{"id":"https://openalex.org/W3186295743","doi":"https://doi.org/10.1109/access.2021.3099492","title":"Incorporating Structural Plasticity Approaches in Spiking Neural Networks for EEG Modelling","display_name":"Incorporating Structural Plasticity Approaches in Spiking Neural Networks for EEG Modelling","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3186295743","doi":"https://doi.org/10.1109/access.2021.3099492","mag":"3186295743"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3099492","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3099492","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09493873.pdf","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://ieeexplore.ieee.org/ielx7/6287639/9312710/09493873.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084106766","display_name":"Mahima Milinda Alwis Weerasinghe","orcid":"https://orcid.org/0000-0001-5522-0308"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mahima Milinda Alwis Weerasinghe","raw_affiliation_strings":["Department of Computer Science, Auckland University of Technology, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Auckland University of Technology, Auckland, New Zealand","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024163413","display_name":"Josafath I. Espinosa\u2010Ramos","orcid":"https://orcid.org/0000-0001-5128-0610"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Josafath I. Espinosa-Ramos","raw_affiliation_strings":["Department of Computer Science, Auckland University of Technology, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Auckland University of Technology, Auckland, New Zealand","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774729","display_name":"Grace Wang","orcid":"https://orcid.org/0000-0003-2063-031X"},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Grace Y. Wang","raw_affiliation_strings":["Department of Psychology and Neuroscience, Auckland University of Technology, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology and Neuroscience, Auckland University of Technology, Auckland, New Zealand","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047883876","display_name":"Dave Parry","orcid":null},"institutions":[{"id":"https://openalex.org/I39854758","display_name":"Auckland University of Technology","ror":"https://ror.org/01zvqw119","country_code":"NZ","type":"education","lineage":["https://openalex.org/I39854758"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Dave Parry","raw_affiliation_strings":["Department of Computer Science, Auckland University of Technology, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Auckland University of Technology, Auckland, New Zealand","institution_ids":["https://openalex.org/I39854758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.8136,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.72057004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"9","issue":null,"first_page":"117338","last_page":"117348"},"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":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.8599525690078735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7288523316383362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.648770809173584},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6165323257446289},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.5462637543678284},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5449976921081543},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4803937077522278},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47611719369888306},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.46462568640708923},{"id":"https://openalex.org/keywords/hebbian-theory","display_name":"Hebbian theory","score":0.44500190019607544},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.43892306089401245},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.20377609133720398},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.20351359248161316},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08544057607650757}],"concepts":[{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.8599525690078735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7288523316383362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.648770809173584},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6165323257446289},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.5462637543678284},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5449976921081543},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4803937077522278},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47611719369888306},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.46462568640708923},{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.44500190019607544},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.43892306089401245},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.20377609133720398},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.20351359248161316},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08544057607650757},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2021.3099492","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3099492","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09493873.pdf","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:eprints.usq.edu.au:48396","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400692","display_name":"University of Southern Queensland ePrints (University of Southern Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I185523456","host_organization_name":"University of Southern Queensland","host_organization_lineage":["https://openalex.org/I185523456"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article (Commonwealth Reporting Category C)"},{"id":"pmh:oai:doaj.org/article:7cbe126ed4ec49ef9393ced00a1b2d65","is_oa":true,"landing_page_url":"https://doaj.org/article/7cbe126ed4ec49ef9393ced00a1b2d65","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 9, Pp 117338-117348 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3099492","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3099492","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09493873.pdf","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":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3186295743.pdf","grobid_xml":"https://content.openalex.org/works/W3186295743.