{"id":"https://openalex.org/W4313158102","doi":"https://doi.org/10.1109/ijcnn55064.2022.9891925","title":"Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies","display_name":"Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4313158102","doi":"https://doi.org/10.1109/ijcnn55064.2022.9891925"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9891925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9891925","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://purehost.bath.ac.uk/ws/files/285806978/IJCNN2022_AssemblySTDP_Final_IEEE.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042695301","display_name":"Vahid Saranirad","orcid":"https://orcid.org/0000-0002-2787-4352"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Vahid Saranirad","raw_affiliation_strings":["Ulster University,Intelligent Systems Research Centre,Derry, Northern Ireland,UK","Intelligent Systems Research Centre, Ulster University, Derry, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"Ulster University,Intelligent Systems Research Centre,Derry, Northern Ireland,UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"Intelligent Systems Research Centre, Ulster University, Derry, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091517700","display_name":"Shirin Dora","orcid":"https://orcid.org/0000-0001-6182-4124"},"institutions":[{"id":"https://openalex.org/I143804889","display_name":"Loughborough University","ror":"https://ror.org/04vg4w365","country_code":"GB","type":"education","lineage":["https://openalex.org/I143804889"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shirin Dora","raw_affiliation_strings":["Loughborough University,Department of Computer Science,Loughborough,UK","Department of Computer Science, Loughborough University, Loughborough, UK"],"affiliations":[{"raw_affiliation_string":"Loughborough University,Department of Computer Science,Loughborough,UK","institution_ids":["https://openalex.org/I143804889"]},{"raw_affiliation_string":"Department of Computer Science, Loughborough University, Loughborough, UK","institution_ids":["https://openalex.org/I143804889"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077410877","display_name":"T.M. McGinnity","orcid":"https://orcid.org/0000-0002-9897-4748"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"T.M. McGinnity","raw_affiliation_strings":["Ulster University,Intelligent Systems Research Centre,Derry, Northern Ireland,UK","Intelligent Systems Research Centre, Ulster University, Derry, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"Ulster University,Intelligent Systems Research Centre,Derry, Northern Ireland,UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"Intelligent Systems Research Centre, Ulster University, Derry, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040873360","display_name":"Damien Coyle","orcid":"https://orcid.org/0000-0002-4739-1040"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Damien Coyle","raw_affiliation_strings":["Ulster University,Intelligent Systems Research Centre,Derry, Northern Ireland,UK","Intelligent Systems Research Centre, Ulster University, Derry, Northern Ireland, UK"],"affiliations":[{"raw_affiliation_string":"Ulster University,Intelligent Systems Research Centre,Derry, Northern Ireland,UK","institution_ids":["https://openalex.org/I138801177"]},{"raw_affiliation_string":"Intelligent Systems Research Centre, Ulster University, Derry, Northern Ireland, UK","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042695301"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":0.9602,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72809766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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":1.0,"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":0.9986000061035156,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.899796724319458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7878082990646362},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6163467168807983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6016145944595337},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.570931613445282},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5516414046287537},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5241644382476807},{"id":"https://openalex.org/keywords/sigmoid-function","display_name":"Sigmoid function","score":0.4610952138900757},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4122158885002136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34976738691329956}],"concepts":[{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.899796724319458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7878082990646362},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6163467168807983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6016145944595337},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.570931613445282},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5516414046287537},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5241644382476807},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.4610952138900757},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4122158885002136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34976738691329956},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9891925","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9891925","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:purehost.bath.ac.uk:openaire/ad0ab2a7-fc39-4dc5-93ab-24785de2caf2","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/ad0ab2a7-fc39-4dc5-93ab-24785de2caf2","pdf_url":"https://purehost.bath.ac.uk/ws/files/285806978/IJCNN2022_AssemblySTDP_Final_IEEE.pdf","source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Saranirad, V, Dora, S, McGinnity, T M & Coyle, D 2022, Assembly-based STDP : A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies. in 2022 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN), United States, pp. 