{"id":"https://openalex.org/W2154616847","doi":"https://doi.org/10.1142/s0129065712500128","title":"SPAN: SPIKE PATTERN ASSOCIATION NEURON FOR LEARNING SPATIO-TEMPORAL SPIKE PATTERNS","display_name":"SPAN: SPIKE PATTERN ASSOCIATION NEURON FOR LEARNING SPATIO-TEMPORAL SPIKE PATTERNS","publication_year":2012,"publication_date":"2012-06-08","ids":{"openalex":"https://openalex.org/W2154616847","doi":"https://doi.org/10.1142/s0129065712500128","mag":"2154616847","pmid":"https://pubmed.ncbi.nlm.nih.gov/22830962"},"language":"en","primary_location":{"id":"doi:10.1142/s0129065712500128","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065712500128","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078175363","display_name":"Ammar W. Mohemmed","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":true,"raw_author_name":"AMMAR MOHEMMED","raw_affiliation_strings":["Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058866047","display_name":"Stefan Schliebs","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":"STEFAN SCHLIEBS","raw_affiliation_strings":["Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand","institution_ids":["https://openalex.org/I39854758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101916084","display_name":"Satoshi Matsuda","orcid":"https://orcid.org/0000-0003-2617-225X"},"institutions":[{"id":"https://openalex.org/I104946051","display_name":"Nihon University","ror":"https://ror.org/05jk51a88","country_code":"JP","type":"education","lineage":["https://openalex.org/I104946051"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"SATOSHI MATSUDA","raw_affiliation_strings":["Department of Mathematical Information Engineering, Nihon University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Information Engineering, Nihon University, Japan","institution_ids":["https://openalex.org/I104946051"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024893012","display_name":"Nikola Kasabov","orcid":"https://orcid.org/0000-0003-4433-7521"},"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"]},{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]},{"id":"https://openalex.org/I12708293","display_name":"SIB Swiss Institute of Bioinformatics","ror":"https://ror.org/002n09z45","country_code":"CH","type":"funder","lineage":["https://openalex.org/I12708293"]}],"countries":["CH","NZ"],"is_corresponding":false,"raw_author_name":"NIKOLA KASABOV","raw_affiliation_strings":["Institute for Neuroinformatics, ETH and University of Zurich, Switzerland","Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Neuroinformatics, ETH and University of Zurich, Switzerland","institution_ids":["https://openalex.org/I12708293","https://openalex.org/I202697423"]},{"raw_affiliation_string":"Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, New Zealand","institution_ids":["https://openalex.org/I39854758"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078175363"],"corresponding_institution_ids":["https://openalex.org/I39854758"],"apc_list":null,"apc_paid":null,"fwci":16.7358,"has_fulltext":false,"cited_by_count":275,"citation_normalized_percentile":{"value":0.99417325,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"22","issue":"04","first_page":"1250012","last_page":"1250012"},"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":0.9998000264167786,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9994999766349792,"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/spike","display_name":"Spike (software development)","score":0.8356974124908447},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7893009185791016},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.6545003652572632},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.6217820048332214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5944344997406006},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5909322500228882},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.5464394092559814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4920911192893982},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.47790274024009705},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4318588674068451},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41678228974342346},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.411532998085022}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.8356974124908447},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893009185791016},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.6545003652572632},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.6217820048332214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5944344997406006},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5909322500228882},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.5464394092559814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4920911192893982},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.47790274024009705},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4318588674068451},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41678228974342346},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.411532998085022},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[{"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001245","descriptor_name":"Association Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001245","descriptor_name":"Association Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001245","descriptor_name":"Association Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","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":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","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":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1142/s0129065712500128","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129065712500128","pdf_url":null,"source":{"id":"https://openalex.org/S197665576","display_name":"International Journal of Neural Systems","issn_l":"0129-0657","issn":["0129-0657","1793-6462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Neural Systems","raw_type":"journal-article"},{"id":"pmid:22830962","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22830962","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":"International journal of neural systems","raw_type":null},{"id":"pmh:oai:www.zora.uzh.ch:75343","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Mohemmed, A; Schliebs, S; Matsuda, S; Kasabov, N  (2012). SPAN: spike pattern association neuron for learning spatio-temporal sequences.  