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W101771737","https://openalex.org/W143682440","https://openalex.org/W210506677","https://openalex.org/W601514509","https://openalex.org/W1203519395","https://openalex.org/W1486852018","https://openalex.org/W1570411240","https://openalex.org/W1595159159","https://openalex.org/W1645800954","https://openalex.org/W1990221069","https://openalex.org/W2002055708","https://openalex.org/W2006370340","https://openalex.org/W2019598563","https://openalex.org/W2039573396","https://openalex.org/W2047464531","https://openalex.org/W2062466430","https://openalex.org/W2064044177","https://openalex.org/W2066563704","https://openalex.org/W2068566049","https://openalex.org/W2113359311","https://openalex.org/W2113536146","https://openalex.org/W2142505562","https://openalex.org/W2144205281","https://openalex.org/W2147101007","https://openalex.org/W2153564253","https://openalex.org/W2162003043","https://openalex.org/W2163982115","https://openalex.org/W2167557160","https://openalex.org/W2293833522","https://openalex.org/W2301888327","https://openalex.org/W2318538289","https://openalex.org/W2511866018","https://openalex.org/W2513853720","https://openalex.org/W2572280252","https://openalex.org/W2605367287","https://openalex.org/W2611174197","https://openalex.org/W2766049766","https://openalex.org/W2798878556","https://openalex.org/W2898323475","https://openalex.org/W2899800683","https://openalex.org/W2904463929","https://openalex.org/W2940297489","https://openalex.org/W2963868833","https://openalex.org/W2963966976","https://openalex.org/W2967222463","https://openalex.org/W2970493446","https://openalex.org/W2990793844","https://openalex.org/W3033914268","https://openalex.org/W6608523365","https://openalex.org/W6662231202","https://openalex.org/W6698185673","https://openalex.org/W6735963690"],"related_works":["https://openalex.org/W2607244157","https://openalex.org/W4391232523","https://openalex.org/W2113117949","https://openalex.org/W3126544799","https://openalex.org/W2236252583","https://openalex.org/W4293380851","https://openalex.org/W2998073245","https://openalex.org/W2944910788","https://openalex.org/W4234662053","https://openalex.org/W2912471387"],"abstract_inverted_index":{"Structural":[0],"Plasticity":[1,221],"(SP)":[2],"in":[3,14,41,70,139,162],"the":[4,37,55,85,93,99,107,122,128,169,202,207,231],"brain":[5],"is":[6,51],"a":[7,63,185,192],"process":[8],"that":[9,30,227],"allows":[10],"structural":[11],"neuronal":[12],"changes,":[13],"response":[15],"to":[16,34,67,91,120,230],"learning.":[17],"Spiking":[18],"Neural":[19],"Networks":[20,131],"(SNN)":[21],"are":[22],"an":[23,60],"emerging":[24],"form":[25],"of":[26,39,75,96,106,127,188,204,233],"artificial":[27],"neural":[28],"networks":[29,170,183],"use":[31,59],"brain-inspired":[32],"techniques":[33],"learn.":[35],"However,":[36],"application":[38],"SP":[40,69,133,172,234],"SNNs,":[42],"its":[43],"impact":[44],"on":[45],"overall":[46],"learning,":[47],"and":[48,88,117,125,136,143,159,165,191,223],"network":[49,129],"behaviour":[50,126],"rarely":[52],"explored.":[53],"In":[54],"present":[56],"study,":[57],"we":[58],"SNN":[61,151],"with":[62,103,115,132,171],"single":[64],"hidden":[65,100,208],"layer,":[66],"apply":[68],"classifying":[71,140,163],"Electroencephalography":[72],"(EEG)":[73],"signals":[74],"two":[76],"publicly":[77],"available":[78],"datasets.":[79],"We":[80],"considered":[81],"classification":[82,156],"accuracy":[83],"as":[84],"learning":[86,222,235],"capability":[87],"applied":[89],"metaheuristics":[90],"derive":[92],"optimised":[94,110],"number":[95,187],"neurons":[97,190,210],"for":[98,153,194,215,237],"layer":[101,209],"along":[102],"other":[104],"hyperparameters":[105],"network.":[108],"The":[109,149],"structure":[111],"was":[112],"then":[113],"compared":[114],"overgrown":[116],"undergrown":[118],"structures":[119],"compare":[121],"accuracy,":[123],"stability,":[124],"properties.":[130],"yielded":[134],"~94%":[135],"~92%":[137],"accuracies":[138,161],"wrist":[141],"positions":[142],"mental":[144,154],"states(stressed":[145],"vs":[146],"relaxed)":[147],"respectively.":[148],"same":[150],"developed":[152],"stress":[155],"produced":[157],"~77%":[158],"~73%":[160],"arousal":[164],"valence":[166],"states.":[167],"Moreover,":[168],"demonstrated":[173],"superior":[174],"performance":[175],"stability":[176],"during":[177],"iterative":[178],"random":[179],"initiations.":[180],"Interestingly,":[181],"these":[182],"had":[184],"smaller":[186],"inactive":[189],"preference":[193],"lowered":[195],"neuron":[196],"firing":[197],"thresholds.":[198],"This":[199],"research":[200],"highlights":[201],"importance":[203],"systematically":[205],"selecting":[206],"over":[211],"arbitrary":[212],"settings,":[213],"particularly":[214],"SNNs":[216],"using":[217],"Spike":[218],"Time":[219],"Dependent":[220],"provides":[224],"potential":[225],"findings":[226],"may":[228],"lead":[229],"development":[232],"algorithms":[236],"SNNs.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}