{"id":"https://openalex.org/W7168765580","doi":"https://doi.org/10.1145/3822454.3822474","title":"Sleep-Inspired Replay-Driven Online Temporal Learning with Memristive Neuromorphic Hardware for Edge Systems","display_name":"Sleep-Inspired Replay-Driven Online Temporal Learning with Memristive Neuromorphic Hardware for Edge Systems","publication_year":2026,"publication_date":"2026-07-16","ids":{"openalex":"https://openalex.org/W7168765580","doi":"https://doi.org/10.1145/3822454.3822474"},"language":null,"primary_location":{"id":"doi:10.1145/3822454.3822474","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3822454.3822474","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/10.1145/3822454.3822474","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005972758","display_name":"Sree Nirmillo Biswash Tushar","orcid":"https://orcid.org/0009-0007-4723-6757"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sree Nirmiillo Biswash Tushar","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA"],"raw_orcid":"https://orcid.org/0009-0007-4723-6757","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040650946","display_name":"Sk. Hasibul Alam","orcid":"https://orcid.org/0000-0002-1857-3996"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sk Hasibul Alam","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA"],"raw_orcid":"https://orcid.org/0000-0002-1857-3996","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141022393","display_name":"Miranda Gonzales","orcid":"https://orcid.org/0009-0009-4503-1007"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miranda Gonzales","raw_affiliation_strings":["Department of Neuroscience, Developmental, and Regenerative Biology, University of Texas at San Antonio, San Antonio, TX, USA"],"raw_orcid":"https://orcid.org/0009-0009-4503-1007","affiliations":[{"raw_affiliation_string":"Department of Neuroscience, Developmental, and Regenerative Biology, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044341747","display_name":"Itamar Lerner","orcid":"https://orcid.org/0000-0003-2525-2741"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Itamar Lerner","raw_affiliation_strings":["Department of Psychology, University of Texas at San Antonio, San Antonio, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-2525-2741","affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033784578","display_name":"Catherine D. Schuman","orcid":"https://orcid.org/0000-0002-4264-8097"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Catherine D. Schuman","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA"],"raw_orcid":"https://orcid.org/0000-0002-4264-8097","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047248181","display_name":"Garrett S. Rose","orcid":"https://orcid.org/0000-0003-3070-4087"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Garrett S. Rose","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA"],"raw_orcid":"https://orcid.org/0000-0003-3070-4087","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":"265","last_page":"272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7366999983787537},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5763000249862671},{"id":"https://openalex.org/keywords/hebbian-theory","display_name":"Hebbian theory","score":0.535099983215332},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.4950999915599823},{"id":"https://openalex.org/keywords/edge-of-chaos","display_name":"Edge of chaos","score":0.4207000136375427},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41999998688697815},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41119998693466187},{"id":"https://openalex.org/keywords/lifelog","display_name":"Lifelog","score":0.4034999907016754},{"id":"https://openalex.org/keywords/memory-consolidation","display_name":"Memory consolidation","score":0.38190001249313354},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.37439998984336853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7982000112533569},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7366999983787537},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5763000249862671},{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.535099983215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5060999989509583},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.4950999915599823},{"id":"https://openalex.org/C2780713532","wikidata":"https://www.wikidata.org/wiki/Q93158","display_name":"Edge of chaos","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41999998688697815},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C176168674","wikidata":"https://www.wikidata.org/wiki/Q763835","display_name":"Lifelog","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C48455012","wikidata":"https://www.wikidata.org/wiki/Q2892593","display_name":"Memory consolidation","level":3,"score":0.38190001249313354},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.37439998984336853},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3693999946117401},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.3598000109195709},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.35280001163482666},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.3481000065803528},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.3434000015258789},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.3357999920845032},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.33009999990463257},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.31619998812675476},{"id":"https://openalex.org/C182019814","wikidata":"https://www.wikidata.org/wiki/Q1143830","display_name":"Resistive