{"id":"https://openalex.org/W4316660134","doi":"https://doi.org/10.1109/vcip56404.2022.10008868","title":"Spike Signal Reconstruction Based on Inter-Spike Similarity","display_name":"Spike Signal Reconstruction Based on Inter-Spike Similarity","publication_year":2022,"publication_date":"2022-12-13","ids":{"openalex":"https://openalex.org/W4316660134","doi":"https://doi.org/10.1109/vcip56404.2022.10008868"},"language":"en","primary_location":{"id":"doi:10.1109/vcip56404.2022.10008868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip56404.2022.10008868","pdf_url":null,"source":{"id":"https://openalex.org/S4363608486","display_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5115597492","display_name":"Yiyang Zhang","orcid":"https://orcid.org/0009-0008-8915-7691"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyang Zhang","raw_affiliation_strings":["NERCVT, School of Computer Science, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NERCVT, School of Computer Science, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013727612","display_name":"Ruiqin Xiong","orcid":"https://orcid.org/0000-0001-9796-0478"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqin Xiong","raw_affiliation_strings":["NERCVT, School of Computer Science, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NERCVT, School of Computer Science, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058066577","display_name":"Tiejun Huang","orcid":"https://orcid.org/0000-0002-4234-6099"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiejun Huang","raw_affiliation_strings":["NERCVT, School of Computer Science, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NERCVT, School of Computer Science, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991000294685364,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991000294685364,"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/T10540","display_name":"Advanced Fluorescence Microscopy Techniques","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.8182370662689209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7007482051849365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5987862944602966},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5473123788833618},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46577805280685425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43363291025161743},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4267123341560364},{"id":"https://openalex.org/keywords/light-intensity","display_name":"Light intensity","score":0.42226916551589966},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32178109884262085},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.19670474529266357},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19639205932617188},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.14937838912010193}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.8182370662689209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7007482051849365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5987862944602966},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5473123788833618},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46577805280685425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43363291025161743},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4267123341560364},{"id":"https://openalex.org/C3020368824","wikidata":"https://www.wikidata.org/wiki/Q6546192","display_name":"Light intensity","level":2,"score":0.42226916551589966},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32178109884262085},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.19670474529266357},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19639205932617188},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.14937838912010193},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip56404.2022.10008868","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip56404.2022.10008868","pdf_url":null,"source":{"id":"https://openalex.org/S4363608486","display_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7810971439","display_name":null,"funder_award_id":"2021YFF0900501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7981253195","display_name":null,"funder_award_id":"22127807,62072009,61931014","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1535629521","https://openalex.org/W1980178290","https://openalex.org/W2005089986","https://openalex.org/W2016574277","https://openalex.org/W2103559027","https://openalex.org/W2119350939","https://openalex.org/W2122261409","https://openalex.org/W2552290192","https://openalex.org/W2612342510","https://openalex.org/W2964554711","https://openalex.org/W3034856145","https://openalex.org/W3091703563","https://openalex.org/W3116496135","https://openalex.org/W6779738727"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W2108418243","https://openalex.org/W164103134","https://openalex.org/W2040545019","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911"],"abstract_inverted_index":{"Spike":[0,20],"camera":[1,7,21],"is":[2,9],"a":[3,24,37,44,110,129],"kind":[4],"of":[5,63,74,94,112],"bio-inspired":[6],"which":[8],"particularly":[10],"proposed":[11,145],"for":[12],"capturing":[13],"dynamic":[14,61],"scenes":[15],"with":[16],"high":[17,55],"speed":[18],"motion.":[19],"works":[22],"in":[23,86,101],"way":[25],"simulating":[26],"the":[27,40,60,72,76,84,91,98,106,119,137,144,148],"retina":[28],"that":[29,59,143],"it":[30],"receives":[31],"incoming":[32],"photons":[33,42],"continuously":[34],"and":[35,97,131,154],"fires":[36],"spike":[38,47,87,102],"whenever":[39],"accumulated":[41],"reach":[43],"threshold.":[45],"The":[46],"stream":[48],"can":[49],"be":[50,67],"recorded":[51],"at":[52],"an":[53],"extremely":[54],"temporal":[56,130],"resolution":[57],"so":[58],"process":[62],"light-intensity":[64],"changes":[65],"may":[66],"recovered.":[68],"This":[69],"paper":[70],"addresses":[71],"problem":[73],"recovering":[75],"original":[77],"visual":[78],"signal":[79],"from":[80,109,122],"spikes.":[81,115],"To":[82,116],"reduce":[83],"fluctuation":[85],"intervals":[88],"caused":[89],"by":[90],"Poisson":[92],"effect":[93,100],"photon":[95],"arrivals":[96],"quantization":[99],"reading,":[103],"we":[104,127],"estimate":[105],"real":[107],"interval":[108],"sequence":[111],"temporally":[113],"neighboring":[114],"avoid":[117],"mixing":[118],"spikes":[120],"generated":[121],"significantly":[123],"different":[124,159],"light":[125,150],"intensities,":[126],"propose":[128],"spatial":[132],"weighting":[133],"method":[134,146],"based":[135],"on":[136],"inter-spike":[138],"similarity.":[139],"Experimental":[140],"results":[141],"demonstrate":[142],"outperforms":[147],"previous":[149],"intensity":[151],"inference":[152],"methods":[153],"achieves":[155],"better":[156],"performance":[157],"under":[158],"motion":[160],"conditions.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}