{"id":"https://openalex.org/W1983867893","doi":"https://doi.org/10.1109/ijcnn.2012.6252368","title":"Towards realtime stance classification by spiking neural network","display_name":"Towards realtime stance classification by spiking neural network","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W1983867893","doi":"https://doi.org/10.1109/ijcnn.2012.6252368","mag":"1983867893"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2012.6252368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1273115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017907567","display_name":"Vaenthan Thiruvarudchelvan","orcid":null},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Vaenthan Thiruvarudchelvan","raw_affiliation_strings":["Centre for Research in Complex Systems, Charles Sturt University, Bathurst, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Research in Complex Systems, Charles Sturt University, Bathurst, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111634442","display_name":"Terry Bossomaier","orcid":null},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Terry Bossomaier","raw_affiliation_strings":["Centre for Research in Complex Systems, Charles Sturt University, Bathurst, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Research in Complex Systems, Charles Sturt University, Bathurst, Australia","institution_ids":["https://openalex.org/I153230381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I153230381"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"8"},"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/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/computer-science","display_name":"Computer science","score":0.7967567443847656},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7396632432937622},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6986513733863831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6680175065994263},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5740795135498047},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.5078042149543762},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47958245873451233},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46889227628707886},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.460041344165802},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4558809995651245},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.42790862917900085},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.39652037620544434},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07828205823898315},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.0757080614566803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967567443847656},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7396632432937622},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6986513733863831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6680175065994263},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5740795135498047},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.5078042149543762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47958245873451233},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46889227628707886},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.460041344165802},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4558809995651245},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.42790862917900085},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.39652037620544434},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07828205823898315},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0757080614566803}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2012.6252368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2012.6252368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2012 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1273115","is_oa":true,"landing_page_url":"https://zenodo.org/record/1273115","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1273115","is_oa":true,"landing_page_url":"https://zenodo.org/record/1273115","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1508857765","https://openalex.org/W1573503290","https://openalex.org/W1673584506","https://openalex.org/W1984931175","https://openalex.org/W1985940938","https://openalex.org/W1988344165","https://openalex.org/W1989012887","https://openalex.org/W1990245259","https://openalex.org/W2014008637","https://openalex.org/W2059031151","https://openalex.org/W2064003821","https://openalex.org/W2103069304","https://openalex.org/W2110134128","https://openalex.org/W2110137080","https://openalex.org/W2115205567","https://openalex.org/W2139955815","https://openalex.org/W2142770417","https://openalex.org/W2143553955","https://openalex.org/W2152268716","https://openalex.org/W2153287508","https://openalex.org/W2156300345","https://openalex.org/W2157239334","https://openalex.org/W2157580187","https://openalex.org/W2163886718","https://openalex.org/W2164167357","https://openalex.org/W2167293499","https://openalex.org/W2296517718","https://openalex.org/W2569813014","https://openalex.org/W3121926921","https://openalex.org/W4235270414","https://openalex.org/W4238614602","https://openalex.org/W4255846501","https://openalex.org/W4300402905","https://openalex.org/W6630369414","https://openalex.org/W6677398446","https://openalex.org/W6680621358","https://openalex.org/W6681067945"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W2523437662","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2766585573","https://openalex.org/W4387490624","https://openalex.org/W4286643620"],"abstract_inverted_index":{"Spiking":[0,32],"neural":[1,66],"networks":[2,19,33,67,86,128],"are":[3,68],"a":[4,72,97,105,110,124,168],"popular":[5],"area":[6],"of":[7,61,82,159],"current":[8],"research":[9],"in":[10,75,167],"both":[11],"artificial":[12],"intelligence":[13],"and":[14,46,149,152],"neuroscience.":[15],"Unlike":[16],"second":[17],"generation":[18,44],"like":[20],"the":[21,80,114,157],"multilayer":[22],"perceptron":[23],"(MLP),":[24],"they":[25],"simulate":[26],"rather":[27],"than":[28,42,141],"emulate":[29],"neuronal":[30],"interactions.":[31],"have":[34,47],"been":[35,49],"shown":[36],"to":[37,57,95,100,117,139,155],"be":[38],"theoretically":[39],"more":[40,137,163],"powerful":[41],"earlier":[43],"networks,":[45],"repeatedly":[48],"suggested":[50],"as":[51],"ideal":[52],"for":[53,87,147],"realtime":[54,101,169],"problems":[55],"due":[56],"their":[58,62],"time-basis.":[59],"Because":[60],"sparse":[63,84],"nature,":[64],"real":[65],"also":[69],"extremely":[70],"power-efficient,":[71],"pressing":[73],"concern":[74],"computing":[76],"today.":[77],"This":[78],"raises":[79],"possibility":[81],"applying":[83],"spiking":[85,98],"power-saving.":[88],"To":[89],"investigate":[90],"these":[91],"ideas,":[92],"we":[93,108,133,153],"wish":[94],"apply":[96,140],"network":[99,112],"data":[102,121],"classification.":[103],"As":[104],"first":[106],"step,":[107],"use":[109],"feedforward":[111],"with":[113,162],"SpikeProp":[115,135],"algorithm":[116],"classify":[118],"offline":[119],"skeleton":[120],"derived":[122],"from":[123],"depth":[125],"camera.":[126],"Classifier":[127],"were":[129],"successfully":[130],"trained,":[131],"but":[132],"found":[134],"considerably":[136],"complex":[138],"backpropagation.":[142],"There":[143],"is":[144],"considerable":[145],"potential":[146],"optimization":[148],"power":[150],"efficiency,":[151],"hope":[154],"compare":[156],"performance":[158],"our":[160],"system":[161],"established":[164],"learning":[165],"techniques":[166],"setting.":[170]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}