{"id":"https://openalex.org/W7169179433","doi":"https://doi.org/10.1145/3822454.3822487","title":"SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories","display_name":"SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories","publication_year":2026,"publication_date":"2026-07-16","ids":{"openalex":"https://openalex.org/W7169179433","doi":"https://doi.org/10.1145/3822454.3822487"},"language":null,"primary_location":{"id":"doi:10.1145/3822454.3822487","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3822454.3822487","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Neuromorphic Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3822454.3822487","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036650900","display_name":"Shay Snyder","orcid":"https://orcid.org/0000-0002-3369-3478"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shay Snyder","raw_affiliation_strings":["Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-3369-3478","affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075699384","display_name":"Andrew Capodieci","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116723","display_name":"Robotics Research (United States)","ror":"https://ror.org/020w2fr77","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116723"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Capodieci","raw_affiliation_strings":["Neya Robotics, Pittsburgh, PA, USA"],"raw_orcid":"https://orcid.org/0009-0007-1272-6465","affiliations":[{"raw_affiliation_string":"Neya Robotics, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I4210116723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128707301","display_name":"David Gorsich","orcid":null},"institutions":[{"id":"https://openalex.org/I4210154437","display_name":"United States Army Futures Command","ror":"https://ror.org/0593xbv16","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Gorsich","raw_affiliation_strings":["US Army Futures Command, Warren, MI, USA"],"raw_orcid":"https://orcid.org/0000-0003-2961-1393","affiliations":[{"raw_affiliation_string":"US Army Futures Command, Warren, MI, USA","institution_ids":["https://openalex.org/I4210154437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078825022","display_name":"Maryam Parsa","orcid":"https://orcid.org/0000-0002-4855-4593"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryam Parsa","raw_affiliation_strings":["Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-4855-4593","affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7013000249862671},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.47450000047683716},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4440999925136566},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.3691999912261963},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.3684999942779541},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.36390000581741333},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.35519999265670776},{"id":"https://openalex.org/keywords/high-memory","display_name":"High memory","score":0.3124000132083893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7804999947547913},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7013000249862671},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4440999925136566},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3749000132083893},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.3691999912261963},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.3684999942779541},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.36390000581741333},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.35519999265670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3310000002384186},{"id":"https://openalex.org/C2781357197","wikidata":"https://www.wikidata.org/wiki/Q5757597","display_name":"High memory","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C30390489","wikidata":"https://www.wikidata.org/wiki/Q4680748","display_name":"Adaptive memory","level":3,"score":0.3086000084877014},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29269999265670776},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.28209999203681946},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3822454.3822487","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3822454.3822487","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Neuromorphic Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3822454.3822487","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3822454.3822487","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Neuromorphic Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W641262814","https://openalex.org/W2963650979","https://openalex.org/W3040838455","https://openalex.org/W3085003843","https://openalex.org/W3094277857","https://openalex.org/W3214202924","https://openalex.org/W4225389525","https://openalex.org/W4293216350","https://openalex.org/W4389850796","https://openalex.org/W4400081506","https://openalex.org/W4408671822","https://openalex.org/W7133236338"],"related_works":[],"abstract_inverted_index":{"Sequential":[0,101],"associative":[1],"memories":[2],"(SAMs)":[3],"are":[4,41],"difficult":[5],"to":[6,84],"build":[7],"and":[8,23,39,47,108,142,159,174,191],"maintain":[9],"in":[10],"real-world":[11],"streaming":[12,152],"environments,":[13,81],"where":[14,66],"observations":[15,68],"arrive":[16],"incrementally":[17],"over":[18],"time,":[19],"have":[20],"imbalanced":[21],"sampling,":[22],"non-stationary":[24,80,160],"temporal":[25,118,161],"dynamics.":[26,162],"Vector":[27],"Symbolic":[28],"Architectures":[29],"(VSAs)":[30],"provide":[31],"a":[32,106,121],"biologically-inspired":[33],"framework":[34],"for":[35,112],"building":[36],"SAMs.":[37,114],"Entities":[38],"attributes":[40],"encoded":[42],"as":[43],"quasi-orthogonal":[44],"hyperdimensional":[45],"vectors":[46],"processed":[48],"with":[49,120,194],"well":[50],"defined":[51],"algebraic":[52],"operations.":[53],"Despite":[54],"this":[55,82,96],"rich":[56],"framework,":[57],"most":[58],"VSA":[59],"systems":[60],"rely":[61,130],"on":[62,131,151],"simple":[63],"additive":[64],"updates,":[65],"repeated":[67],"reinforce":[69],"existing":[70],"information":[71,76,89,144],"even":[72],"when":[73],"no":[74],"new":[75],"is":[77],"introduced.":[78],"In":[79,95],"leads":[83],"the":[85,91,100,133,149,167,184,195],"persistence":[86],"of":[87],"stale":[88,143],"after":[90],"underlying":[92],"system":[93],"changes.":[94],"work,":[97],"we":[98],"introduce":[99],"Relevance":[102],"Memory":[103],"Unit":[104],"(SRMU),":[105],"domain-":[107],"cleanup-agnostic":[109],"update":[110],"rule":[111],"VSA-based":[113],"The":[115],"SRMU":[116,134,150,168,185],"combines":[117],"decay":[119],"relevance":[122],"gating":[123],"mechanism.":[124],"Unlike":[125],"prior":[126],"approaches":[127],"that":[128,155,166,183],"solely":[129],"cleanup,":[132],"regulates":[135],"memory":[136,170,177,189],"formation":[137],"by":[138,172,179],"filtering":[139],"redundant,":[140],"conflicting,":[141],"before":[145],"storage.":[146],"We":[147],"evaluate":[148],"state-tracking":[153],"tasks":[154],"isolate":[156],"non-uniform":[157],"sampling":[158],"Our":[163],"results":[164],"show":[165],"increases":[169],"similarity":[171],"\\(12.6\\%\\)":[173],"reduces":[175],"cumulative":[176],"magnitude":[178],"\\(53.5\\%\\).":[180],"This":[181],"shows":[182],"produces":[186],"more":[187],"stable":[188],"growth":[190],"stronger":[192],"alignment":[193],"ground-truth":[196],"state.":[197]},"counts_by_year":[],"updated_date":"2026-07-17T05:58:32.477365","created_date":"2026-07-17T00:00:00"}