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Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose

A neuromorphic module of an electronic nose (E‐nose) is demonstrated by hybridizing a chemoresistive gas sensor made of a semiconductor metal oxide (SMO) and a single transistor neuron (1T‐neuron) made of a metal‐oxide‐semiconductor field‐effect transistor (MOSFET). By mimicking a biological olfacto...

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Autores principales: Han, Joon‐Kyu, Kang, Mingu, Jeong, Jaeseok, Cho, Incheol, Yu, Ji‐Man, Yoon, Kuk‐Jin, Park, Inkyu, Choi, Yang‐Kyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218653/
https://www.ncbi.nlm.nih.gov/pubmed/35426489
http://dx.doi.org/10.1002/advs.202106017
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author Han, Joon‐Kyu
Kang, Mingu
Jeong, Jaeseok
Cho, Incheol
Yu, Ji‐Man
Yoon, Kuk‐Jin
Park, Inkyu
Choi, Yang‐Kyu
author_facet Han, Joon‐Kyu
Kang, Mingu
Jeong, Jaeseok
Cho, Incheol
Yu, Ji‐Man
Yoon, Kuk‐Jin
Park, Inkyu
Choi, Yang‐Kyu
author_sort Han, Joon‐Kyu
collection PubMed
description A neuromorphic module of an electronic nose (E‐nose) is demonstrated by hybridizing a chemoresistive gas sensor made of a semiconductor metal oxide (SMO) and a single transistor neuron (1T‐neuron) made of a metal‐oxide‐semiconductor field‐effect transistor (MOSFET). By mimicking a biological olfactory neuron, it simultaneously detects a gas and encoded spike signals for in‐sensor neuromorphic functioning. It identifies an odor source by analyzing the complicated mixed signals using a spiking neural network (SNN). The proposed E‐nose does not require conversion circuits, which are essential for processing the sensory signals between the sensor array and processors in the conventional bulky E‐nose. In addition, they do not have to include a central processing unit (CPU) and memory, which are required for von Neumann computing. The spike transmission of the biological olfactory system, which is known to be the main factor for reducing power consumption, is realized with the SNN for power savings compared to the conventional E‐nose with a deep neural network (DNN). Therefore, the proposed neuromorphic E‐nose is promising for application to Internet of Things (IoT), which demands a highly scalable and energy‐efficient system. As a practical example, it is employed as an electronic sommelier by classifying different types of wines.
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spelling pubmed-92186532022-06-29 Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose Han, Joon‐Kyu Kang, Mingu Jeong, Jaeseok Cho, Incheol Yu, Ji‐Man Yoon, Kuk‐Jin Park, Inkyu Choi, Yang‐Kyu Adv Sci (Weinh) Research Articles A neuromorphic module of an electronic nose (E‐nose) is demonstrated by hybridizing a chemoresistive gas sensor made of a semiconductor metal oxide (SMO) and a single transistor neuron (1T‐neuron) made of a metal‐oxide‐semiconductor field‐effect transistor (MOSFET). By mimicking a biological olfactory neuron, it simultaneously detects a gas and encoded spike signals for in‐sensor neuromorphic functioning. It identifies an odor source by analyzing the complicated mixed signals using a spiking neural network (SNN). The proposed E‐nose does not require conversion circuits, which are essential for processing the sensory signals between the sensor array and processors in the conventional bulky E‐nose. In addition, they do not have to include a central processing unit (CPU) and memory, which are required for von Neumann computing. The spike transmission of the biological olfactory system, which is known to be the main factor for reducing power consumption, is realized with the SNN for power savings compared to the conventional E‐nose with a deep neural network (DNN). Therefore, the proposed neuromorphic E‐nose is promising for application to Internet of Things (IoT), which demands a highly scalable and energy‐efficient system. As a practical example, it is employed as an electronic sommelier by classifying different types of wines. John Wiley and Sons Inc. 2022-04-15 /pmc/articles/PMC9218653/ /pubmed/35426489 http://dx.doi.org/10.1002/advs.202106017 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Han, Joon‐Kyu
Kang, Mingu
Jeong, Jaeseok
Cho, Incheol
Yu, Ji‐Man
Yoon, Kuk‐Jin
Park, Inkyu
Choi, Yang‐Kyu
Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose
title Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose
title_full Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose
title_fullStr Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose
title_full_unstemmed Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose
title_short Artificial Olfactory Neuron for an In‐Sensor Neuromorphic Nose
title_sort artificial olfactory neuron for an in‐sensor neuromorphic nose
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218653/
https://www.ncbi.nlm.nih.gov/pubmed/35426489
http://dx.doi.org/10.1002/advs.202106017
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