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

Auditory dynamic range derived from the mean rate-intensity function in the cat

L Nizami1, B Schneider

  • 1Department of Psychology, Erindale College, University of Toronto, Mississauga, Ontario, Canada.

Mathematical Biosciences
|April 1, 1997
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

Transesophageal echocardiography to assess embolic risk in patients with atrial fibrillation. ELAT Study Group. Embolism in Left Atrial Thrombi.

Annals of internal medicine·1998
Same author

[Symptomatic local therapy of the uncomplicated common cold. Multicenter controlled study of the effectiveness of an antiseptic lozenge].

Fortschritte der Medizin·1998
Same author

Pre-steady state of reaction of nucleoside diphosphate kinase with anti-HIV nucleotides.

The Journal of biological chemistry·1998
Same author

Role of Mg2+ in nucleoside diphosphate kinase autophosphorylation.

Archives of biochemistry and biophysics·1998
Same author

Subdural hygromas after bone marrow transplantation: results of a prospective study.

Transplantation·1998
Same author

[Hydro-CT in detection and staging of pancreatic carcinoma].

Der Radiologe·1998

This study addresses the "dynamic range problem" in auditory perception by modeling neural afferent variability. Local pooling of neural signals significantly expands the dynamic range, mitigating perception limitations.

Area of Science:

  • Auditory Neuroscience
  • Psychoacoustics
  • Computational Auditory Neuroscience

Background:

  • Perception of loudness change exceeds single auditory nerve fiber capabilities, known as the "dynamic range problem."
  • Previous models overlooked variability in afferent properties like dynamic range, threshold, and saturation rate.

Purpose of the Study:

  • To investigate how neural parameter variability impacts the overall dynamic range of auditory perception.
  • To develop a computational model accounting for afferent characteristic distributions.

Main Methods:

  • Developed a logistic rate-intensity function incorporating dynamic range, threshold, spontaneous, and saturation rates.
  • Statistically averaged equations over parameter distributions for different spontaneous rate groups.

Related Experiment Videos

  • Computed discriminability for a basilar membrane patch, analyzing multi-channel pooling effects.

    • Main Results:

    • The model's upper dynamic range limit for an 8 kHz critical band was 89 dB SPL.
    • Multi-channel models (2, 4, 7 channels) showed limited improvement, with seven channels approaching ideal observer performance.
    • Variability in fiber dynamic ranges had minimal impact on overall dynamic range.

    Conclusions:

    • Local pooling of neural signals effectively mitigates the auditory "dynamic range problem" when neural parameter distributions are considered.
    • Sloping-saturating units contribute less to discriminability than previously assumed.