1-7. https://doi.org/10.1109/ijcnn55064.2022.9891925","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:figshare.com:article/19666077","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Assembly-based_STDP_a_new_learning_rule_for_spiking_neural_networks_inspired_by_biological_assemblies/19666077","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:openaire/ab0f7867-294a-462b-b61e-8fadb70f61fa","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/ab0f7867-294a-462b-b61e-8fadb70f61fa","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Saranirad, V, Dora, S, McGinnity, T M & Coyle, D 2022, Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies. in 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-7. https://doi.org/10.1109/ijcnn55064.2022.9891925","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/ab0f7867-294a-462b-b61e-8fadb70f61fa","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85140742668&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Saranirad, V, Dora, S, McGinnity, T M & Coyle, D 2022, Assembly-based STDP: A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies. in 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-7. https://doi.org/10.1109/ijcnn55064.2022.9891925","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:purehost.bath.ac.uk:openaire/ad0ab2a7-fc39-4dc5-93ab-24785de2caf2","is_oa":true,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/ad0ab2a7-fc39-4dc5-93ab-24785de2caf2","pdf_url":"https://purehost.bath.ac.uk/ws/files/285806978/IJCNN2022_AssemblySTDP_Final_IEEE.pdf","source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Saranirad, V, Dora, S, McGinnity, T M & Coyle, D 2022, Assembly-based STDP : A New Learning Rule for Spiking Neural Networks Inspired by Biological Assemblies. in 2022 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks (IJCNN), United States, pp. 1-7. https://doi.org/10.1109/ijcnn55064.2022.9891925","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1332530600","display_name":null,"funder_award_id":"EP /T022175","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4979081001","display_name":null,"funder_award_id":"EP/V025724/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313158102.pdf","grobid_xml":"https://content.openalex.org/works/W4313158102.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1203519395","https://openalex.org/W1570411240","https://openalex.org/W1587989265","https://openalex.org/W1680392829","https://openalex.org/W1967904790","https://openalex.org/W2006174699","https://openalex.org/W2065158671","https://openalex.org/W2089620376","https://openalex.org/W2160615070","https://openalex.org/W2162827630","https://openalex.org/W2163982115","https://openalex.org/W2165639766","https://openalex.org/W2170968634","https://openalex.org/W2241968151","https://openalex.org/W2271476098","https://openalex.org/W2569813014","https://openalex.org/W2618255684","https://openalex.org/W2736237086","https://openalex.org/W2779025322","https://openalex.org/W2782973718","https://openalex.org/W2798878556","https://openalex.org/W2801844931","https://openalex.org/W2805087868","https://openalex.org/W2892632544","https://openalex.org/W2896104439","https://openalex.org/W2942803402","https://openalex.org/W2968865419","https://openalex.org/W3033478716","https://openalex.org/W3105516366","https://openalex.org/W3120740533","https://openalex.org/W3202095041","https://openalex.org/W4255770584","https://openalex.org/W6637386731"],"related_works":["https://openalex.org/W1604847762","https://openalex.org/W2186629877","https://openalex.org/W1629725936","https://openalex.org/W2086999410","https://openalex.org/W2338394561","https://openalex.org/W2240896738","https://openalex.org/W246564837","https://openalex.org/W2114873881","https://openalex.org/W2609564064","https://openalex.org/W4313158102"],"abstract_inverted_index":{"Spiking":[0],"Neural":[1],"Networks":[2],"(SNNs),":[3],"An":[4],"alternative":[5,67],"to":[6,24,115,189],"sigmoidal":[7,28],"neural":[8,29,59],"networks,":[9],"include":[10],"time":[11],"into":[12],"their":[13],"operations":[14],"using":[15],"discrete":[16],"signals":[17],"called":[18],"spikes.":[19],"Employing":[20],"spikes":[21],"enables":[22],"SNNs":[23],"mimic":[25],"any":[26],"feedforward":[27],"network":[30,60],"with":[31,165],"lower":[32],"power":[33],"consumption.":[34],"Recently":[35],"a":[36,56,76],"new":[37,77,102],"type":[38],"of":[39,50,79,90,145],"SNN":[40,52,68],"has":[41],"been":[42],"introduced":[43],"for":[44,98],"classification":[45],"problems,":[46],"known":[47,105],"as":[48,65,106],"Degree":[49],"Belonging":[51],"(DoB-SNN).":[53],"DoB-SNN":[54,148,174],"is":[55,85,149],"two-layer":[57],"spiking":[58],"that":[61,171,192],"shows":[62],"significant":[63],"potential":[64],"an":[66],"architecture":[69],"and":[70,92,120,182],"learning":[71,103,158,168],"algorithm.":[72],"This":[73],"paper":[74],"introduces":[75],"variant":[78],"Spike-Timing":[80],"Dependent":[81],"Plasticity":[82],"(STDP),":[83],"which":[84],"based":[86],"on":[87,151,162,179,185],"the":[88,94,117,127,146,155,172],"assembly":[89,129],"neurons":[91,125,135],"expands":[93],"DoB-SNN's":[95],"training":[96],"algorithm":[97],"multilayer":[99,147,173,190],"architectures.":[100],"The":[101,143],"rule,":[104],"assembly-based":[107],"STDP,":[108],"employs":[109],"trained":[110],"DoBs":[111],"in":[112,139],"each":[113],"layer":[114,119],"train":[116],"next":[118],"build":[121],"strong":[122],"connections":[123,133],"between":[124,134],"from":[126,136,154],"same":[128],"while":[130],"creating":[131],"inhibitory":[132],"different":[137],"assemblies":[138],"two":[140],"consecutive":[141],"layers.":[142],"performance":[144,178,184],"evaluated":[150],"five":[152],"datasets":[153,164,181],"UCI":[156],"machine":[157],"repository.":[159],"Detailed":[160],"comparisons":[161],"these":[163],"other":[166],"supervised":[167],"algorithms":[169,191],"show":[170],"can":[175],"achieve":[176],"better":[177],"4/5":[180],"comparable":[183],"5th":[186],"when":[187],"compared":[188],"employ":[193],"considerably":[194],"more":[195],"trainable":[196],"parameters.":[197]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}