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 Experiment Videos

Modeling complex tone perception: grouping harmonics with combination-sensitive neurons.

Andrei V Medvedev1, Faye Chiao, Jagmeet S Kanwal

  • 1Department of Neuroscience, Georgetown University Medical Center, 3900 Reservoir Road, Washington, DC 20007, USA.

Biological Cybernetics
|July 12, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Shedding Near-Infrared Light on Brain Networks.

Journal of radiology and radiation therapy·2026
Same author

Adult Zebrafish Engage in Path Integration-like Behavior When Exploring a Novel Environment.

bioRxiv : the preprint server for biology·2026
Same author

Power-to-power cross-frequency coupling as a novel approach for temporal lobe seizure detection and analysis.

Neuroscience informatics·2025
Same author

Complex Sound Discrimination in Zebrafish: Auditory Learning Within a Novel "Go/Go" Decision-Making Paradigm.

Animals : an open access journal from MDPI·2025
Same author

Power-to-power cross-frequency coupling as a novel approach for temporal lobe seizure detection and analysis.

bioRxiv : the preprint server for biology·2025
Same author

Pose Analysis in Free-Swimming Adult Zebrafish, Danio rerio: "Fishy" Origins of Movement Design.

Brain, behavior and evolution·2024
Same journal

Harmonic memory in phasor neural networks.

Biological cybernetics·2026
Same journal

Correction: Decreased spinal inhibition leads to undiversified locomotor patterns.

Biological cybernetics·2026
Same journal

Foundational issues of network models in biology.

Biological cybernetics·2026
Same journal

Dynamical mechanisms for coordinating long-term working memory based on the precision of spike-timing in cortical neurons.

Biological cybernetics·2026
Same journal

Distinct dopaminergic spike-timing-dependent plasticity rules are suited to different functional roles.

Biological cybernetics·2026
Same journal

Fluctuation-response relations for a two-stage population of spiking neurons stimulated by common noise.

Biological cybernetics·2026
See all related articles

Auditory system spectral grouping relies on associative learning and combination-sensitivity to process complex sounds. This mechanism enables pitch perception, even for missing fundamental frequencies.

Area of Science:

  • Auditory Neuroscience
  • Computational Neuroscience
  • Psychoacoustics

Background:

  • The auditory system processes complex sounds by grouping harmonics.
  • This spectral grouping simplifies auditory processing and sensory integration.
  • Understanding the neural mechanisms of spectral grouping is crucial.

Purpose of the Study:

  • To investigate the role of associative learning and combination-sensitivity in spectral grouping.
  • To model how auditory neurons achieve multifrequency tuning.
  • To explore the neural basis for pitch perception of harmonic complexes.

Main Methods:

  • Developed a realistic computational model of auditory neurons.
  • Simulated combination-sensitivity using Hebbian and associative synaptic plasticity.

Related Experiment Videos

  • Incorporated parallel tonotopic inputs and network dynamics.

    • Main Results:

    • Model neurons in higher layers showed emergent multifrequency tuning.
    • The network demonstrated "combination-sensitivity" to harmonic combinations.
    • The model successfully recognized pitch even with a missing fundamental frequency.

    Conclusions:

    • Associative learning and combination-sensitivity are key to spectral grouping.
    • The proposed neural network model explains emergent multifrequency tuning.
    • This framework advances our understanding of pitch perception in complex sounds.