Standard cells for auto scaling pulsed analog neural circuits
The authors present an approach to implementing neural networks that uses pulse streams modulated by nonlinearly weighted synapses and neurons that generate individual pulses whenever their threshold is exceeded. The distribution of the membrane capacitance and the related elements to the synapses a...
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creator | Bruce-Lockhart, M.P. Bhattacharya, D. |
description | The authors present an approach to implementing neural networks that uses pulse streams modulated by nonlinearly weighted synapses and neurons that generate individual pulses whenever their threshold is exceeded. The distribution of the membrane capacitance and the related elements to the synapses automatically scales the capacitance to the incoming excitatory charges, allowing the synapses to be developed as cells and employed over a very wide range of connectivity. Standard cells are presented along with simulation results for a number of different neural networks.< > |
doi_str_mv | 10.1109/PACRIM.1993.407167 |
format | Conference Proceeding |
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The distribution of the membrane capacitance and the related elements to the synapses automatically scales the capacitance to the incoming excitatory charges, allowing the synapses to be developed as cells and employed over a very wide range of connectivity. 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The distribution of the membrane capacitance and the related elements to the synapses automatically scales the capacitance to the incoming excitatory charges, allowing the synapses to be developed as cells and employed over a very wide range of connectivity. Standard cells are presented along with simulation results for a number of different neural networks.< ></description><subject>Adders</subject><subject>Biomembranes</subject><subject>Capacitance</subject><subject>Computer simulation</subject><subject>Frequency</subject><subject>Minimization</subject><subject>Neural networks</subject><subject>Neurons</subject><subject>Pulse circuits</subject><subject>Pulse modulation</subject><isbn>0780309715</isbn><isbn>9780780309715</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tqwzAURAWl0DbND2SlH7Crq4dlLboIpo9ASksf63AtXwcV1Q6Svejf15DOZg4MHBjGNiBKAOHu3rbN--6lBOdUqYWFyl6wG2FroYSzYK7YOudvsUQbUddwze4_Jhw6TB33FGPm_Zg4ztPIs8cYhiM_zTFTx3HAOB75QHPCyH1Ifg5TvmWXPS77-r9X7Ovx4bN5LvavT7tmuy8CCD0VznhqtZVtb3VLqGuDzlZWGXKq1xVIEt4LD4AVedVJ8GS0q7WU2C1k1Iptzt5ARIdTCj-Yfg_ng-oPFDZGyA</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Bruce-Lockhart, M.P.</creator><creator>Bhattacharya, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1993</creationdate><title>Standard cells for auto scaling pulsed analog neural circuits</title><author>Bruce-Lockhart, M.P. ; Bhattacharya, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i104t-95ceb472bf74bea485a976735e93f4612e0cc0c11a6ec3d21ce5498422ade5453</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Adders</topic><topic>Biomembranes</topic><topic>Capacitance</topic><topic>Computer simulation</topic><topic>Frequency</topic><topic>Minimization</topic><topic>Neural networks</topic><topic>Neurons</topic><topic>Pulse circuits</topic><topic>Pulse modulation</topic><toplevel>online_resources</toplevel><creatorcontrib>Bruce-Lockhart, M.P.</creatorcontrib><creatorcontrib>Bhattacharya, D.</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 Electronic Library (IEL)</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>Bruce-Lockhart, M.P.</au><au>Bhattacharya, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Standard cells for auto scaling pulsed analog neural circuits</atitle><btitle>Proceedings of IEEE Pacific Rim Conference on Communications Computers and Signal Processing</btitle><stitle>PACRIM</stitle><date>1993</date><risdate>1993</risdate><volume>1</volume><spage>288</spage><epage>291 vol.1</epage><pages>288-291 vol.1</pages><isbn>0780309715</isbn><isbn>9780780309715</isbn><abstract>The authors present an approach to implementing neural networks that uses pulse streams modulated by nonlinearly weighted synapses and neurons that generate individual pulses whenever their threshold is exceeded. The distribution of the membrane capacitance and the related elements to the synapses automatically scales the capacitance to the incoming excitatory charges, allowing the synapses to be developed as cells and employed over a very wide range of connectivity. Standard cells are presented along with simulation results for a number of different neural networks.< ></abstract><pub>IEEE</pub><doi>10.1109/PACRIM.1993.407167</doi></addata></record> |
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subjects | Adders Biomembranes Capacitance Computer simulation Frequency Minimization Neural networks Neurons Pulse circuits Pulse modulation |
title | Standard cells for auto scaling pulsed analog neural circuits |
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