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

Neuroplasticity01:01

Neuroplasticity

2.6K
Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
2.6K
Hearing01:31

Hearing

47.9K
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.
47.9K
The Cochlea01:13

The Cochlea

40.9K
The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
40.9K
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
Auditory Pathway01:15

Auditory Pathway

7.1K
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...
7.1K
Hair Cells01:22

Hair Cells

36.0K
Hair cells are the sensory receptors of the auditory system—they transduce mechanical sound waves into electrical energy that the nervous system can understand. Hair cells are located in the organ of Corti within the cochlea of the inner ear, between the basilar and tectorial membranes. The actual sensory receptors are called inner hair cells. The outer hair cells serve other functions, such as sound amplification in the cochlea, and are not discussed in detail here.
36.0K

You might also read

Related Articles

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

Sort by
Same author

Spatially structured heterogeneity shapes large-scale cortical dynamics in a model of the human cortex.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Rhythmicity and Trait Absorption Are Linked to Nonordinary States of Consciousness.

Annals of the New York Academy of Sciences·2026
Same author

Magnetoelectric microrobots for spinal cord injury regeneration.

Nature materials·2026
Same author

Neural adaptation in brain responses to vocal and emotional sounds in school-age children.

Cortex; a journal devoted to the study of the nervous system and behavior·2026
Same author

Auditory Sensitivity in Autism: A Systematic Review of Mismatch Negativity and Mismatch Field Responses.

Autism research : official journal of the International Society for Autism Research·2026
Same author

Decreased kinesiophobia with virtual embodiment for post-surgical knee rehabilitation: a randomized controlled trial.

Journal of orthopaedic surgery and research·2026

Related Experiment Video

Updated: Apr 27, 2026

A Method to Study Adaptation to Left-Right Reversed Audition
07:14

A Method to Study Adaptation to Left-Right Reversed Audition

Published on: October 29, 2018

6.1K

Neuronal adaptation, novelty detection and regularity encoding in audition.

Manuel S Malmierca1, Maria V Sanchez-Vives2, Carles Escera3

  • 1Auditory Neurophysiology Unit, Laboratory for the Neurobiology of Hearing, Institute of Neuroscience of Castilla y León, University of Salamanca Salamanca, Spain ; Department of Cell Biology and Pathology, Faculty of Medicine, University of Salamanca Salamanca, Spain.

Frontiers in Systems Neuroscience
|July 11, 2014
PubMed
Summary
This summary is machine-generated.

This review explores how the brain identifies and reacts to unexpected sounds. It examines how auditory systems encode patterns and detect changes, using both human brain wave recordings and animal single-cell data to explain these complex survival processes.

Keywords:
auditorydeviance detectionmiddle latency response (MLR)mismatch negativity (MMN)potassium channelsregularitysensory adaptationstimulus-specific adaptation (SSA)sensory processingmismatch negativityacoustic environmentneural encoding

Frequently Asked Questions

More Related Videos

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

9.4K
A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents
09:13

A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents

Published on: May 3, 2012

15.0K

Related Experiment Videos

Last Updated: Apr 27, 2026

A Method to Study Adaptation to Left-Right Reversed Audition
07:14

A Method to Study Adaptation to Left-Right Reversed Audition

Published on: October 29, 2018

6.1K
A Method for Tracking the Time Evolution of Steady-State Evoked Potentials
12:03

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

9.4K
A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents
09:13

A Fully Automated and Highly Versatile System for Testing Multi-cognitive Functions and Recording Neuronal Activities in Rodents

Published on: May 3, 2012

15.0K

Area of Science:

  • Auditory neuroscience and sensory processing
  • Neuronal adaptation mechanisms in systems biology

Background:

Understanding how brains identify unexpected sounds remains a complex challenge for sensory neuroscience. Prior research has shown that survival depends on rapid reactions to acoustic changes. That uncertainty drove interest in how the auditory system filters incoming signals. No prior work had resolved the full hierarchy of these detection processes. This gap motivated a synthesis of current perspectives on auditory processing. It was already known that sensitivity to novelty begins in the midbrain. Prior research has shown that neural encoding of regularities supports this function. This review addresses how these mechanisms integrate to guide behavioral responses.

Purpose Of The Study:

This review aims to clarify the mechanisms the auditory system uses to extract relevant information from complex environments. The authors seek to explain how brains identify unexpected events amidst constant acoustic input. This problem involves understanding how sensory systems prioritize behavioral relevance for survival. The motivation stems from a need to integrate disparate findings across human and animal research. Researchers intend to map the relationship between cellular adaptation and larger-scale neural potentials. They examine how the brain encodes acoustic regularities to facilitate novelty detection. This work addresses the gap in understanding the hierarchy of auditory processing. The authors provide a structured overview of current theoretical and empirical advances.

Main Methods:

This review approach synthesizes findings from diverse experimental paradigms. The authors evaluate non-invasive human electrophysiological recordings alongside invasive animal studies. They analyze summed electrical potentials to characterize population-level responses. The investigation also incorporates single-neuron activity measurements from cortical and subcortical regions. Researchers compare stimulus-specific neural adaptation across different species and brain areas. They examine theoretical frameworks to explain how these biological signals emerge. The study design focuses on linking cellular phenomena to behavioral outcomes. This comprehensive synthesis provides a unified view of sensory change detection.

Main Results:

The literature indicates that sensitivity to acoustic novelty originates as early as the auditory midbrain. Findings demonstrate that stimulus-specific neural adaptation acts as a key driver for identifying unexpected events. Data show that human mismatch negativity correlates with selective cellular responses observed in animal models. The review highlights that regularity encoding is a consistent feature across multiple levels of the auditory pathway. Evidence suggests that middle latency responses provide insight into these rapid sensory processing stages. Results confirm that neural systems prioritize relevant information through the suppression of repetitive inputs. The authors report that theoretical models successfully predict many observed novelty responses. Synthesis of these studies reveals a hierarchical organization for processing environmental sounds.

Conclusions:

The authors propose that stimulus-specific neural adaptation serves as a primary mechanism for novelty detection. They suggest that these encoding properties emerge early within subcortical structures. The review indicates that human mismatch negativity reflects these underlying cellular processes. Researchers highlight that current theoretical models align with observed single-neuron responses. The synthesis implies that regularity encoding is a fundamental feature of auditory systems. Authors conclude that integrating animal and human data clarifies how the brain prioritizes relevant stimuli. They suggest that future investigations should focus on the link between midbrain activity and cortical perception. The evidence confirms that sensory systems are highly tuned to environmental changes.

The researchers propose that stimulus-specific neural adaptation enables the brain to filter repetitive inputs. This process highlights unexpected sounds by reducing responses to frequent stimuli, which allows the auditory system to prioritize potentially relevant environmental changes for survival.

Mismatch negativity represents a specific electrical potential recorded in humans. It serves as a non-invasive marker for detecting acoustic irregularities, which researchers link to the cellular adaptation observed in animal models.

The authors note that encoding properties present in the auditory midbrain are necessary for early sensory processing. This subcortical activity provides the foundation for more complex cortical responses to environmental stimuli.

Single-neuron activity provides high-resolution data on how individual cells respond to specific sound patterns. This information allows scientists to bridge the gap between cellular adaptation and larger-scale human brain potentials.

Enhanced middle latency responses serve as a physiological measurement of early auditory processing. These signals help researchers track how the brain registers sound changes before they reach higher-level cognitive centers.

The authors propose that the auditory system functions as a predictive processor. They claim that this architecture allows organisms to efficiently allocate attention to significant events while ignoring stable background noise.