Demonstration of Synaptic Behaviors and Resistive Switching Characterizations by Proton Exchange Reactions in Silicon Oxide
We realize a device with biological synaptic behaviors by integrating silicon oxide (SiO x ) resistive switching memory with Si diodes. Minimal synaptic power consumption due to sneak-path current is achieved and the capability for spike-induced synaptic behaviors is demonstrated, representing criti...
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Veröffentlicht in: | Scientific reports 2016-02, Vol.6 (1), p.21268-21268, Article 21268 |
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creator | Chang, Yao-Feng Fowler, Burt Chen, Ying-Chen Zhou, Fei Pan, Chih-Hung Chang, Ting-Chang Lee, Jack C. |
description | We realize a device with biological synaptic behaviors by integrating silicon oxide (SiO
x
) resistive switching memory with Si diodes. Minimal synaptic power consumption due to sneak-path current is achieved and the capability for spike-induced synaptic behaviors is demonstrated, representing critical milestones for the use of SiO
2
–based materials in future neuromorphic computing applications. Biological synaptic behaviors such as long-term potentiation (LTP), long-term depression (LTD) and spike-timing dependent plasticity (STDP) are demonstrated systematically using a comprehensive analysis of spike-induced waveforms and represent interesting potential applications for SiO
x
-based resistive switching materials. The resistive switching SET transition is modeled as hydrogen (proton) release from (SiH)
2
to generate the hydrogen bridge defect and the RESET transition is modeled as an electrochemical reaction (proton capture) that re-forms (SiH)
2
. The experimental results suggest a simple, robust approach to realize programmable neuromorphic chips compatible with large-scale CMOS manufacturing technology. |
doi_str_mv | 10.1038/srep21268 |
format | Article |
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x
) resistive switching memory with Si diodes. Minimal synaptic power consumption due to sneak-path current is achieved and the capability for spike-induced synaptic behaviors is demonstrated, representing critical milestones for the use of SiO
2
–based materials in future neuromorphic computing applications. Biological synaptic behaviors such as long-term potentiation (LTP), long-term depression (LTD) and spike-timing dependent plasticity (STDP) are demonstrated systematically using a comprehensive analysis of spike-induced waveforms and represent interesting potential applications for SiO
x
-based resistive switching materials. The resistive switching SET transition is modeled as hydrogen (proton) release from (SiH)
2
to generate the hydrogen bridge defect and the RESET transition is modeled as an electrochemical reaction (proton capture) that re-forms (SiH)
2
. The experimental results suggest a simple, robust approach to realize programmable neuromorphic chips compatible with large-scale CMOS manufacturing technology.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep21268</identifier><identifier>PMID: 26880381</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>140/146 ; 639/301/1005/1007 ; 639/925/927/1007 ; Biochips ; Chemical vapor deposition ; CMOS ; Diodes ; Electrodes ; Firing pattern ; Humanities and Social Sciences ; Hydrogen ; Long-term depression ; Long-term potentiation ; Metal oxides ; multidisciplinary ; Random access memory ; Science ; Semiconductors ; Silicon ; Silicon oxide</subject><ispartof>Scientific reports, 2016-02, Vol.6 (1), p.21268-21268, Article 21268</ispartof><rights>The Author(s) 2016</rights><rights>Copyright Nature Publishing Group Feb 2016</rights><rights>Copyright © 2016, Macmillan Publishers Limited 2016 Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-1240c9a96247d33684da463a66b307096d71408da1b64463e3691ea856d11ae3</citedby><cites>FETCH-LOGICAL-c504t-1240c9a96247d33684da463a66b307096d71408da1b64463e3691ea856d11ae3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754682/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754682/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26880381$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chang, Yao-Feng</creatorcontrib><creatorcontrib>Fowler, Burt</creatorcontrib><creatorcontrib>Chen, Ying-Chen</creatorcontrib><creatorcontrib>Zhou, Fei</creatorcontrib><creatorcontrib>Pan, Chih-Hung</creatorcontrib><creatorcontrib>Chang, Ting-Chang</creatorcontrib><creatorcontrib>Lee, Jack C.</creatorcontrib><title>Demonstration of Synaptic Behaviors and Resistive Switching Characterizations by Proton Exchange Reactions in Silicon Oxide</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>We realize a device with biological synaptic behaviors by integrating silicon oxide (SiO
x
) resistive switching memory with Si diodes. Minimal synaptic power consumption due to sneak-path current is achieved and the capability for spike-induced synaptic behaviors is demonstrated, representing critical milestones for the use of SiO
2
–based materials in future neuromorphic computing applications. Biological synaptic behaviors such as long-term potentiation (LTP), long-term depression (LTD) and spike-timing dependent plasticity (STDP) are demonstrated systematically using a comprehensive analysis of spike-induced waveforms and represent interesting potential applications for SiO
x
-based resistive switching materials. The resistive switching SET transition is modeled as hydrogen (proton) release from (SiH)
2
