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Biological function simulation in neuromorphic devices: from synapse and neuron to behavior
As the boom of data storage and processing, brain-inspired computing provides an effective approach to solve the current problem. Various emerging materials and devices have been reported to promote the development of neuromorphic computing. Thereinto, the neuromorphic device represented by memristo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013381/ https://www.ncbi.nlm.nih.gov/pubmed/36926202 http://dx.doi.org/10.1080/14686996.2023.2183712 |
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author | Chen, Hui Li, Huilin Ma, Ting Han, Shuangshuang Zhao, Qiuping |
author_facet | Chen, Hui Li, Huilin Ma, Ting Han, Shuangshuang Zhao, Qiuping |
author_sort | Chen, Hui |
collection | PubMed |
description | As the boom of data storage and processing, brain-inspired computing provides an effective approach to solve the current problem. Various emerging materials and devices have been reported to promote the development of neuromorphic computing. Thereinto, the neuromorphic device represented by memristor has attracted extensive research due to its outstanding property to emulate the brain’s functions from synaptic plasticity, sensory-memory neurons to some intelligent behaviors of living creatures. Herein, we mainly review the progress of these brain functions mimicked by neuromorphic devices, concentrating on synapse (i.e. various synaptic plasticity trigger by electricity and/or light), neurons (including the various sensory nervous system) and intelligent behaviors (such as conditioned reflex represented by Pavlov’s dog experiment). Finally, some challenges and prospects related to neuromorphic devices are presented. |
format | Online Article Text |
id | pubmed-10013381 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-100133812023-03-15 Biological function simulation in neuromorphic devices: from synapse and neuron to behavior Chen, Hui Li, Huilin Ma, Ting Han, Shuangshuang Zhao, Qiuping Sci Technol Adv Mater Focus on Materials and Technologies for Memristors and Neuromorphic Devices As the boom of data storage and processing, brain-inspired computing provides an effective approach to solve the current problem. Various emerging materials and devices have been reported to promote the development of neuromorphic computing. Thereinto, the neuromorphic device represented by memristor has attracted extensive research due to its outstanding property to emulate the brain’s functions from synaptic plasticity, sensory-memory neurons to some intelligent behaviors of living creatures. Herein, we mainly review the progress of these brain functions mimicked by neuromorphic devices, concentrating on synapse (i.e. various synaptic plasticity trigger by electricity and/or light), neurons (including the various sensory nervous system) and intelligent behaviors (such as conditioned reflex represented by Pavlov’s dog experiment). Finally, some challenges and prospects related to neuromorphic devices are presented. Taylor & Francis 2023-03-10 /pmc/articles/PMC10013381/ /pubmed/36926202 http://dx.doi.org/10.1080/14686996.2023.2183712 Text en © 2023 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Focus on Materials and Technologies for Memristors and Neuromorphic Devices Chen, Hui Li, Huilin Ma, Ting Han, Shuangshuang Zhao, Qiuping Biological function simulation in neuromorphic devices: from synapse and neuron to behavior |
title | Biological function simulation in neuromorphic devices: from synapse and neuron to behavior |
title_full | Biological function simulation in neuromorphic devices: from synapse and neuron to behavior |
title_fullStr | Biological function simulation in neuromorphic devices: from synapse and neuron to behavior |
title_full_unstemmed | Biological function simulation in neuromorphic devices: from synapse and neuron to behavior |
title_short | Biological function simulation in neuromorphic devices: from synapse and neuron to behavior |
title_sort | biological function simulation in neuromorphic devices: from synapse and neuron to behavior |
topic | Focus on Materials and Technologies for Memristors and Neuromorphic Devices |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10013381/ https://www.ncbi.nlm.nih.gov/pubmed/36926202 http://dx.doi.org/10.1080/14686996.2023.2183712 |
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