statistics facilitates auditory scene analysis.
  • To determine the neural correlates of processing predictable versus random auditory scenes.

Main Methods:

  • Psychophysical experiments measuring detection accuracy and reaction time.
  • Magnetoencephalography (MEG) to record brain activity in passive and active listening conditions.

Main Results:

  • Listeners were faster and more accurate in detecting new sound sources in temporally regular (REG) scenes compared to random (RAND) scenes.
  • MEG revealed increased sustained activity in auditory and parietal cortex for REG scenes, emerging around 400 ms after scene onset.
  • Appearance of new sources in REG scenes elicited stronger responses than in RAND scenes, with attention modulating this effect.

Conclusions:

  • Temporal predictability in auditory scenes enhances auditory scene analysis.
  • A mechanism tracking the predictability of concurrent sound sources facilitates both active and passive auditory scene analysis.
  • Attention appears to modulate the processing of predictability, reducing 'surprise' from unexpected auditory events.