to generate the hydrogen bridge defect and the RESET transition is modeled as an electrochemical reaction (proton capture) that re-forms (SiH)
2
. The experimental results suggest a simple, robust approach to realize programmable neuromorphic chips compatible with large-scale CMOS manufacturing technology.</description><subject>140/146</subject><subject>639/301/1005/1007</subject><subject>639/925/927/1007</subject><subject>Biochips</subject><subject>Chemical vapor deposition</subject><subject>CMOS</subject><subject>Diodes</subject><subject>Electrodes</subject><subject>Firing pattern</subject><subject>Humanities and Social Sciences</subject><subject>Hydrogen</subject><subject>Long-term depression</subject><subject>Long-term potentiation</subject><subject>Metal oxides</subject><subject>multidisciplinary</subject><subject>Random access memory</subject><subject>Science</subject><subject>Semiconductors</subject><subject>Silicon</subject><subject>Silicon oxide</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNplkdFPWyEUxskyM436sH_AkPiymVSBy-XCi4nr3GZi4rL6TiiX9mJuoQLtrP7znlnX1I0HIPl-5-McPoQ-UnJKSSXPcnJzRpmQ79AeI7wesIqx91v3XXSY8x2BVTPFqfqAdoGWUEv30NNXN4shl2SKjwHHCR6tgpkXb_EX15mljyljE1r8y2Wfi186PPrti-18mOJhZ5KxxSX_-FKe8XiFf6ZYwOnywXYmTB0UAvIi-oBHvvcW1JsH37oDtDMxfXaHr-c-uv12eTv8Mbi--X41vLge2JrwMqCME6uMEow3bVUJyVvDRWWEGFekIUq0DeVEtoaOBQfBVUJRZ2QtWkqNq_bR-dp2vhjPXGtdgGl7PU9-ZtJKR-P1WyX4Tk_jUvOm5kIyMPj0apDi_cLlomc-W9f3Jri4yJo2olawyQbQ43_Qu7hIAabTVCqpBKGMAPV5TdkUM-Q32TRDif4Tqt6ECuzRdvcb8m-EAJysgQwSfHjaevI_t2cSdKy1</recordid><startdate>20160216</startdate><enddate>20160216</enddate><creator>Chang, Yao-Feng</creator><creator>Fowler, Burt</creator><creator>Chen, Ying-Chen</creator><creator>Zhou, Fei</creator><creator>Pan, Chih-Hung</creator><creator>Chang, Ting-Chang</creator><creator>Lee, Jack C.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160216</creationdate><title>Demonstration of Synaptic Behaviors and Resistive Switching Characterizations by Proton Exchange Reactions in Silicon Oxide</title><author>Chang, Yao-Feng ; Fowler, Burt ; Chen, Ying-Chen ; Zhou, Fei ; Pan, Chih-Hung ; Chang, Ting-Chang ; Lee, Jack C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-1240c9a96247d33684da463a66b307096d71408da1b64463e3691ea856d11ae3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>140/146</topic><topic>639/301/1005/1007</topic><topic>639/925/927/1007</topic><topic>Biochips</topic><topic>Chemical vapor deposition</topic><topic>CMOS</topic><topic>Diodes</topic><topic>Electrodes</topic><topic>Firing pattern</topic><topic>Humanities and Social Sciences</topic><topic>Hydrogen</topic><topic>Long-term depression</topic><topic>Long-term potentiation</topic><topic>Metal oxides</topic><topic>multidisciplinary</topic><topic>Random access memory</topic><topic>Science</topic><topic>Semiconductors</topic><topic>Silicon</topic><topic>Silicon oxide</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chang, Yao-Feng</creatorcontrib><creatorcontrib>Fowler, Burt</creatorcontrib><creatorcontrib>Chen, Ying-Chen</creatorcontrib><creatorcontrib>Zhou, Fei</creatorcontrib><creatorcontrib>Pan, Chih-Hung</creatorcontrib><creatorcontrib>Chang, Ting-Chang</creatorcontrib><creatorcontrib>Lee, Jack C.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chang, Yao-Feng</au><au>Fowler, Burt</au><au>Chen, Ying-Chen</au><au>Zhou, Fei</au><au>Pan, Chih-Hung</au><au>Chang, Ting-Chang</au><au>Lee, Jack C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Demonstration of Synaptic Behaviors and Resistive Switching Characterizations by Proton Exchange Reactions in Silicon Oxide</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2016-02-16</date><risdate>2016</risdate><volume>6</volume><issue>1</issue><spage>21268</spage><epage>21268</epage><pages>21268-21268</pages><artnum>21268</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>We realize a device with biological synaptic behaviors by integrating silicon oxide (SiO
x
) resistive switching memory with Si diodes. Minimal synaptic power consumption due to sneak-path current is achieved and the capability for spike-induced synaptic behaviors is demonstrated, representing critical milestones for the use of SiO
2
–based materials in future neuromorphic computing applications. Biological synaptic behaviors such as long-term potentiation (LTP), long-term depression (LTD) and spike-timing dependent plasticity (STDP) are demonstrated systematically using a comprehensive analysis of spike-induced waveforms and represent interesting potential applications for SiO
x
-based resistive switching materials. The resistive switching SET transition is modeled as hydrogen (proton) release from (SiH)
2
to generate the hydrogen bridge defect and the RESET transition is modeled as an electrochemical reaction (proton capture) that re-forms (SiH)
2
. The experimental results suggest a simple, robust approach to realize programmable neuromorphic chips compatible with large-scale CMOS manufacturing technology.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>26880381</pmid><doi>10.1038/srep21268</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 140/146 639/301/1005/1007 639/925/927/1007 Biochips Chemical vapor deposition CMOS Diodes Electrodes Firing pattern Humanities and Social Sciences Hydrogen Long-term depression Long-term potentiation Metal oxides multidisciplinary Random access memory Science Semiconductors Silicon Silicon oxide |
title | Demonstration of Synaptic Behaviors and Resistive Switching Characterizations by Proton Exchange Reactions in Silicon Oxide |
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