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A Biologically Inspired Spiking Neural Network for Sound Source Lateralization

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TLDR
It will be shown that the proposed model can be used both for purposes of understanding the mechanisms of an NN of the auditory system and for sound source lateralization tasks in technical applications, e.g., its use with the Darmstadt robotic head.
Abstract
In this paper, a binaural sound source lateralization spiking neural network (NN) will be presented which is inspired by most recent neurophysiological studies on the role of certain nuclei in the superior olivary complex (SOC) and the inferior colliculus (IC). The binaural sound source lateralization neural network (BiSoLaNN) is a spiking NN based on neural mechanisms, utilizing complex neural models, and attempting to simulate certain parts of nuclei of the auditory system in detail. The BiSoLaNN utilizes both excitatory and inhibitory ipsilateral and contralateral influences arrayed in only one delay line originating in the contralateral side to achieve a sharp azimuthal localization. It will be shown that the proposed model can be used both for purposes of understanding the mechanisms of an NN of the auditory system and for sound source lateralization tasks in technical applications, e.g., its use with the Darmstadt robotic head (DRH).

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References
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Book

Spatial Hearing: The Psychophysics of Human Sound Localization

Jens Blauert
TL;DR: In this article, the physics of the external ear (transfer functions of external ear, area function and termination of the ear canal, analysis of transfer characteristics) evaluation of monaural attributes of ear input signals (lateralization and multiple auditory events, summing localization and the law of the first wavefront, inhibition of the primary sound) two sound sources radiating partially coherent or incoherent signals (the influence of the degree of coherence, binaural signal detection) more than two sound source and diffuse sound fields.
Journal ArticleDOI

A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity

TL;DR: In this article, a mixed-mode analog/digital VLSI device comprising an array of leaky integrate-and-fire (I&F) neurons, adaptive synapses with spike-timing dependent plasticity, and an asynchronous event based communication infrastructure is presented.
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Interaural time sensitivity in medial superior olive of cat

TL;DR: The data suggest that the cells in the MSO behave much like cross-correlators, with computer cross correlations of the monaural spike trains were similar to the ITD curve generated binaurally for both correlated and uncorrelated noise signals to the two ears.
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