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Glomerular Latency Coding in Artificial Olfaction
Sensory perception results from the way sensory information is subsequently transformed in the brain. Olfaction is a typical example in which odor representations undergo considerable changes as they pass from olfactory receptor neurons (ORNs) to second-order neurons. First, many ORNs expressing the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251822/ https://www.ncbi.nlm.nih.gov/pubmed/22319491 http://dx.doi.org/10.3389/fneng.2011.00018 |
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author | Yamani, Jaber Al Boussaid, Farid Bermak, Amine Martinez, Dominique |
author_facet | Yamani, Jaber Al Boussaid, Farid Bermak, Amine Martinez, Dominique |
author_sort | Yamani, Jaber Al |
collection | PubMed |
description | Sensory perception results from the way sensory information is subsequently transformed in the brain. Olfaction is a typical example in which odor representations undergo considerable changes as they pass from olfactory receptor neurons (ORNs) to second-order neurons. First, many ORNs expressing the same receptor protein yet presenting heterogeneous dose–response properties converge onto individually identifiable glomeruli. Second, onset latency of glomerular activation is believed to play a role in encoding odor quality and quantity in the context of fast information processing. Taking inspiration from the olfactory pathway, we designed a simple yet robust glomerular latency coding scheme for processing gas sensor data. The proposed bio-inspired approach was evaluated using an in-house SnO(2) sensor array. Glomerular convergence was achieved by noting the possible analogy between receptor protein expressed in ORNs and metal catalyst used across the fabricated gas sensor array. Ion implantation was another technique used to account both for sensor heterogeneity and enhanced sensitivity. The response of the gas sensor array was mapped into glomerular latency patterns, whose rank order is concentration-invariant. Gas recognition was achieved by simply looking for a “match” within a library of spatio-temporal spike fingerprints. Because of its simplicity, this approach enables the integration of sensing and processing onto a single-chip. |
format | Online Article Text |
id | pubmed-3251822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-32518222012-02-08 Glomerular Latency Coding in Artificial Olfaction Yamani, Jaber Al Boussaid, Farid Bermak, Amine Martinez, Dominique Front Neuroeng Neuroscience Sensory perception results from the way sensory information is subsequently transformed in the brain. Olfaction is a typical example in which odor representations undergo considerable changes as they pass from olfactory receptor neurons (ORNs) to second-order neurons. First, many ORNs expressing the same receptor protein yet presenting heterogeneous dose–response properties converge onto individually identifiable glomeruli. Second, onset latency of glomerular activation is believed to play a role in encoding odor quality and quantity in the context of fast information processing. Taking inspiration from the olfactory pathway, we designed a simple yet robust glomerular latency coding scheme for processing gas sensor data. The proposed bio-inspired approach was evaluated using an in-house SnO(2) sensor array. Glomerular convergence was achieved by noting the possible analogy between receptor protein expressed in ORNs and metal catalyst used across the fabricated gas sensor array. Ion implantation was another technique used to account both for sensor heterogeneity and enhanced sensitivity. The response of the gas sensor array was mapped into glomerular latency patterns, whose rank order is concentration-invariant. Gas recognition was achieved by simply looking for a “match” within a library of spatio-temporal spike fingerprints. Because of its simplicity, this approach enables the integration of sensing and processing onto a single-chip. Frontiers Research Foundation 2012-01-03 /pmc/articles/PMC3251822/ /pubmed/22319491 http://dx.doi.org/10.3389/fneng.2011.00018 Text en Copyright © 2012 Yamani, Boussaid, Bermak and Martinez. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited. |
spellingShingle | Neuroscience Yamani, Jaber Al Boussaid, Farid Bermak, Amine Martinez, Dominique Glomerular Latency Coding in Artificial Olfaction |
title | Glomerular Latency Coding in Artificial Olfaction |
title_full | Glomerular Latency Coding in Artificial Olfaction |
title_fullStr | Glomerular Latency Coding in Artificial Olfaction |
title_full_unstemmed | Glomerular Latency Coding in Artificial Olfaction |
title_short | Glomerular Latency Coding in Artificial Olfaction |
title_sort | glomerular latency coding in artificial olfaction |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251822/ https://www.ncbi.nlm.nih.gov/pubmed/22319491 http://dx.doi.org/10.3389/fneng.2011.00018 |
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