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Lateralization

Lateralization

Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.

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 the...

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Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

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A biologically inspired spiking neural network for sound source lateralization.

Kyriakos Voutsas¹, Jürgen Adamy

¹Control Theory and Robotics Laboratory, Darmstadt University of Technology, Darmstadt 64283, Germany. kvoutsas@rtr.tu-darmstadt.de

IEEE Transactions on Neural Networks

|December 7, 2007

Summary

This study introduces the binaural sound source lateralization neural network (BiSoLaNN), a spiking neural network inspired by auditory system research. BiSoLaNN accurately localizes sound sources, aiding both neuroscience understanding and robotic applications.

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Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

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Area of Science:

Computational neuroscience
Auditory system modeling
Spiking neural networks

Background:

The superior olivary complex (SOC) and inferior colliculus (IC) play crucial roles in auditory processing and sound localization.
Existing models often simplify the complex neural mechanisms involved in binaural hearing.

Purpose of the Study:

To present a novel spiking neural network, the binaural sound source lateralization neural network (BiSoLaNN).
To simulate detailed neural mechanisms within the SOC and IC for sound localization.
To explore the model's utility in understanding auditory system function and technical applications.

Main Methods:

Developed a spiking neural network (BiSoLaNN) incorporating complex neural models.
Modeled excitatory and inhibitory ipsilateral and contralateral influences.
Utilized a single delay line originating from the contralateral side for azimuthal localization.

Main Results:

The BiSoLaNN achieves sharp azimuthal localization of sound sources.
The model effectively simulates key neural mechanisms of the auditory system.
Demonstrated the model's potential for both scientific understanding and technical implementation.

Conclusions:

The BiSoLaNN is a viable model for understanding auditory neural mechanisms.
The network shows promise for practical sound source localization tasks, including robotic applications like the Darmstadt robotic head (DRH).