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

Auditory Perception

Auditory Perception

The auditory system is essential for sound perception, utilizing various critical structures. When sound waves enter the outer ear, they travel through the ear canal and cause the eardrum to vibrate. These vibrations are then transmitted to the middle ear, where three tiny bones – the malleus, incus, and stapes – amplify the sound. This amplification is crucial, as it ensures that the sound vibrations are strong enough to be conveyed to the inner ear. These vibrations then reach the...

You might also read

Related Articles

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

Sort by

Same author

Speech Acoustic Markers Can Detect Mild Cognitive Impairment in Parkinson's Disease.

IEEE journal of selected topics in signal processing·2026

Same author

A Brain-Computer Interface for Improving Auditory Attention in Multi-Talker Environments.

IEEE access : practical innovations, open solutions·2025

Same author

Decoding intended speech with an intracortical brain-computer interface in a person with longstanding anarthria and locked-in syndrome.

bioRxiv : the preprint server for biology·2025

Same author

Collection and Analysis of Repeated Speech Samples: Methodological Framework and Example Protocol.

JMIR research protocols·2025

Same author

Estimated dose-response relationship between impulse noise exposure and temporary threshold shift in tactical training environments.

The Journal of the Acoustical Society of America·2025

Same author

An Emotion-Driven Vocal Biomarker-Based PTSD Screening Tool.

IEEE open journal of engineering in medicine and biology·2024

Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026

Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026

Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026

Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026

Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026

Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 11, 2026

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

A Brain-Computer Interface for Improving Auditory Attention in Multi-Talker Environments.

S Haro^1,2,3, C Beauchene¹, T F Quatieri^1,2

¹Human Health & Performance Systems Group, MIT Lincoln Laboratory, Lexington, MA, USA.

Biorxiv : the Preprint Server for Biology

|March 31, 2025

Summary

This summary is machine-generated.

This study used a closed-loop neurofeedback system to improve auditory attention decoding (AAD) in noisy environments. The system successfully suppressed neural tracking of the unattended speaker, aiding focus on the desired talker.

More Related Videos

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

Published on: December 5, 2014

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

Related Experiment Videos

Last Updated: Apr 11, 2026

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

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

A Dual Task Procedure Combined with Rapid Serial Visual Presentation to Test Attentional Blink for Nontargets

Published on: December 5, 2014

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control

Published on: July 5, 2015

Area of Science:

Neuroscience
Auditory Perception
Brain-Computer Interfaces

Background:

Auditory attention decoding (AAD) algorithms use neural signals to identify intended speakers in multi-talker environments.
Listener attention can be suboptimal in noisy environments due to distractors, impacting AAD accuracy.
Enhancing real-time auditory attention and understanding its neural basis is crucial for improving communication.

Purpose of the Study:

To enhance a listener's real-time attention to a target speaker in a two-talker scenario.
To investigate the neural mechanisms underlying improved auditory attention through neurofeedback.
To establish a performance benchmark for auditory attention training paradigms.

Main Methods:

A closed-loop neurofeedback system was developed using a non-invasive, wet electroencephalography (EEG) brain-computer interface (BCI).
Real-time auditory attention decoding accuracy guided acoustic feedback, attenuating the ignored talker as accuracy improved.
A one-hour session included decoder training and observation of neural decoding changes.

Main Results:

Evidence of suppressed neural tracking of the unattended talker was found (p = 0.012) between the first and second halves of the neurofeedback session.
No statistically significant increase in neural tracking of the attended talker was observed.
The study established a single-session performance benchmark for a linear decoder in a closed-loop neurofeedback system.

Conclusions:

The developed closed-loop neurofeedback system demonstrates potential for enhancing auditory attention.
The findings provide a foundation for future multi-session clinical trials of auditory attention training.
This research contributes to understanding the neural basis of attention in complex auditory environments.