Natural biomaterial honey-based resistive switching device for artificial synapse in neuromorphic systems
Resistive switching is a promising technology for artificial synapses, the most critical component and building block of a neural network for brain-inspired neuromorphic computing. The artificial synapse is capable of emulating a signal process and memory functions of biological synapses. The artifi...
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Veröffentlicht in: | Applied physics letters 2022-02, Vol.120 (8) |
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description | Resistive switching is a promising technology for artificial synapses, the most critical component and building block of a neural network for brain-inspired neuromorphic computing. The artificial synapse is capable of emulating a signal process and memory functions of biological synapses. The artificial synapse fabricated by natural bioorganic materials is essential for developing soft, flexible, and biocompatible electronics and sustainable, biodegradable, and environmentally friendly neuromorphic systems. In this work, a natural biomaterial—honey based resistive switching device—was demonstrated to emulate some important functionalities of biological synapses, including synaptic potentiation and depression, short-term and long-term memory, spatial summation, and shunting inhibition. The results indicate the potential of honey based resistive switching for artificial synaptic devices in renewable neuromorphic systems and bioelectronics. |
doi_str_mv | 10.1063/5.0081704 |
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The results indicate the potential of honey based resistive switching for artificial synaptic devices in renewable neuromorphic systems and bioelectronics.</description><subject>Applied physics</subject><subject>Biocompatibility</subject><subject>Biodegradability</subject><subject>Biomedical materials</subject><subject>Critical components</subject><subject>Neural networks</subject><subject>Neuromorphic computing</subject><subject>Signal processing</subject><subject>Switching</subject><subject>Synapses</subject><issn>0003-6951</issn><issn>1077-3118</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqd0EtLAzEQAOAgCtbqwX8Q8KSwNdl0J5ujFF9Q9KLnkM3O2pTuZk2ylf57t7Tg3dM8-GYGhpBrzmacgbgvZoyVXLL5CZlwJmUmOC9PyYQxJjJQBT8nFzGux7LIhZgQ92bSEMyGVs63JmFwY77yHe6yykSsacDoYnJbpPHHJbty3Retcess0sYHakJyjbP7qbjrTB-Ruo52OATf-tCvnB37MWEbL8lZYzYRr45xSj6fHj8WL9ny_fl18bDMrIA8ZZzneWOgBGkMF3ldMq4EiLpSUsxtBULNRQkooLI1AEKtJEJpGDOqMlgUYkpuDnv74L8HjEmv_RC68aTOQXAlQYIa1e1B2eBjDNjoPrjWhJ3mTO8_qQt9_ORo7w42WpdMcr77H9768Ad1XzfiF-YcgwU</recordid><startdate>20220221</startdate><enddate>20220221</enddate><creator>Sueoka, Brandon</creator><creator>Cheong, Kuan Yew</creator><creator>Zhao, Feng</creator><general>American Institute of Physics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0001-9350-6497</orcidid><orcidid>https://orcid.org/0000-0001-8049-0297</orcidid></search><sort><creationdate>20220221</creationdate><title>Natural biomaterial honey-based resistive switching device for artificial synapse in neuromorphic systems</title><author>Sueoka, Brandon ; Cheong, Kuan Yew ; Zhao, Feng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c362t-1122fa6867aa132d8019363db9734cb6394386e36bcd66e6d97e68a00a9bae553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Applied physics</topic><topic>Biocompatibility</topic><topic>Biodegradability</topic><topic>Biomedical materials</topic><topic>Critical components</topic><topic>Neural networks</topic><topic>Neuromorphic computing</topic><topic>Signal processing</topic><topic>Switching</topic><topic>Synapses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sueoka, Brandon</creatorcontrib><creatorcontrib>Cheong, Kuan Yew</creatorcontrib><creatorcontrib>Zhao, Feng</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Applied physics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sueoka, Brandon</au><au>Cheong, Kuan Yew</au><au>Zhao, Feng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Natural biomaterial honey-based resistive switching device for artificial synapse in neuromorphic systems</atitle><jtitle>Applied physics letters</jtitle><date>2022-02-21</date><risdate>2022</risdate><volume>120</volume><issue>8</issue><issn>0003-6951</issn><eissn>1077-3118</eissn><coden>APPLAB</coden><abstract>Resistive switching is a promising technology for artificial synapses, the most critical component and building block of a neural network for brain-inspired neuromorphic computing. 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subjects | Applied physics Biocompatibility Biodegradability Biomedical materials Critical components Neural networks Neuromorphic computing Signal processing Switching Synapses |
title | Natural biomaterial honey-based resistive switching device for artificial synapse in neuromorphic systems |
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