{"id":"https://openalex.org/W4406948865","doi":"https://doi.org/10.1109/jssc.2025.3530513","title":"ANP-G: A 28-nm 1.04-pJ/SOP Sub-mm\u00b2 Asynchronous Hybrid Neural Network Olfactory Processor Enabling Few-Shot Class-Incremental On-Chip Learning","display_name":"ANP-G: A 28-nm 1.04-pJ/SOP Sub-mm\u00b2 Asynchronous Hybrid Neural Network Olfactory Processor Enabling Few-Shot Class-Incremental On-Chip Learning","publication_year":2025,"publication_date":"2025-01-29","ids":{"openalex":"https://openalex.org/W4406948865","doi":"https://doi.org/10.1109/jssc.2025.3530513"},"language":"en","primary_location":{"id":"doi:10.1109/jssc.2025.3530513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2025.3530513","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Solid-State Circuits","raw_type":"journal-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/A5088276807","display_name":"Dexuan Huo","orcid":"https://orcid.org/0000-0002-0452-3998"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dexuan Huo","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045658454","display_name":"Jilin Zhang","orcid":"https://orcid.org/0000-0003-1575-1520"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jilin Zhang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047817212","display_name":"Xinyu Dai","orcid":"https://orcid.org/0009-0003-7513-1507"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Dai","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112517269","display_name":"Jian Zhang","orcid":"https://orcid.org/0009-0005-8233-303X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074747392","display_name":"Chunqi Qian","orcid":"https://orcid.org/0000-0003-4528-4572"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunqi Qian","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044259295","display_name":"Kea\u2010Tiong Tang","orcid":"https://orcid.org/0000-0002-9689-1236"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kea-Tiong Tang","raw_affiliation_strings":["Electrical Engineering Department, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100420459","display_name":"Hong Chen","orcid":"https://orcid.org/0000-0003-0774-1410"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Chen","raw_affiliation_strings":["School of Integrated Circuits, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5088276807"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.3502,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77471116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"60","issue":"7","first_page":"2660","last_page":"2670"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10660","display_name":"Conducting polymers and applications","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2507","display_name":"Polymers and Plastics"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.7110609412193298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5846595764160156},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5722865462303162},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.543548583984375},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4454774856567383},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44073158502578735},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.393302857875824},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3035511374473572},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.130886971950531}],"concepts":[{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.7110609412193298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5846595764160156},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5722865462303162},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.543548583984375},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4454774856567383},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44073158502578735},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.393302857875824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3035511374473572},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.130886971950531},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jssc.2025.3530513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2025.3530513","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Solid-State Circuits","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3919743371","display_name":null,"funder_award_id":"92164110","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G691677441","display_name":null,"funder_award_id":"62334014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1570411240","https://openalex.org/W1973284608","https://openalex.org/W1973798705","https://openalex.org/W1988197612","https://openalex.org/W2022851810","https://openalex.org/W2036206885","https://openalex.org/W2043558927","https://openalex.org/W2061447319","https://openalex.org/W2071429830","https://openalex.org/W2086064090","https://openalex.org/W2131209627","https://openalex.org/W2138913040","https://openalex.org/W2151647133","https://openalex.org/W2759114475","https://openalex.org/W2783525259","https://openalex.org/W2791268528","https://openalex.org/W2873809622","https://openalex.org/W2906048113","https://openalex.org/W2955058548","https://openalex.org/W3011489868","https://openalex.org/W3037085950","https://openalex.org/W4205742288","https://openalex.org/W4220741568","https://openalex.org/W4223582338","https://openalex.org/W4321599747","https://openalex.org/W4384916618","https://openalex.org/W6687566226"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2116677773"],"abstract_inverted_index":{"The":[0,177,200],"changing":[1],"of":[2,7,26,93,163,190],"sensitivity":[3],"and":[4,14,23,40,66,130,168],"selectivity":[5],"profiles":[6],"gas":[8,56,94,170],"sensors":[9],"caused":[10,103],"by":[11,104],"sensor":[12,105],"drifting":[13],"surroundings,":[15],"leads":[16],"to":[17,81,99,142,157],"a":[18,74,136,173,182,187,207],"serious":[19],"decline":[20],"in":[21,181],"accuracy":[22,97,121],"even":[24],"invalidation":[25],"the":[27,54,82,101,155],"electronic":[28],"nose":[29],"(e-nose).":[30],"To":[31],"address":[32],"this":[33],"issue,":[34],"we":[35],"propose":[36],"an":[37],"asynchronous":[38,47,132],"spiking":[39,76],"backpropagation":[41],"hybrid":[42],"neural":[43,77],"network":[44,78],"olfactory":[45,84,201],"processor,":[46],"neuromorphic":[48],"processor-gas":[49],"recognition":[50,57],"(ANP-G),":[51],"which":[52],"is":[53,179],"first":[55],"processor":[58,156,202],"enabling":[59],"on-chip":[60,204],"class-incremental":[61],"learning":[62,139,205],"with":[63,95,111,122,135,165,172,186,203],"few":[64,115],"shot":[65,116],"concentration":[67,171],"estimation.":[68],"Its":[69],"key":[70],"features":[71,153],"include:":[72],"1)":[73],"bio-inspired":[75],"(SNN),":[79],"approximation":[80],"mammalian":[83],"system":[85],"that":[86,117],"enables":[87],"rapid":[88],"retraining":[89],"over":[90,119,148],"nine":[91,161],"types":[92],"no":[96],"loss":[98],"overcome":[100],"disturbance":[102],"drift;":[106],"2)":[107],"spike-timing-dependent":[108],"plasticity":[109],"(STDP)":[110],"lateral":[112],"inhibition":[113],"supporting":[114],"achieves":[118],"95%":[120],"less":[123],"than":[124,160],"five":[125],"training":[126,150],"samples":[127],"per":[128,193],"gas;":[129],"3)":[131],"SNN":[133],"circuits":[134],"self-skipping":[137],"epoch":[138],"(SSEL)":[140],"mechanism":[141],"skip":[143],"unnecessary":[144],"weight":[145],"update":[146],"reducing":[147],"84%":[149],"costs.":[151],"These":[152],"allow":[154],"recognize":[158],"more":[159],"kinds":[162],"gases":[164],"97.85%":[166],"accuracy,":[167],"estimate":[169],"1.83%":[174],"error":[175],"rate.":[176],"chip":[178],"fabricated":[180],"28-nm":[183],"CMOS":[184],"process":[185],"peak":[188],"efficiency":[189],"1.04":[191],"pJ":[192],"synaptic":[194],"operation":[195],"(SOP)":[196],"at":[197],"0.55":[198],"V.":[199],"provides":[206],"promising":[208],"solution":[209],"for":[210],"low-power":[211],"portable":[212],"intelligent":[213],"e-nose":[214],"systems.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-01-30T00:00:00"}