{"id":"https://openalex.org/W4414798849","doi":"https://doi.org/10.1109/access.2025.3617570","title":"A Convolutional Neural Network to Spiking Neural Network Conversion Framework for Seismic Denoising","display_name":"A Convolutional Neural Network to Spiking Neural Network Conversion Framework for Seismic Denoising","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414798849","doi":"https://doi.org/10.1109/access.2025.3617570"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3617570","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3617570","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3617570","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052286489","display_name":"Shuna Chen","orcid":"https://orcid.org/0000-0003-1462-4677"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]},{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuna Chen","raw_affiliation_strings":["College of Computer Engineering, Chengdu Technological University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-1462-4677","affiliations":[{"raw_affiliation_string":"College of Computer Engineering, Chengdu Technological University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I4210125143","https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069720891","display_name":"Zhege Liu","orcid":"https://orcid.org/0000-0002-8177-6403"},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]},{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhege Liu","raw_affiliation_strings":["Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, China","Sichuan Provincial Key University Laboratory of Meteorological Information and Signal Processing, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-8177-6403","affiliations":[{"raw_affiliation_string":"Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, China","institution_ids":["https://openalex.org/I177739611"]},{"raw_affiliation_string":"Sichuan Provincial Key University Laboratory of Meteorological Information and Signal Processing, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058604708","display_name":"Ziyu Qin","orcid":"https://orcid.org/0000-0002-3748-1069"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]},{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyu Qin","raw_affiliation_strings":["College of Computer Engineering, Chengdu Technological University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3748-1069","affiliations":[{"raw_affiliation_string":"College of Computer Engineering, Chengdu Technological University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I4210125143","https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103095450","display_name":"Xinyi Liu","orcid":"https://orcid.org/0000-0002-6712-4599"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]},{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyi Liu","raw_affiliation_strings":["College of Computer Engineering, Chengdu Technological University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-6712-4599","affiliations":[{"raw_affiliation_string":"College of Computer Engineering, Chengdu Technological University, Chengdu, China","institution_ids":["https://openalex.org/I24201400","https://openalex.org/I4210125143","https://openalex.org/I31595395"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024293043","display_name":"Yajuan Xue","orcid":"https://orcid.org/0000-0002-3505-9868"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajuan Xue","raw_affiliation_strings":["Sichuan Provincial Key University Laboratory of Meteorological Information and Signal Processing, Chengdu University of Information Technology, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-3505-9868","affiliations":[{"raw_affiliation_string":"Sichuan Provincial Key University Laboratory of Meteorological Information and Signal Processing, Chengdu University of Information Technology, Chengdu, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049003401","display_name":"Junxing Cao","orcid":"https://orcid.org/0000-0002-5940-7492"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxing Cao","raw_affiliation_strings":["College of Geophysics, Chengdu University of Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Geophysics, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24048909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"172203","last_page":"172215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9876000285148621,"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/T11757","display_name":"Seismic Waves and Analysis","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6883999705314636},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5990999937057495},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5740000009536743},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5550000071525574},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5400999784469604},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4893999993801117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4571000039577484},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4101000130176544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.835099995136261},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6883999705314636},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5990999937057495},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5740000009536743},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5550000071525574},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5400999784469604},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4893999993801117},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47269999980926514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4571000039577484},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4101000130176544},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3711000084877014},{"id":"https://openalex.org/C2779795794","wikidata":"https://www.wikidata.org/wiki/Q7315343","display_name":"Reset (finance)","level":2,"score":0.3698999881744385},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2994000017642975},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2962999939918518},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2793999910354614},{"id":"https://openalex.org/C33010914","wikidata":"https://www.wikidata.org/wiki/Q7291980","display_name":"Random neural network","level":4,"score":0.263700008392334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3617570","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3617570","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:98ab263fea9741ccaaeae829142eb4c7","is_oa":true,"landing_page_url":"https://doaj.org/article/98ab263fea9741ccaaeae829142eb4c7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 172203-172215 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3617570","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3617570","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1114570695","display_name":null,"funder_award_id":"42030812","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3449059311","display_name":null,"funder_award_id":"42474145","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6458340580","display_name":null,"funder_award_id":"42330813","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G881456226","display_name":null,"funder_award_id":"42342026","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0,153],"study":[1],"investigates":[2],"the":[3,49,101,122,145,156],"application":[4,159],"of":[5,160],"Spiking":[6],"Neural":[7,18],"Network":[8,19],"(SNN)":[9],"in":[10],"seismic":[11,36,74,86,163],"signal":[12,164],"denoising":[13,39,75],"by":[14],"developing":[15],"a":[16,137,167],"Convolutional":[17],"(CNN)":[20],"to":[21,70,96,162,170],"SNN":[22,63,129,161],"conversion":[23],"framework.":[24],"We":[25],"focus":[26],"on":[27,48],"two":[28],"challenges:":[29],"optimal":[30],"spike":[31],"encoding":[32,83],"strategy":[33,109],"adaptation":[34],"for":[35,73],"data;":[37],"and":[38,54,127,148],"performance":[40,119],"preservation":[41],"during":[42],"CNN-SNN":[43,150],"conversion.":[44],"Through":[45],"systematic":[46],"experiments":[47],"public":[50],"Marmousi":[51],"2":[52],"dataset":[53],"field":[55],"data":[56],"from":[57],"Sichuan":[58],"Basin,":[59],"we":[60,135],"demonstrate":[61],"that":[62,81,120],"can":[64],"feasibly":[65],"serve":[66],"as":[67],"an":[68],"alternative":[69,169],"traditional":[71],"CNN":[72,126,147,172],"tasks.":[76],"The":[77],"proposed":[78],"framework":[79],"demonstrates":[80,155],"count-rate":[82],"preserves":[84],"critical":[85],"temporal":[87],"features":[88],"far":[89],"more":[90],"effectively":[91],"than":[92],"time-to-first-spike":[93],"coding,":[94],"owing":[95],"its":[97,149],"inherent":[98],"alignment":[99,139],"with":[100,114],"network\u2019s":[102],"synchronous,":[103],"rate-based":[104],"representation.":[105],"Our":[106],"neuron":[107],"optimization":[108],"combines":[110],"soft":[111],"reset":[112],"mechanisms":[113],"adaptive":[115],"thresholding,":[116],"demonstrating":[117],"enhanced":[118],"narrows":[121],"gap":[123],"between":[124,144],"native":[125,146],"converted":[128,151],"implementations.":[130],"To":[131],"enable":[132],"rigorous":[133],"evaluation,":[134],"introduce":[136],"baseline":[138],"scheme":[140],"ensuring":[141],"fair":[142],"comparison":[143],"architecture.":[152],"work":[154],"first":[157],"successful":[158],"denoising,":[165],"offering":[166],"bio-inspired":[168],"conventional":[171],"while":[173],"preserving":[174],"comparable":[175],"signal-to-noise":[176],"ratio":[177],"performance.":[178]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}