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

Pharmacodynamic Models: Additive and Proportional Drug Effect Model01:09

Pharmacodynamic Models: Additive and Proportional Drug Effect Model

Drug response models describe how pharmacological agents interact with biological systems to produce measurable effects. Baseline responses are inherent physiological activities without a drug significantly influencing the observed pharmacological outcomes. Depending on the drug response model employed, these baseline responses may combine with the drug's effect in either an additive or proportional manner.Additive Drug Response ModelIn the additive model, the drug effect is independent of the...

You might also read

Related Articles

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

Sort by
Same author

Enhancing museum experiences: Using immersive environments to evaluate soundscape preferencesa).

The Journal of the Acoustical Society of America·2025
Same author

Spatially-aware group interaction design framework for collaborative room-oriented immersive systems.

Applied ergonomics·2023
Same author

Walkable auralizations for experiential learning in an immersive classroom.

The Journal of the Acoustical Society of America·2022
Same author

Open set classification strategies for long-term environmental field recordings for bird species recognition.

The Journal of the Acoustical Society of America·2022
Same author

Classifying the emotional speech content of participants in group meetings using convolutional long short-term memory network.

The Journal of the Acoustical Society of America·2021
Same author

How to pick a peak: Pitch and peak shifting in temporal models of pitch perception.

The Journal of the Acoustical Society of America·2020
Same journal

High-resolution depth estimation for multiple wideband sources in deep sea via sparse Bayesian learninga).

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

Depression markers in speech: An approach based on tract variables dynamics.

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

The oyster toadfish (Opsanus tau) alters active and diurnal calling amid vessel noise in New York City.

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

Experimental noise characterisation of phase-locked tandem-rotor in edgewise flight.

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

The tune-text-temporal synergy: Prosodic effects of final segmental weakening in Neapolitan.

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

Monitoring vessel movement above critical offshore infrastructure using distributed acoustic sensing.

The Journal of the Acoustical Society of America·2026
See all related articles

Related Experiment Video

Updated: May 9, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

A precedence effect model to simulate localization dominance using an adaptive, stimulus parameter-based inhibition

Jonas Braasch1

  • 1Ca3rL, School of Architecture, Rensselaer Polytechnic Institute, Troy, New York 12180, USA. braasj@rpi.edu

The Journal of the Acoustical Society of America
|July 19, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a new model for sound localization that accurately handles truncated sounds in reverberant environments. The autocorrelation mechanism effectively processes leading and lagging signals, improving human auditory perception simulation.

More Related Videos

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
08:28

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Published on: March 3, 2023

The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents
10:27

The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents

Published on: April 19, 2019

Related Experiment Videos

Last Updated: May 9, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms
08:28

Automated Multimodal Stimulation and Simultaneous Neuronal Recording from Multiple Small Organisms

Published on: March 3, 2023

The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents
10:27

The Power of Interstimulus Interval for the Assessment of Temporal Processing in Rodents

Published on: April 19, 2019

Area of Science:

  • Acoustics
  • Auditory Perception
  • Signal Processing

Background:

  • Precedence-effect models simulate human sound localization in reverberant conditions.
  • Existing models struggle with ongoing stimuli that have truncated on/offsets.
  • Human listeners can localize sound sources with reflections in such conditions.

Purpose of the Study:

  • To develop a model that accurately simulates human sound localization for truncated stimuli in reverberant environments.
  • To address the limitations of current precedence-effect models.

Main Methods:

  • Utilized an autocorrelation mechanism to estimate delay and amplitude ratio between leading and lagging signals.
  • Employed an inverse filter to eliminate the lag signal.
  • Integrated with a basic auditory periphery model (gammatone filter bank, half-wave rectification).

Main Results:

  • The proposed algorithm robustly localizes sound sources with on/offset truncated stimuli.
  • The model successfully simulates psychoacoustic data from human listeners.
  • Demonstrated the Haas effect, a phenomenon related to sound localization.

Conclusions:

  • The developed model provides a robust solution for sound localization with truncated stimuli.
  • It enhances the simulation of human auditory perception in challenging acoustic environments.
  • The model accurately predicts psychoacoustic data and demonstrates key auditory effects.