{"id":"https://openalex.org/W4398223599","doi":"https://doi.org/10.1162/neco_a_01674","title":"Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks","display_name":"Bioplausible Unsupervised Delay Learning for Extracting Spatiotemporal Features in Spiking Neural Networks","publication_year":2024,"publication_date":"2024-05-22","ids":{"openalex":"https://openalex.org/W4398223599","doi":"https://doi.org/10.1162/neco_a_01674","pmid":"https://pubmed.ncbi.nlm.nih.gov/38776969"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_01674","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1162/neco_a_01674","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5025504702","display_name":"Alireza Nadafian","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Alireza Nadafian","raw_affiliation_strings":["School of Mathematics, Statistics, and Computer Science, College of Science, University of Tehran, Tehran, Iran alirezanadafian@ut.ac.ir"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Statistics, and Computer Science, College of Science, University of Tehran, Tehran, Iran alirezanadafian@ut.ac.ir","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052221301","display_name":"\u200eMohammad Ganjtabesh","orcid":"https://orcid.org/0000-0001-8062-8794"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Ganjtabesh","raw_affiliation_strings":["School of Mathematics, Statistics, and Computer Science, College of Science, University of Tehran, Tehran, Iran mgtabesh@ut.ac.ir"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Statistics, and Computer Science, College of Science, University of Tehran, Tehran, Iran mgtabesh@ut.ac.ir","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025504702"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":null,"apc_paid":null,"fwci":0.7644,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70353441,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"36","issue":"7","first_page":"1332","last_page":"1352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998000264167786,"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":0.9998000264167786,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.7016192674636841},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6794443726539612},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.6224349141120911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5936446785926819},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5732830166816711},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5532634258270264},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5220298767089844},{"id":"https://openalex.org/keywords/competitive-learning","display_name":"Competitive learning","score":0.45663386583328247},{"id":"https://openalex.org/keywords/mathematical-proof","display_name":"Mathematical proof","score":0.4438120424747467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4277323782444},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3506680428981781},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14485692977905273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7016192674636841},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6794443726539612},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.6224349141120911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5936446785926819},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5732830166816711},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5532634258270264},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5220298767089844},{"id":"https://openalex.org/C120822770","wikidata":"https://www.wikidata.org/wiki/Q5156355","display_name":"Competitive learning","level":3,"score":0.45663386583328247},{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.4438120424747467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4277323782444},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3506680428981781},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14485692977905273},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009473","descriptor_name":"Neuronal Plasticity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009473","descriptor_name":"Neuronal Plasticity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009473","descriptor_name":"Neuronal Plasticity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009473","descriptor_name":"Neuronal Plasticity","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_01674","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1162/neco_a_01674","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:38776969","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38776969","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1483192583","https://openalex.org/W1986246844","https://openalex.org/W1995341919","https://openalex.org/W2023693164","https://openalex.org/W2033560185","https://openalex.org/W2046373003","https://openalex.org/W2048101659","https://openalex.org/W2052178206","https://openalex.org/W2059148040","https://openalex.org/W2073699108","https://openalex.org/W2087882934","https://openalex.org/W2105609812","https://openalex.org/W2107433900","https://openalex.org/W2115900486","https://openalex.org/W2126928085","https://openalex.org/W2128432504","https://openalex.org/W2145821064","https://openalex.org/W2161895953","https://openalex.org/W2168071977","https://openalex.org/W2255839289","https://openalex.org/W2745933219","https://openalex.org/W2766818318","https://openalex.org/W2770942550","https://openalex.org/W2883294120","https://openalex.org/W2889223118","https://openalex.org/W2913606428","https://openalex.org/W2924112519","https://openalex.org/W3006966652","https://openalex.org/W3015854248","https://openalex.org/W4211163766","https://openalex.org/W4238614602","https://openalex.org/W4312438958","https://openalex.org/W6684807992"],"related_works":["https://openalex.org/W2590565095","https://openalex.org/W2160366419","https://openalex.org/W2149471286","https://openalex.org/W2055870375","https://openalex.org/W2986085304","https://openalex.org/W2735207540","https://openalex.org/W4214864280","https://openalex.org/W1520894008","https://openalex.org/W1530541224","https://openalex.org/W2149594649"],"abstract_inverted_index":{"The":[0,124],"plasticity":[1],"of":[2,92,104,119,130],"the":[3,28,33,48,75,85,90,102,128],"conduction":[4],"delay":[5,134],"between":[6],"neurons":[7],"plays":[8],"a":[9,43,117],"fundamental":[10],"role":[11],"in":[12,32,54,78,95,137,141],"learning":[13,71,96,106,135],"temporal":[14],"features":[15,140],"that":[16],"are":[17,38],"essential":[18],"for":[19,35,45,73],"processing":[20],"videos,":[21],"speech,":[22],"and":[23,58,116],"many":[24],"high-level":[25],"functions.":[26],"However,":[27],"exact":[29],"underlying":[30],"mechanisms":[31],"brain":[34],"this":[36,64],"modulation":[37],"still":[39],"under":[40],"investigation.":[41],"Devising":[42],"rule":[44,72,94,136],"precisely":[46],"adjusting":[47,74],"synaptic":[49,76],"delays":[50,77],"could":[51],"eventually":[52],"help":[53],"developing":[55],"more":[56],"efficient":[57],"powerful":[59],"brain-inspired":[60],"computational":[61],"models.":[62],"In":[63],"article,":[65],"we":[66,108],"propose":[67],"an":[68,142],"unsupervised":[69],"bioplausible":[70],"spiking":[79,144],"neural":[80,145],"networks.":[81],"We":[82],"also":[83],"provide":[84],"mathematical":[86],"proofs":[87],"to":[88,100],"show":[89,101],"convergence":[91],"our":[93,105,132],"spatiotemporal":[97,139],"patterns.":[98],"Furthermore,":[99],"effectiveness":[103],"rule,":[107],"conducted":[109],"several":[110],"experiments":[111],"on":[112],"random":[113],"dot":[114],"kinematogram":[115],"subset":[118],"DVS128":[120],"Gesture":[121],"data":[122],"sets.":[123],"experimental":[125],"results":[126],"indicate":[127],"efficiency":[129],"applying":[131],"proposed":[133],"extracting":[138],"STDP-based":[143],"network.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}