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Four-quadrant one-transistor-synapse for high-density CNN implementations
Presents a linear four-quadrants, electrically-programmable, one-transistor synapse strategy applicable to the implementation of general massively-parallel analog processors in CMOS technology. It is specially suited for translationally-invariant processing arrays with local connectivity, and result...
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creator | Dominguez-Castro, R. Rodriguez-Vazquez, A. Espejo, S. Carmona, R. |
description | Presents a linear four-quadrants, electrically-programmable, one-transistor synapse strategy applicable to the implementation of general massively-parallel analog processors in CMOS technology. It is specially suited for translationally-invariant processing arrays with local connectivity, and results in a significant reduction in area occupation and power dissipation of the basic processing units. This allows higher integration densities and therefore, permits the integration of larger arrays on a single chip. |
doi_str_mv | 10.1109/CNNA.1998.685377 |
format | conference_proceeding |
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It is specially suited for translationally-invariant processing arrays with local connectivity, and results in a significant reduction in area occupation and power dissipation of the basic processing units. This allows higher integration densities and therefore, permits the integration of larger arrays on a single chip.</description><identifier>ISBN: 0780348672</identifier><identifier>ISBN: 9780780348677</identifier><identifier>DOI: 10.1109/CNNA.1998.685377</identifier><language>eng</language><publisher>IEEE</publisher><subject>Analog processing circuits ; Artificial neural networks ; Cellular neural networks ; CMOS process ; CMOS technology ; Energy consumption ; Power dissipation ; Proposals ; Signal processing ; Voltage</subject><ispartof>1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. 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This allows higher integration densities and therefore, permits the integration of larger arrays on a single chip.</description><subject>Analog processing circuits</subject><subject>Artificial neural networks</subject><subject>Cellular neural networks</subject><subject>CMOS process</subject><subject>CMOS technology</subject><subject>Energy consumption</subject><subject>Power dissipation</subject><subject>Proposals</subject><subject>Signal processing</subject><subject>Voltage</subject><isbn>0780348672</isbn><isbn>9780780348677</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1998</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotT0tLAzEYDIhQrb0XT_sHsub9OJbFaqHUi57L103WRroPk_Sw_95AncsMMzDfNwitKakpJfalORw2NbXW1MpIrvUdeiTaEC6M0myBVin9kAIhJeXqAe224zXi3yu4CEOuxsHjXFQKKY8Rp3mAKfmqG2N1Dt9n7HyJ8lyVK1Xop4vv_ZAhh3FIT-i-g0vyq39eoq_t62fzjvcfb7tms8eBCpWxtI4BaAXCgTOcgWOipcXomO8EkYR5pU_lXUtNkZK6k2tb6KzkiijO-BI933qD9_44xdBDnI-3sfwP_1RLSg</recordid><startdate>1998</startdate><enddate>1998</enddate><creator>Dominguez-Castro, R.</creator><creator>Rodriguez-Vazquez, A.</creator><creator>Espejo, S.</creator><creator>Carmona, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1998</creationdate><title>Four-quadrant one-transistor-synapse for high-density CNN implementations</title><author>Dominguez-Castro, R. ; Rodriguez-Vazquez, A. ; Espejo, S. ; Carmona, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i146t-59d2aa76a4dad832ad24c1a76f2ef40502e67b3489182e651dbdccaf953606323</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Analog processing circuits</topic><topic>Artificial neural networks</topic><topic>Cellular neural networks</topic><topic>CMOS process</topic><topic>CMOS technology</topic><topic>Energy consumption</topic><topic>Power dissipation</topic><topic>Proposals</topic><topic>Signal processing</topic><topic>Voltage</topic><toplevel>online_resources</toplevel><creatorcontrib>Dominguez-Castro, R.</creatorcontrib><creatorcontrib>Rodriguez-Vazquez, A.</creatorcontrib><creatorcontrib>Espejo, S.</creatorcontrib><creatorcontrib>Carmona, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dominguez-Castro, R.</au><au>Rodriguez-Vazquez, A.</au><au>Espejo, S.</au><au>Carmona, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Four-quadrant one-transistor-synapse for high-density CNN implementations</atitle><btitle>1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. 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ispartof | 1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359), 1998, p.243-248 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Analog processing circuits Artificial neural networks Cellular neural networks CMOS process CMOS technology Energy consumption Power dissipation Proposals Signal processing Voltage |
title | Four-quadrant one-transistor-synapse for high-density CNN implementations |
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