random-access memory","level":3,"score":0.31619998812675476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3086000084877014},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.30059999227523804},{"id":"https://openalex.org/C2779795794","wikidata":"https://www.wikidata.org/wiki/Q7315343","display_name":"Reset (finance)","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2904999852180481},{"id":"https://openalex.org/C2779602883","wikidata":"https://www.wikidata.org/wiki/Q15544750","display_name":"Memory architecture","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C150072547","wikidata":"https://www.wikidata.org/wiki/Q212923","display_name":"Memristor","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2669999897480011},{"id":"https://openalex.org/C2778618852","wikidata":"https://www.wikidata.org/wiki/Q1128613","display_name":"Content-addressable storage","level":4,"score":0.26440000534057617},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3822454.3822474","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3822454.3822474","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:10.1145/3822454.3822474","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3822454.3822474","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":[{"id":"https://openalex.org/G6356392953","display_name":"EFRI BRAID: Efficient Learning of Spatiotemporal Regularities in Humans and Machines through Temporal Scaffolding","funder_award_id":"2317706","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1964288235","https://openalex.org/W1978614948","https://openalex.org/W2042489792","https://openalex.org/W2079329690","https://openalex.org/W2119624849","https://openalex.org/W2186002283","https://openalex.org/W2582333543","https://openalex.org/W2754880412","https://openalex.org/W2897012097","https://openalex.org/W2984844508","https://openalex.org/W3013080934","https://openalex.org/W3036180802","https://openalex.org/W3091882095","https://openalex.org/W3171884590","https://openalex.org/W4205650351","https://openalex.org/W4221112253","https://openalex.org/W4281741039","https://openalex.org/W4292862177","https://openalex.org/W4309305985","https://openalex.org/W4393613615","https://openalex.org/W4402778069","https://openalex.org/W4402835863","https://openalex.org/W4407900215","https://openalex.org/W4409366159","https://openalex.org/W7131815875"],"related_works":[],"abstract_inverted_index":{"In":[0],"edge":[1,186],"computing":[2],"applications,":[3],"storing":[4],"long":[5],"temporal":[6,32,45,80,113,144,181],"sequences":[7],"is":[8,48,155],"memory":[9,43,55,73,111,166,178],"and":[10,84,128],"energy":[11],"intensive,":[12],"while":[13,162],"sensory":[14],"data":[15],"arrives":[16],"sequentially,":[17],"requiring":[18],"online":[19,22,91],"learning.":[20,93],"Although":[21],"updates":[23],"reduce":[24],"storage":[25,127],"requirements,":[26],"they":[27],"lack":[28],"access":[29],"to":[30,165],"broader":[31],"context":[33,52,87,114,159,182],"needed":[34],"for":[35,66,89,112,180],"accurate":[36],"prediction.":[37],"To":[38],"address":[39],"this,":[40],"a":[41,63,70,79,86,134],"sleep-inspired,":[42,176],"consolidation-based":[44],"learning":[46,82,183],"framework":[47],"proposed":[49,107],"that":[50,74,139],"reconstructs":[51],"from":[53],"replayed":[54],"during":[56,168],"brief":[57],"sleep":[58],"periods.":[59],"The":[60],"approach":[61,108],"integrates":[62],"spiking":[64,97],"reservoir":[65],"short-term":[67],"dynamics":[68],"with":[69],"replay-driven":[71,177],"associative":[72],"consolidates":[75],"past":[76],"experiences":[77],"using":[78],"Hebbian":[81],"rule":[83],"generates":[85],"signal":[88],"subsequent":[90],"wake-phase":[92],"Unlike":[94],"prior":[95],"replay-based":[96],"neural":[98],"network":[99],"methods":[100],"focused":[101],"on":[102,133],"mitigating":[103],"catastrophic":[104],"forgetting,":[105],"the":[106,140,173],"leverages":[109],"replay":[110],"extraction.":[115],"A":[116],"memristive":[117],"neuromorphic":[118],"hardware":[119],"implementation":[120],"further":[121],"enables":[122],"energy-efficient":[123],"operation":[124],"through":[125],"non-volatile":[126],"in-memory":[129],"computation.":[130],"Experimental":[131],"results":[132,171],"robotic":[135],"coordination":[136],"task":[137],"show":[138],"model":[141],"captures":[142],"key":[143],"rules,":[145],"achieving":[146],"approximately":[147],"80%":[148],"prediction":[149],"accuracy":[150],"after":[151],"sleep-based":[152],"consolidation.":[153,169],"Performance":[154],"primarily":[156],"governed":[157],"by":[158],"representation":[160],"capacity":[161],"remaining":[163],"robust":[164],"loss":[167],"These":[170],"demonstrate":[172],"effectiveness":[174],"of":[175],"consolidation":[179],"in":[184],"resource-constrained":[185],"systems.":[187]},"counts_by_year":[],"updated_date":"2026-07-17T05:58:32.477365","created_date":"2026-07-17T00:00:00"}