Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Echo

Echo

The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case, then the...

The Cochlea

The Cochlea

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.

You might also read

Related Articles

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

Sort by

Same author

Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same author

Detection probability and density estimation of fin whales by a Seaglider.

The Journal of the Acoustical Society of America·2022

Same author

The Lombard effect in singing humpback whales: Source levels increase as ambient ocean noise levels increase.

The Journal of the Acoustical Society of America·2020

Same author

Dolphin echo-delay resolution measured with a jittered-echo paradigm.

The Journal of the Acoustical Society of America·2020

Same author

Lombard effect: Minke whale boing call source levels vary with natural variations in ocean noise.

The Journal of the Acoustical Society of America·2020

Same author

Comparison of fin whale 20 Hz call detections by deep-water mobile autonomous and stationary recorders.

The Journal of the Acoustical Society of America·2020

Search research articles

Related Experiment Video

Updated: Jul 13, 2026

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy

Published on: June 27, 2025

Using a binaural biomimetic array to identify bottom objects ensonified by echolocating dolphins.

David A Helweg¹, Patrick W Moore, Stephen W Martin

¹Code 235, Space and Naval Warfare Systems Center, San Diego, San Diego, CA 92152, USA. david helweg@usgs.gov

Bioinspiration & Biomimetics

|August 3, 2007

Summary

This summary is machine-generated.

This study developed a dolphin biomimetic sonar for object identification. Beam-forming techniques with a learning vector quantization network significantly improved identification accuracy, demonstrating the benefits of multi-element signal processing.

More Related Videos

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

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: Jul 13, 2026

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy

Electroencephalographic Signal Acquisition Framework for Neurodiverse: A Case Study of Dolphin-Assisted Therapy

Published on: June 27, 2025

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

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:

Biomimetic sonar technology
Bioacoustics and signal processing
Machine learning for target recognition

Background:

Dolphins utilize sophisticated biosonar for navigation and object detection.
Understanding dolphin sonar processing can inspire advanced artificial systems.
Previous research has explored artificial sonar but lacked biomimetic approaches.

Purpose of the Study:

To develop and evaluate a dolphin biomimetic sonar system.
To investigate signal processing methods for object identification using biomimetic sonar data.
To compare the performance of different neural network architectures and signal processing schemes.

Main Methods:

A bottlenose dolphin was trained to ensonify metallic objects and substrate in shallow water.
Echo data were collected using a two-element ('binaural') receive array.
Four neural network architectures (backpropagation, LVQ, genetic learning, probabilistic) were used for identification.
Five signal processing schemes, including binaural methods and a monaural benchmark, were evaluated.

Main Results:

All tested signal processing schemes achieved above-chance identification accuracy with LVQ and backpropagation networks.
Binaural processing techniques, specifically beam-forming and spectral concatenation, outperformed the monaural benchmark.
The learning vector quantization network combined with beam-formed data yielded the highest object identification performance.
Improved sensitivity and reduced bias were observed with multi-element signal processing.

Conclusions:

The developed dolphin biomimetic sonar effectively generated data for studying object identification.
Multi-element signal processing significantly enhances object identification capabilities in sonar systems.
Biomimetic approaches, particularly those inspired by dolphin sonar, offer a promising direction for advanced sonar development.