Sound Source Localization through 8 MEMS Microphones Array Using a Sand-Scorpion-Inspired Spiking Neural Network

Sand-scorpions and many other arachnids perceive their environment by using their feet to sense ground waves. They are able to determine amplitudes the size of an atom and locate the acoustic stimuli with an accuracy of within 13° based on their neuronal anatomy. We present here a prototype sound so...

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Detalles Bibliográficos
Autores principales: Beck, Christoph, Garreau, Guillaume, Georgiou, Julius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5081358/
https://www.ncbi.nlm.nih.gov/pubmed/27833526
http://dx.doi.org/10.3389/fnins.2016.00479
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author Beck, Christoph
Garreau, Guillaume
Georgiou, Julius
author_facet Beck, Christoph
Garreau, Guillaume
Georgiou, Julius
author_sort Beck, Christoph
collection PubMed
description Sand-scorpions and many other arachnids perceive their environment by using their feet to sense ground waves. They are able to determine amplitudes the size of an atom and locate the acoustic stimuli with an accuracy of within 13° based on their neuronal anatomy. We present here a prototype sound source localization system, inspired from this impressive performance. The system presented utilizes custom-built hardware with eight MEMS microphones, one for each foot, to acquire the acoustic scene, and a spiking neural model to localize the sound source. The current implementation shows smaller localization error than those observed in nature.
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spelling pubmed-50813582016-11-10 Sound Source Localization through 8 MEMS Microphones Array Using a Sand-Scorpion-Inspired Spiking Neural Network Beck, Christoph Garreau, Guillaume Georgiou, Julius Front Neurosci Neuroscience Sand-scorpions and many other arachnids perceive their environment by using their feet to sense ground waves. They are able to determine amplitudes the size of an atom and locate the acoustic stimuli with an accuracy of within 13° based on their neuronal anatomy. We present here a prototype sound source localization system, inspired from this impressive performance. The system presented utilizes custom-built hardware with eight MEMS microphones, one for each foot, to acquire the acoustic scene, and a spiking neural model to localize the sound source. The current implementation shows smaller localization error than those observed in nature. Frontiers Media S.A. 2016-10-27 /pmc/articles/PMC5081358/ /pubmed/27833526 http://dx.doi.org/10.3389/fnins.2016.00479 Text en Copyright © 2016 Beck, Garreau and Georgiou. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Beck, Christoph
Garreau, Guillaume
Georgiou, Julius
Sound Source Localization through 8 MEMS Microphones Array Using a Sand-Scorpion-Inspired Spiking Neural Network
title Sound Source Localization through 8 MEMS Microphones Array Using a Sand-Scorpion-Inspired Spiking Neural Network
title_full Sound Source Localization through 8 MEMS Microphones Array Using a Sand-Scorpion-Inspired Spiking Neural Network
title_fullStr Sound Source Localization through 8 MEMS Microphones Array Using a Sand-Scorpion-Inspired Spiking Neural Network
title_full_unstemmed Sound Source Localization through 8 MEMS Microphones Array Using a Sand-Scorpion-Inspired Spiking Neural Network
title_short Sound Source Localization through 8 MEMS Microphones Array Using a Sand-Scorpion-Inspired Spiking Neural Network
title_sort sound source localization through 8 mems microphones array using a sand-scorpion-inspired spiking neural network
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5081358/
https://www.ncbi.nlm.nih.gov/pubmed/27833526
http://dx.doi.org/10.3389/fnins.2016.00479
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