{"id":"https://openalex.org/W1544148687","doi":"https://doi.org/10.1109/nanoarch.2015.7180610","title":"Exploiting local connectivity of CMOL architecture for highly parallel orientation selective neuromorphic chips","display_name":"Exploiting local connectivity of CMOL architecture for highly parallel orientation selective neuromorphic chips","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1544148687","doi":"https://doi.org/10.1109/nanoarch.2015.7180610","mag":"1544148687"},"language":"en","primary_location":{"id":"doi:10.1109/nanoarch.2015.7180610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nanoarch.2015.7180610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH\u00b415)","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/A5025696765","display_name":"Melika Payvand","orcid":"https://orcid.org/0000-0001-5400-067X"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Melika Payvand","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California Santa Barbara Santa Barbara, California, CA","Department of Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, CA, California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California Santa Barbara Santa Barbara, California, CA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, CA, California","institution_ids":["https://openalex.org/I154570441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038645932","display_name":"Luke Theogarajan","orcid":"https://orcid.org/0000-0002-0320-5023"},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luke Theogarajan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California Santa Barbara Santa Barbara, California, CA","Department of Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, CA, California"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California Santa Barbara Santa Barbara, California, CA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, CA, California","institution_ids":["https://openalex.org/I154570441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4017,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.65694416,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"25","issue":null,"first_page":"187","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":1.0,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9990000128746033,"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":0.8941400647163391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7578011751174927},{"id":"https://openalex.org/keywords/crossbar-switch","display_name":"Crossbar switch","score":0.7499955892562866},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.713532567024231},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7133633494377136},{"id":"https://openalex.org/keywords/memristor","display_name":"Memristor","score":0.7010998725891113},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5660403370857239},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.48405593633651733},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.45902878046035767},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4418609142303467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3899223804473877},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.21755093336105347},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10345286130905151},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09818965196609497}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8941400647163391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7578011751174927},{"id":"https://openalex.org/C29984679","wikidata":"https://www.wikidata.org/wiki/Q1929149","display_name":"Crossbar switch","level":2,"score":0.7499955892562866},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.713532567024231},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7133633494377136},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.7010998725891113},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5660403370857239},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.48405593633651733},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.45902878046035767},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4418609142303467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3899223804473877},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.21755093336105347},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10345286130905151},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09818965196609497},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C25274449","wikidata":"https://www.wikidata.org/wiki/Q1805481","display_name":"Long-term potentiation","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nanoarch.2015.7180610","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nanoarch.2015.7180610","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH\u00b415)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1571889683","https://openalex.org/W1594175465","https://openalex.org/W1811076718","https://openalex.org/W1981646843","https://openalex.org/W1982965615","https://openalex.org/W1990404128","https://openalex.org/W2007815184","https://openalex.org/W2016922062","https://openalex.org/W2023698363","https://openalex.org/W2033147674","https://openalex.org/W2058568633","https://openalex.org/W2060561757","https://openalex.org/W2069233440","https://openalex.org/W2086504641","https://openalex.org/W2091987367","https://openalex.org/W2094502999","https://openalex.org/W2103149211","https://openalex.org/W2105489745","https://openalex.org/W2112796928","https://openalex.org/W2116958020","https://openalex.org/W2129936377","https://openalex.org/W2132172349","https://openalex.org/W2133258871","https://openalex.org/W2137249916","https://openalex.org/W2147030841","https://openalex.org/W2147101007","https://openalex.org/W2155843641","https://openalex.org/W2156640153","https://openalex.org/W2314722175","https://openalex.org/W2323986115","https://openalex.org/W4245508239"],"related_works":["https://openalex.org/W3164474614","https://openalex.org/W2171130799","https://openalex.org/W2005875039","https://openalex.org/W2015477599","https://openalex.org/W2548135880","https://openalex.org/W2144085790","https://openalex.org/W3177379469","https://openalex.org/W2516929886","https://openalex.org/W4253441086","https://openalex.org/W2942778963"],"abstract_inverted_index":{"Biological":[0],"neural":[1,38,77],"networks":[2],"exploit":[3],"local":[4],"connectivity":[5,26,73],"to":[6,65,99],"solve":[7,100],"complex":[8],"image":[9],"recognition":[10,102],"tasks.":[11],"While":[12],"CMOS":[13],"scaling":[14],"has":[15],"enabled":[16],"packing":[17],"more":[18],"transistors":[19],"and":[20,123],"functionality":[21],"into":[22],"a":[23,37,62,149,157],"given":[24,148],"area,":[25],"still":[27],"remains":[28],"an":[29,115],"unsolved":[30],"problem.":[31,43],"The":[32],"vast":[33],"interconnectedness":[34],"required":[35,75],"in":[36,69,96,103,135,156],"network":[39,64,118],"further":[40],"exacerbates":[41],"this":[42,80],"Recently":[44],"memristors":[45],"have":[46],"emerged":[47],"as":[48],"viable":[49],"on-chip":[50],"synaptic":[51],"mimics.":[52],"However,":[53],"the":[54,84,110,132,143],"two":[55],"terminal":[56],"nature":[57],"of":[58,86,114,131,152],"these":[59],"devices":[60],"requires":[61],"crossbar":[63],"enable":[66],"individual":[67],"addressing,":[68],"turn":[70],"precluding":[71],"large":[72,87],"domain":[74],"for":[76],"networks.":[78],"In":[79],"paper,":[81],"we":[82],"explore":[83],"use":[85],"fan-in":[88],"locally":[89],"connected":[90],"spiking":[91],"silicon":[92],"neurons":[93],"readily":[94],"available":[95],"CMOL":[97],"architecture":[98],"edge":[101,116],"images":[104],"via":[105],"unsupervised":[106],"learning.":[107],"We":[108,141],"show":[109],"system":[111,133],"level":[112,129],"simulation":[113,130],"classifying":[117],"using":[119],"Simulink":[120],"employing":[121],"self-inhibition":[122],"Spike":[124],"Timing":[125],"Dependent":[126],"Plasticity.":[127],"Transistor":[128],"blocks":[134],"Cadence":[136],"Spectre":[137],"is":[138],"also":[139],"included.":[140],"derive":[142],"constraints":[144],"on":[145],"nanowire":[146],"length":[147],"particular":[150],"choice":[151],"memristor":[153],"implementation,":[154],"resulting":[155],"maximum":[158],"kernel":[159],"size.":[160]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}