{"id":"https://openalex.org/W7163511416","doi":"https://doi.org/10.23919/date69613.2026.11539199","title":"A Self-Supervised Neuromorphic Processor Using High-Dimensional Representations for Cognitive Map Navigation","display_name":"A Self-Supervised Neuromorphic Processor Using High-Dimensional Representations for Cognitive Map Navigation","publication_year":2026,"publication_date":"2026-04-20","ids":{"openalex":"https://openalex.org/W7163511416","doi":"https://doi.org/10.23919/date69613.2026.11539199"},"language":null,"primary_location":{"id":"doi:10.23919/date69613.2026.11539199","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date69613.2026.11539199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Design, Automation &amp;amp; Test in Europe Conference (DATE)","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/A5114202103","display_name":"Anqin Xiao","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":"Anqin Xiao","raw_affiliation_strings":["Fudan University,College of Future Information Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,College of Future Information Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126587844","display_name":"Luyu Yang","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":"Luyu Yang","raw_affiliation_strings":["Fudan University,College of Future Information Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,College of Future Information 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,College of Future Information Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,College of Future Information Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047002120","display_name":"Hengtan Zhang","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":"Hengtan Zhang","raw_affiliation_strings":["Fudan University,College of Future Information Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,College of Future Information Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018104523","display_name":"Ziyi Yang","orcid":"https://orcid.org/0000-0002-4138-5598"},"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":"Ziyi Yang","raw_affiliation_strings":["Fudan University,College of Future Information Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,College of Future Information Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137910756","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,College of Future Information Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,College of Future Information Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5137899821","display_name":"Zhuo Zou","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":"Zhuo Zou","raw_affiliation_strings":["Fudan University,College of Future Information Technology,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fudan University,College of Future Information Technology,Shanghai,China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81806507,"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":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.2502000033855438,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.2502000033855438,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.09740000218153,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.07609999924898148,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.447299987077713},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4429999887943268},{"id":"https://openalex.org/keywords/cognitive-map","display_name":"Cognitive map","score":0.3962000012397766},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.3449999988079071},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3066999912261963},{"id":"https://openalex.org/keywords/cognitive-computing","display_name":"Cognitive computing","score":0.30550000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538000106811523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5357000231742859},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49300000071525574},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.447299987077713},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C170494330","wikidata":"https://www.wikidata.org/wiki/Q1778434","display_name":"Cognitive map","level":3,"score":0.3962000012397766},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3066999912261963},{"id":"https://openalex.org/C92298750","wikidata":"https://www.wikidata.org/wiki/Q17008161","display_name":"Cognitive computing","level":3,"score":0.30550000071525574},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2711000144481659},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C2777891301","wikidata":"https://www.wikidata.org/wiki/Q3475123","display_name":"Navigation system","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date69613.2026.11539199","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date69613.2026.11539199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 Design, Automation &amp;amp; Test in Europe Conference (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329902","display_name":"Shanghai Platform for Neuromorphic and AI Chip","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2744976044","https://openalex.org/W2883249085","https://openalex.org/W3039948179","https://openalex.org/W3107513365","https://openalex.org/W3213097409","https://openalex.org/W4211252686","https://openalex.org/W4280598010","https://openalex.org/W4280628858","https://openalex.org/W4285102138","https://openalex.org/W4297243437","https://openalex.org/W4385192437","https://openalex.org/W4385245566","https://openalex.org/W4392850449","https://openalex.org/W4395116617","https://openalex.org/W4401417310"],"related_works":[],"abstract_inverted_index":{"This":[0,49],"work":[1],"proposes":[2],"a":[3,52,59,74,109,147,161,208,224],"self-supervised":[4],"neuromorphic":[5],"processor":[6,71,145,176],"using":[7],"high-dimensional":[8,46,131],"representations":[9],"for":[10,114],"cognitive":[11],"map":[12,196],"navigation.":[13],"By":[14],"employing":[15],"the":[16,38,92,95,119,174,230],"Cognitive":[17],"Map":[18],"Learner":[19],"(CML),":[20],"it":[21,206],"enables":[22],"agents":[23],"to":[24,126,138,167,226],"explore":[25],"and":[26,41,184,193,215,220],"understand":[27],"diverse":[28],"environments":[29],"online":[30],"through":[31],"random":[32,86],"walks.":[33],"To":[34,90],"enhance":[35],"path":[36,209],"planning,":[37],"agent\u2019s":[39],"actions":[40],"observations":[42],"are":[43,104],"embedded":[44],"into":[45,58],"state":[47],"spaces.":[48],"embedding":[50],"creates":[51],"sense":[53],"of":[54,94,121,163,181,203,212],"direction,":[55],"simplifying":[56],"navigation":[57],"retrieval":[60],"process":[61],"within":[62],"an":[63,69,84],"Associative":[64],"Memory":[65,111],"(AM).":[66],"We":[67,142],"design":[68],"energy-efficient":[70],"that":[72,173],"features":[73],"scalable":[75],"multi-core":[76],"hardware":[77,98],"architecture":[78],"with":[79,83,97,156,198],"precision":[80,93],"flexibility,":[81],"combined":[82],"on-chip":[85],"walk":[87],"training":[88],"engine.":[89],"balance":[91],"model":[96],"overhead,":[99],"two":[100],"hardware-software":[101],"co-design":[102],"strategies":[103],"proposed.":[105],"The":[106,128],"first":[107],"is":[108],"Content-Addressable":[110],"(CAM)-based":[112],"approach":[113],"AM":[115],"access,":[116],"which":[117,151],"reduces":[118],"number":[120],"memory":[122],"access":[123],"by":[124,146],"up":[125],"25%.":[127],"second":[129],"involves":[130],"matrix":[132],"sparsity":[133],"optimizations,":[134],"reducing":[135],"computation":[136],"operations":[137],"less":[139],"than":[140],"8%.":[141],"simulate":[143],"this":[144],"40-nm":[148],"CMOS":[149],"technology,":[150],"has":[152],"2.88":[153],"mm2core":[154],"area":[155],"15.8":[157],"mW":[158],"power":[159],"at":[160],"frequency":[162],"140":[164],"MHz.":[165],"Compared":[166],"previous":[168],"processors,":[169],"our":[170],"experiments":[171],"show":[172],"proposed":[175],"achieves":[177],"outstanding":[178],"success":[179],"rates":[180],"99.9%,":[182],"96%,":[183],"98.7%":[185],"on":[186],"100":[187],"2D":[188,219],"nodes,":[189,192],"125":[190],"3D":[191,221],"25":[194],"abstract":[195],"nodes":[197],"obstacles,":[199],"respectively.":[200],"In":[201],"terms":[202],"energy":[204],"efficiency,":[205],"delivers":[207],"planning":[210],"result":[211],"28":[213],"nJ/node":[214,217],"35":[216],"in":[218],"maps,":[222],"offering":[223],"1.2x":[225],"2.9x":[227],"improvement":[228],"over":[229],"state-of-the-art.":[231]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-06-05T00:00:00"}
