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Related Concept Videos

Hearing

Hearing

When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.

Perceiving Loudness, Pitch, and Location

Perceiving Loudness, Pitch, and Location

The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...

Auditory Pathway

Auditory Pathway

Auditory pathways constitute the complex neural circuits responsible for transmitting and interpreting auditory information from the peripheral auditory system to the brain. Sound waves are initially captured by the outer ear, funneled through the ear canal, and reach the tympanic membrane (eardrum). These vibrations are transmitted via the middle ear's ossicles to the inner ear's cochlea.
When viewed cross-sectionally, the cochlea reveals the scala vestibuli and scala tympani flanking...

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Related Experiment Video

Updated: Jul 30, 2025

A Method to Study Adaptation to Left-Right Reversed Audition

A Method to Study Adaptation to Left-Right Reversed Audition

Published on: October 29, 2018

Listen to the Brain-Auditory Sound Source Localization in Neuromorphic Computing Architectures.

Daniel Schmid¹, Timo Oess², Heiko Neumann¹

¹Institute of Neural Information Processing, Ulm University, James-Franck-Ring, 89081 Ulm, Germany.

Sensors (Basel, Switzerland)

|May 13, 2023

Summary

This summary is machine-generated.

This study presents a novel method for mapping neural sound source localization (SSL) models to neuromorphic hardware, enabling efficient, event-based sensory processing. The approach achieves perfect accuracy on synthetic data and demonstrates feasibility on real-world applications.

Keywords:

SpiNNaker TrueNorth interaural level difference lateral superior olive neuromorphic computing neuromorphic hardware sound source localization

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Last Updated: Jul 30, 2025

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Published on: October 11, 2017

Area of Science:

Neuromorphic Engineering
Computational Neuroscience
Auditory Processing

Background:

Conventional sensory processing is inefficient due to uniform sampling, leading to redundant data.
Neuromorphic computing offers an alternative by mimicking biological systems with event-based hardware.
Sound source localization (SSL) is a key auditory processing task where efficiency gains are desirable.

Purpose of the Study:

To propose a generic approach for mapping biologically inspired neural networks to neuromorphic hardware for SSL.
To demonstrate the implementation of a neural SSL model on two distinct neuromorphic platforms.
To evaluate the performance of the implemented models using synthetic and real-world auditory data.

Main Methods:

Modeled neural mechanisms of SSL based on interaural level difference (ILD).
Identified and transformed computational motifs into spike-based components for neuromorphic implementation.
Mapped the SSL model to IBM TrueNorth and SpiNNaker neuromorphic hardware platforms.

Main Results:

Both neuromorphic implementations achieved 100% accuracy for synthetic sound stimuli.
Real-world experiments showed varying performance: TrueNorth (78% accuracy, 41° RMSE, 18° MAE) and SpiNNaker (13% accuracy, 39° RMSE, 29° MAE).
The study successfully demonstrated the same SSL model's implementation across different neuromorphic architectures.

Conclusions:

The proposed mapping approach facilitates hardware-independent neural SSL.
This work paves the way for efficient, biologically inspired auditory processing on diverse neuromorphic systems.
Further optimization is needed for real-world performance, particularly on the SpiNNaker platform.