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

Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

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 identifying...

You might also read

Related Articles

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

Sort by
Same author

Contributions of Sound Localization Cues to Azimuth Tuning in the Auditory Midbrain.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2025
Same author

Limitations on Temporal Processing by Cochlear Implant Users: A Compilation of Viewpoints.

Trends in hearing·2025
Same author

Head-related transfer functions of rabbits within the front horizontal plane.

Hearing research·2023
Same author

Head-related transfer functions of rabbits within the front horizontal plane.

bioRxiv : the preprint server for biology·2023
Same author

Effect of Reverberation on Neural Responses to Natural Speech in Rabbit Auditory Midbrain: No Evidence for a Neural Dereverberation Mechanism.

eNeuro·2023
Same author

Neural coding of dichotic pitches in auditory midbrain.

Journal of neurophysiology·2023
Same journal

Endogenous peptide derived from c-Cbl-associated protein counteracts its inhibitory effect on enteric neural crest cell colonization in Hirschsprung disease.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Drowsiness alters the neural dynamics but not the core computations of multisensory integration.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

A Matter of Parameters: Tailored Transcranial Focused Ultrasound Enhances Cortico-Thalamo-Cortical Circuit Resonance.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Proactive visual and motor prioritization differentially scale with cue reliability.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Erratum: Yao et al., "Estrogen Regulates Bcl-w and Bim Expression: Role in Protection against β-Amyloid Peptide-Induced Neuronal Death".

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
Same journal

Erratum: L'Episcopo et al., "Plasticity of Subventricular Zone Neuroprogenitors in MPTP (1-Methyl-4-Phenyl-1,2,3,6-Tetrahydropyridine) Mouse Model of Parkinson's Disease Involves Cross Talk between Inflammatory and Wnt/β-Catenin Signaling Pathways: Functional Consequences for Neuroprotection and Repair".

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026
See all related articles

Related Experiment Video

Updated: May 7, 2026

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

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

Decoding sound source location and separation using neural population activity patterns.

Mitchell L Day1, Bertrand Delgutte

  • 1Eaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston, Massachusetts 02114, Department of Otology and Laryngology, Harvard Medical School, Boston, Massachusetts 02115, and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|October 4, 2013
PubMed
Summary
This summary is machine-generated.

A new maximum-likelihood decoder accurately decodes sound source location using neural activity patterns in the inferior colliculus (IC). This model explains sound localization behavior and distinguishes single from multiple sound sources.

More Related Videos

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

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

Related Experiment Videos

Last Updated: May 7, 2026

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

Infant Auditory Processing and Event-related Brain Oscillations

Published on: July 1, 2015

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

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

Area of Science:

  • Neuroscience
  • Auditory Perception
  • Computational Neuroscience

Background:

  • The central nervous system's strategy for decoding sensory stimuli, like sound source location, from neural population responses is debated.
  • Existing models of sound localization struggle with accurate source identification due to neural tuning variations.

Purpose of the Study:

  • To investigate the effectiveness of different decoding models for sound localization.
  • To identify the neural mechanisms underlying accurate sound source localization and segregation.

Main Methods:

  • Analyzing average firing rates of neurons in the inferior colliculus (IC) of awake rabbits.
  • Comparing prevailing decoding models (summed population activity, population vector) with a maximum-likelihood pattern decoder.
  • Evaluating decoder performance against psychophysical data and behavioral predictions.

Main Results:

  • Prevailing models failed to accurately localize sound sources due to population tuning heterogeneity.
  • A maximum-likelihood pattern decoder accurately localized sources in the contralateral hemifield, matching psychophysical precision.
  • The pattern decoder predicted behavior consistent with the duplex theory and distinguished single from concurrent sound sources.

Conclusions:

  • Neural activity patterns in the IC, decoded via maximum-likelihood, provide a precise mechanism for sound localization.
  • The decoder's sensitivity to interaural decorrelation explains the segregation of concurrent sound sources.
  • Distinct IC activity patterns offer a neural correlate for real-world sound source segregation and localization.