{"id":"https://openalex.org/W2133469462","doi":"https://doi.org/10.1109/socc.2012.6398364","title":"Neuromorphic computing: A SoC scaling path for the next decades","display_name":"Neuromorphic computing: A SoC scaling path for the next decades","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W2133469462","doi":"https://doi.org/10.1109/socc.2012.6398364","mag":"2133469462"},"language":"en","primary_location":{"id":"doi:10.1109/socc.2012.6398364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2012.6398364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International SOC Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058073627","display_name":"Yiran Chen","orcid":"https://orcid.org/0000-0002-1486-8412"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yiran Chen","raw_affiliation_strings":["Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101676852","display_name":"Qing Wu","orcid":"https://orcid.org/0000-0001-7248-9755"},"institutions":[{"id":"https://openalex.org/I1280414376","display_name":"United States Air Force Research Laboratory","ror":"https://ror.org/02e2egq70","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280414376","https://openalex.org/I1330347796","https://openalex.org/I4210102105","https://openalex.org/I4389425425"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Wu","raw_affiliation_strings":["Air Force Research Laboratory, Rome, NY, USA","Information Directorate, Air Force Research Laboratory (AFRL), Rome, NY, USA"],"affiliations":[{"raw_affiliation_string":"Air Force Research Laboratory, Rome, NY, USA","institution_ids":["https://openalex.org/I1280414376"]},{"raw_affiliation_string":"Information Directorate, Air Force Research Laboratory (AFRL), Rome, NY, USA","institution_ids":["https://openalex.org/I1280414376"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058073627"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.15711771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"290","last_page":"291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9749000072479248,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.948199987411499,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9760005474090576},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6987264752388},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.6793650388717651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6665154099464417},{"id":"https://openalex.org/keywords/very-large-scale-integration","display_name":"Very-large-scale integration","score":0.6501944661140442},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.4827917814254761},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.46960270404815674},{"id":"https://openalex.org/keywords/unconventional-computing","display_name":"Unconventional computing","score":0.43514636158943176},{"id":"https://openalex.org/keywords/system-on-a-chip","display_name":"System on a chip","score":0.4296565055847168},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3499652147293091},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2936176657676697},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.2675513029098511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2374669313430786},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.21920296549797058},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19828951358795166},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1077904999256134}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9760005474090576},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6987264752388},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.6793650388717651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6665154099464417},{"id":"https://openalex.org/C14580979","wikidata":"https://www.wikidata.org/wiki/Q876049","display_name":"Very-large-scale integration","level":2,"score":0.6501944661140442},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.4827917814254761},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.46960270404815674},{"id":"https://openalex.org/C23375383","wikidata":"https://www.wikidata.org/wiki/Q176499","display_name":"Unconventional computing","level":2,"score":0.43514636158943176},{"id":"https://openalex.org/C118021083","wikidata":"https://www.wikidata.org/wiki/Q610398","display_name":"System on a chip","level":2,"score":0.4296565055847168},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3499652147293091},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2936176657676697},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.2675513029098511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2374669313430786},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.21920296549797058},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19828951358795166},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1077904999256134}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socc.2012.6398364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc.2012.6398364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International SOC Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1872623660","https://openalex.org/W4292697011","https://openalex.org/W3207218810","https://openalex.org/W3212508523","https://openalex.org/W1995352804","https://openalex.org/W2086672837","https://openalex.org/W2909534142","https://openalex.org/W4367187682","https://openalex.org/W1940420793","https://openalex.org/W3215957123"],"abstract_inverted_index":{"A":[0],"human":[1],"brain":[2,46],"weighs":[3],"~1.5kg,":[4],"and":[5,18,37,55,66,82,92,97],"is":[6],"made":[7],"up":[8],"of":[9,26,77],"100":[10],"billion":[11],"neurons":[12],"connected":[13],"via":[14],"an":[15],"incredibly":[16],"dense":[17],"complex":[19],"neuron":[20],"network.":[21],"The":[22,40,69],"network":[23],"contains":[24],"4km":[25],"wire":[27],"in":[28],"every":[29],"cubic":[30],"millimeter,":[31],"offering":[32],">;100-million":[33],"MIPS":[34],"computing":[35,42,79,90],"capability":[36],"<;20W":[38],"power.":[39],"neuromorphic":[41,78,86],"model":[43],"inspired":[44],"by":[45],"structure":[47],"obtained":[48],"the":[49,59,74,98],"increased":[50],"attentions":[51],"from":[52],"VLSI":[53],"design":[54,88],"EDA":[56],"communities":[57],"following":[58],"recent":[60],"device":[61],"inventions":[62],"like":[63],"memristor,":[64],"nanotube/wire,":[65],"CMOS/molecular":[67],"circuitries.":[68],"three":[70],"invited":[71],"papers":[72],"introduce":[73],"grand":[75],"challenges":[76],"algorithm,":[80],"system":[81],"architecture;":[83],"discuss":[84],"the-state-of-the-art":[85],"systems,":[87],"methodologies,":[89],"modeling,":[91],"applications,":[93],"as":[94,96],"well":[95],"implementation":[99],"opportunities":[100],"on":[101],"System-on-Chip":[102],"platform.":[103]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}