{"id":"https://openalex.org/W4400229801","doi":"https://doi.org/10.1109/iscas58744.2024.10558463","title":"TSCM: A TCAM-Based Sparse Connection Memory Architecture in Neuromorphic Computing System for Cortical Simulation","display_name":"TSCM: A TCAM-Based Sparse Connection Memory Architecture in Neuromorphic Computing System for Cortical Simulation","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400229801","doi":"https://doi.org/10.1109/iscas58744.2024.10558463"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558463","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10558463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5076836805","display_name":"Fanxi Yang","orcid":"https://orcid.org/0009-0008-6209-0810"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanxi Yang","raw_affiliation_strings":["Fudan University,School of Information Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100598212","display_name":"Yuhan He","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhan He","raw_affiliation_strings":["Fudan University,School of Information Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101558823","display_name":"Ning Ma","orcid":"https://orcid.org/0000-0003-3386-5046"},"institutions":[{"id":"https://openalex.org/I32820368","display_name":"Guangdong Polytechnic of Science and Technology","ror":"https://ror.org/01wq2p249","country_code":"CN","type":"education","lineage":["https://openalex.org/I32820368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Ma","raw_affiliation_strings":["Guangdong Institute of Intelligence Science and Technology,Zhuhai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Institute of Intelligence Science and Technology,Zhuhai,China","institution_ids":["https://openalex.org/I32820368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100540625","display_name":"Lirong Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lirong Zheng","raw_affiliation_strings":["Fudan University,School of Information Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043039025","display_name":"Zhuo Zou","orcid":"https://orcid.org/0000-0002-8546-1329"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuo Zou","raw_affiliation_strings":["Fudan University,School of Information Science and Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,School of Information Science and Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06842921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9993000030517578,"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":0.9993000030517578,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.961899995803833,"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":0.9239771962165833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7912425994873047},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.7165336608886719},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.6382651925086975},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5166316628456116},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4975338280200958},{"id":"https://openalex.org/keywords/connection","display_name":"Connection (principal bundle)","score":0.46799203753471375},{"id":"https://openalex.org/keywords/content-addressable-storage","display_name":"Content-addressable storage","score":0.42602425813674927},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3970935642719269},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2883262038230896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22324571013450623},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07976013422012329}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9239771962165833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7912425994873047},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.7165336608886719},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.6382651925086975},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5166316628456116},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4975338280200958},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.46799203753471375},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.42602425813674927},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3970935642719269},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2883262038230896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22324571013450623},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07976013422012329},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558463","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10558463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1547056875","https://openalex.org/W1604973310","https://openalex.org/W2102397476","https://openalex.org/W2130360162","https://openalex.org/W2153113253","https://openalex.org/W2571808120","https://openalex.org/W2783525259","https://openalex.org/W2788296660","https://openalex.org/W2900282770","https://openalex.org/W2974485808","https://openalex.org/W3006426821","https://openalex.org/W3174195330","https://openalex.org/W4210357113","https://openalex.org/W4214867079","https://openalex.org/W4223904523"],"related_works":["https://openalex.org/W3031505884","https://openalex.org/W2951049725","https://openalex.org/W4285308918","https://openalex.org/W2971712727","https://openalex.org/W4387459935","https://openalex.org/W2908450434","https://openalex.org/W3193008624","https://openalex.org/W4382561696","https://openalex.org/W2581119583","https://openalex.org/W3015991694"],"abstract_inverted_index":{"The":[0,48],"connection":[1],"matrix":[2],"requires":[3],"significant":[4],"memory":[5,23,74,83],"capacity":[6,24],"in":[7,18,41,141],"large-scale":[8],"Spiking":[9],"Neural":[10],"Networks":[11],"(SNNs).":[12],"However,":[13],"the":[14,79,81,93,125],"sparsity":[15],"of":[16,51,117],"connections":[17],"cortical":[19,46,119,142],"models":[20],"leads":[21],"to":[22,92,132,139,149,152],"and":[25,69,88,112,134],"energy":[26,89,135],"inefficiencies.":[27],"This":[28],"paper":[29],"proposes":[30],"Ternary":[31],"Content":[32],"Addressable":[33],"Memory":[34,38,63,98],"(TCAM)-based":[35],"Sparse":[36],"Connection":[37],"(TSCM)":[39],"architecture":[40,49,84,127],"neuromorphic":[42],"computing":[43],"systems":[44],"for":[45,54,65,73],"simulation.":[47],"consists":[50],"a":[52,59,70],"TCAM":[53],"searching":[55],"existing":[56],"synaptic":[57],"connections,":[58],"Static":[60],"Random":[61],"Access":[62],"(SRAM)":[64],"storing":[66],"synapse":[67],"addresses,":[68],"three-stage":[71],"circuit":[72],"access":[75],"control.":[76],"By":[77],"leveraging":[78],"sparsity,":[80],"proposed":[82],"demonstrates":[85],"improved":[86],"area":[87,129],"efficiency":[90],"compared":[91,151],"conventional":[94],"Direct":[95],"Mapped":[96],"Full-Address":[97],"(DMFAM)":[99],"architecture.":[100,154],"A":[101],"TSCM":[102,126],"macro":[103],"is":[104],"designed,":[105],"simulated":[106],"using":[107],"UMC":[108],"40-nm":[109],"CMOS":[110],"technology,":[111],"evaluated":[113],"across":[114],"various":[115],"scales":[116],"classical":[118],"models.":[120],"Experimental":[121],"results":[122],"demonstrate":[123],"that":[124],"reduces":[128],"by":[130,137],"27.6%":[131],"75.6%":[133],"consumption":[136],"15.8%":[138],"96.0%":[140],"simulation":[143],"with":[144],"neurons":[145],"ranging":[146],"from":[147],"100k":[148],"10M":[150],"DMFAM":[153]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
