{"id":"https://openalex.org/W4400811087","doi":"https://doi.org/10.1109/aicas59952.2024.10595881","title":"DualNet: Efficient Integration of Artificial Neural Network and Spiking Neural Network with Equivalent Conversion","display_name":"DualNet: Efficient Integration of Artificial Neural Network and Spiking Neural Network with Equivalent Conversion","publication_year":2024,"publication_date":"2024-04-22","ids":{"openalex":"https://openalex.org/W4400811087","doi":"https://doi.org/10.1109/aicas59952.2024.10595881"},"language":"en","primary_location":{"id":"doi:10.1109/aicas59952.2024.10595881","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aicas59952.2024.10595881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS)","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/A5086945425","display_name":"Seongyon Hong","orcid":"https://orcid.org/0009-0002-8891-735X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongyon Hong","raw_affiliation_strings":["KAIST,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100748588","display_name":"Sangyeob Kim","orcid":"https://orcid.org/0000-0002-1783-5296"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangyeob Kim","raw_affiliation_strings":["KAIST,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350562","display_name":"Soyeon Kim","orcid":"https://orcid.org/0000-0001-7049-9191"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soyeon Kim","raw_affiliation_strings":["KAIST,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077896259","display_name":"Hoi\u2010Jun Yoo","orcid":"https://orcid.org/0000-0002-6661-4879"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoi-Jun Yoo","raw_affiliation_strings":["KAIST,Daejeon,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST,Daejeon,Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.08010258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9887999892234802,"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":0.9887999892234802,"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/T10320","display_name":"Neural Networks and Applications","score":0.947700023651123,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7768380641937256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6793224811553955},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6313483715057373},{"id":"https://openalex.org/keywords/physical-neural-network","display_name":"Physical neural network","score":0.6244361996650696},{"id":"https://openalex.org/keywords/nervous-system-network-models","display_name":"Nervous system network models","score":0.5731344223022461},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.5008029937744141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47492533922195435},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.4501872956752777}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7768380641937256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6793224811553955},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6313483715057373},{"id":"https://openalex.org/C33766855","wikidata":"https://www.wikidata.org/wiki/Q7189618","display_name":"Physical neural network","level":5,"score":0.6244361996650696},{"id":"https://openalex.org/C173079777","wikidata":"https://www.wikidata.org/wiki/Q4299350","display_name":"Nervous system network models","level":5,"score":0.5731344223022461},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.5008029937744141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47492533922195435},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.4501872956752777}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aicas59952.2024.10595881","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/aicas59952.2024.10595881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1645800954","https://openalex.org/W1999085092","https://openalex.org/W2020676607","https://openalex.org/W2744013291","https://openalex.org/W2780265514","https://openalex.org/W2783525259","https://openalex.org/W2963163009","https://openalex.org/W2964338223","https://openalex.org/W3035644810","https://openalex.org/W3097140984","https://openalex.org/W3118608800","https://openalex.org/W3126711481","https://openalex.org/W3147709328","https://openalex.org/W3175674467","https://openalex.org/W3200309693","https://openalex.org/W3200729277","https://openalex.org/W4280646580","https://openalex.org/W4285247025","https://openalex.org/W4360605360","https://openalex.org/W4376605435"],"related_works":["https://openalex.org/W4387656273","https://openalex.org/W1584270863","https://openalex.org/W180587397","https://openalex.org/W2765937093","https://openalex.org/W1595652908","https://openalex.org/W3109717595","https://openalex.org/W2950022897","https://openalex.org/W4292953721","https://openalex.org/W1973323485","https://openalex.org/W2104698839"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,66],"propose":[4,67],"Dual":[5],"Neural":[6],"Network":[7],"(DualNet),":[8],"which":[9],"integrates":[10],"ANN":[11,36,59,82],"and":[12,26,58,83,111,126,142,148],"SNN":[13,42,56,84],"into":[14],"a":[15,68,90],"single":[16],"network":[17],"with":[18],"layer-by-layer":[19],"combinations,":[20],"resulting":[21],"in":[22,144],"high":[23],"energy":[24,118],"efficiency":[25],"accuracy.":[27],"We":[28],"introduce":[29],"ANN-to-SNN":[30],"equivalent":[31,41],"conversion":[32,46],"(ASEC)":[33],"that":[34,138],"converts":[35],"layers":[37,43],"to":[38,73,98,121,128],"the":[39,51,63,75],"arithmetically":[40],"without":[44],"any":[45],"error.":[47],"This":[48],"method":[49,72],"enables":[50],"transfer":[52],"of":[53,77,146],"activation":[54],"between":[55,81],"patches":[57,60],"while":[61,115],"maintaining":[62],"equivalence.":[64],"Also,":[65],"computational":[69,86,117,149],"domain":[70,76],"selection":[71],"allocate":[74],"each":[78],"input":[79],"patch":[80],"for":[85],"cost":[87],"minimization.":[88],"As":[89],"result,":[91],"DualNets":[92,139],"show":[93,137],"no":[94],"accuracy":[95,147],"loss":[96],"compared":[97],"ANNs":[99,125,141],"on":[100],"large-scale":[101],"datasets":[102],"such":[103],"as":[104],"CIFAR10":[105],"(94.13%":[106],"top-1),":[107,110,114],"CIFAR100":[108],"(72.78%":[109],"ImageNet":[112],"(72.03%":[113],"their":[116],"is":[119],"up":[120,127],"47.8%":[122],"lower":[123,130],"than":[124,131],"35.1%":[129],"SNNs.":[132],"The":[133],"experimental":[134],"results":[135],"clearly":[136],"outperform":[140],"SNNs":[143],"terms":[145],"cost.":[150]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