International journal of neural systems, 22(4):1250012.","raw_type":"info:eu-repo/semantics/acceptedVersion"},{"id":"pmh:oai:aut.researchgateway.ac.nz:10292/4619","is_oa":false,"landing_page_url":"http://hdl.handle.net/10292/4619","pdf_url":null,"source":{"id":"https://openalex.org/S4406922880","display_name":"AUT Scholarly Commons","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:openrepository.aut.ac.nz:10292/4619","is_oa":false,"landing_page_url":"https://hdl.handle.net/10292/4619","pdf_url":null,"source":{"id":"https://openalex.org/S4306401809","display_name":"Tuwhera (Auckland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39854758","host_organization_name":"Auckland University of Technology","host_organization_lineage":["https://openalex.org/I39854758"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"doi:10.5167/uzh-75343","is_oa":true,"landing_page_url":"https://doi.org/10.5167/uzh-75343","pdf_url":null,"source":{"id":"https://openalex.org/S7407051291","display_name":"Universit\u00e4t Z\u00fcrich, ZORA","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:www.zora.uzh.ch:75343","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401281","display_name":"Zurich Open Repository and Archive (University of Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I202697423","host_organization_name":"University of Zurich","host_organization_lineage":["https://openalex.org/I202697423"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Mohemmed, A; Schliebs, S; Matsuda, S; Kasabov, N  (2012). SPAN: spike pattern association neuron for learning spatio-temporal sequences.  International journal of neural systems, 22(4):1250012.","raw_type":"info:eu-repo/semantics/acceptedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W59997565","https://openalex.org/W101771737","https://openalex.org/W110674964","https://openalex.org/W194167025","https://openalex.org/W345956458","https://openalex.org/W1498436455","https://openalex.org/W1531277577","https://openalex.org/W1599105596","https://openalex.org/W1636374184","https://openalex.org/W1827126144","https://openalex.org/W1971101394","https://openalex.org/W1971418692","https://openalex.org/W1975003449","https://openalex.org/W1982580897","https://openalex.org/W1992296489","https://openalex.org/W1994918405","https://openalex.org/W2001218774","https://openalex.org/W2001404333","https://openalex.org/W2001465022","https://openalex.org/W2006370340","https://openalex.org/W2017458735","https://openalex.org/W2023345584","https://openalex.org/W2028541734","https://openalex.org/W2030718155","https://openalex.org/W2033463771","https://openalex.org/W2034390994","https://openalex.org/W2042013578","https://openalex.org/W2046943246","https://openalex.org/W2047628617","https://openalex.org/W2058582133","https://openalex.org/W2059874371","https://openalex.org/W2061094363","https://openalex.org/W2075075476","https://openalex.org/W2087861759","https://openalex.org/W2089316513","https://openalex.org/W2094192378","https://openalex.org/W2096342007","https://openalex.org/W2102190784","https://openalex.org/W2102365206","https://openalex.org/W2103179919","https://openalex.org/W2104702102","https://openalex.org/W2107696819","https://openalex.org/W2111562869","https://openalex.org/W2115831804","https://openalex.org/W2116424792","https://openalex.org/W2118453802","https://openalex.org/W2122810542","https://openalex.org/W2126404188","https://openalex.org/W2130459697","https://openalex.org/W2132067420","https://openalex.org/W2133617522","https://openalex.org/W2133922304","https://openalex.org/W2133925073","https://openalex.org/W2134218891","https://openalex.org/W2135588829","https://openalex.org/W2139295975","https://openalex.org/W2139513028","https://openalex.org/W2148654448","https://openalex.org/W2152637387","https://openalex.org/W2164121816","https://openalex.org/W2165639766","https://openalex.org/W2569813014","https://openalex.org/W2579925662","https://openalex.org/W3105072874","https://openalex.org/W4238614602"],"related_works":["https://openalex.org/W2383615955","https://openalex.org/W4306175885","https://openalex.org/W4312604567","https://openalex.org/W2329992713","https://openalex.org/W2542565870","https://openalex.org/W2583316550","https://openalex.org/W2952934527","https://openalex.org/W31279903","https://openalex.org/W2754486806","https://openalex.org/W2482313744"],"abstract_inverted_index":{"Spiking":[0],"Neural":[1],"Networks":[2],"(SNN)":[3],"were":[4],"shown":[5],"to":[6,18,53,84,111,118,125,131,161],"be":[7,101],"suitable":[8],"tools":[9],"for":[10,29],"the":[11,22,39,65,72,80,89,113,119,127,139,142,146],"processing":[12,66],"of":[13,24,56,67,75,79,138,171],"spatio-temporal":[14,68],"information.":[15],"However,":[16],"due":[17],"their":[19],"inherent":[20],"complexity,":[21],"formulation":[23],"efficient":[25],"supervised":[26,62],"learning":[27,90,148,154],"algorithms":[28],"SNN":[30],"is":[31,51,83,109,150],"difficult":[32],"and":[33,130,164,169,178],"remains":[34],"an":[35],"important":[36],"problem":[37],"in":[38,60,71,123],"research":[40],"area.":[41],"This":[42],"article":[43],"presents":[44],"SPAN":[45,172],"-":[46],"a":[47,61,133],"spiking":[48],"neuron":[49],"that":[50,96],"able":[52],"learn":[54],"associations":[55],"arbitrary":[57],"spike":[58,86,121,136],"trains":[59,87,122],"fashion":[63],"allowing":[64],"information":[69],"encoded":[70],"precise":[73],"timing":[74],"spikes.":[76],"The":[77],"idea":[78],"proposed":[81,147],"algorithm":[82,149],"transform":[85],"during":[88],"phase":[91],"into":[92],"analog":[93],"signals":[94],"so":[95],"common":[97],"mathematical":[98],"operations":[99],"can":[100],"performed":[102],"on":[103],"them.":[104],"Using":[105],"this":[106],"conversion,":[107],"it":[108],"possible":[110],"apply":[112],"well-known":[114],"Widrow-Hoff":[115],"rule":[116],"directly":[117],"transformed":[120],"order":[124],"adjust":[126],"synaptic":[128],"weights":[129],"achieve":[132],"desired":[134],"input/output":[135],"behavior":[137],"neuron.":[140],"In":[141],"presented":[143],"experimental":[144],"analysis,":[145],"evaluated":[151],"regarding":[152,173],"its":[153,156,159,165],"capabilities,":[155],"memory":[157],"capacity,":[158],"robustness":[160],"noisy":[162],"stimuli":[163],"classification":[166],"performance.":[167],"Differences":[168],"similarities":[170],"two":[174],"related":[175],"algorithms,":[176],"ReSuMe":[177],"Chronotron,":[179],"are":[180],"discussed.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":22},{"year":2016,"cited_by_count":22},{"year":2015,"cited_by_count":22},{"year":2014,"cited_by_count":26},{"year":2013,"cited_by_count":13},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-30T09:15:22.047038","created_date":"2025-10-10T00:00:00"}
