{"id":"https://openalex.org/W3037228072","doi":"https://doi.org/10.1007/978-3-030-58112-1_30","title":"Biologically Plausible Learning of Text Representation with Spiking Neural Networks","display_name":"Biologically Plausible Learning of Text Representation with Spiking Neural Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3037228072","doi":"https://doi.org/10.1007/978-3-030-58112-1_30","mag":"3037228072"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58112-1_30","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-58112-1_30","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-030-58112-1_30.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"preprint","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-030-58112-1_30.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106578960","display_name":"Marcin Bia\u0142as","orcid":"https://orcid.org/0000-0001-8121-7401"},"institutions":[{"id":"https://openalex.org/I4210139285","display_name":"National Information Processing Institute","ror":"https://ror.org/040fc1e14","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210139285"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Marcin Bia\u0142as","raw_affiliation_strings":["National Information Processing Institute, al. Niepodleg\u0142o\u015bci 188 b, 00-608, Warsaw, Poland","National Information Processing Institute"],"raw_orcid":"https://orcid.org/0000-0001-8121-7401","affiliations":[{"raw_affiliation_string":"National Information Processing Institute, al. Niepodleg\u0142o\u015bci 188 b, 00-608, Warsaw, Poland","institution_ids":["https://openalex.org/I4210139285"]},{"raw_affiliation_string":"National Information Processing Institute","institution_ids":["https://openalex.org/I4210139285"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017143339","display_name":"Marcin Miro\u0144czuk","orcid":"https://orcid.org/0000-0002-4951-2264"},"institutions":[{"id":"https://openalex.org/I4210139285","display_name":"National Information Processing Institute","ror":"https://ror.org/040fc1e14","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210139285"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Marcin Micha\u0142 Miro\u0144czuk","raw_affiliation_strings":["National Information Processing Institute, al. Niepodleg\u0142o\u015bci 188 b, 00-608, Warsaw, Poland","National Information Processing Institute"],"raw_orcid":"https://orcid.org/0000-0002-4951-2264","affiliations":[{"raw_affiliation_string":"National Information Processing Institute, al. Niepodleg\u0142o\u015bci 188 b, 00-608, Warsaw, Poland","institution_ids":["https://openalex.org/I4210139285"]},{"raw_affiliation_string":"National Information Processing Institute","institution_ids":["https://openalex.org/I4210139285"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073814691","display_name":"Jacek Ma\u0144dziuk","orcid":"https://orcid.org/0000-0003-0947-028X"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jacek Ma\u0144dziuk","raw_affiliation_strings":["Faculty of Mathematics and Information Sciences, Warsaw University of Technology, Koszykowa 75, 00-662, Warsaw, Poland","Warsaw University of Technology"],"raw_orcid":"https://orcid.org/0000-0003-0947-028X","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Sciences, Warsaw University of Technology, Koszykowa 75, 00-662, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Warsaw University of Technology","institution_ids":["https://openalex.org/I108403487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5106578960"],"corresponding_institution_ids":["https://openalex.org/I4210139285"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.825,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74985657,"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":"433","last_page":"447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9919999837875366,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9919999837875366,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9837999939918518,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7515318393707275},{"id":"https://openalex.org/keywords/hebbian-theory","display_name":"Hebbian theory","score":0.7434604167938232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7232834696769714},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.6838400363922119},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6329615116119385},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6257483959197998},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5881500840187073},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5431526899337769},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5138455033302307},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45975351333618164},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4414820671081543},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4255562722682953},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.4200449585914612},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3493681848049164},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.162142813205719},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06593242287635803}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7515318393707275},{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.7434604167938232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7232834696769714},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.6838400363922119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6329615116119385},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6257483959197998},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5881500840187073},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5431526899337769},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5138455033302307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45975351333618164},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4414820671081543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4255562722682953},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.4200449585914612},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3493681848049164},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.162142813205719},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06593242287635803},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-030-58112-1_30","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-58112-1_30","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-030-58112-1_30.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"mag:3037228072","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2006.14894.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2006.14894","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2006.14894","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"doi:10.1007/978-3-030-58112-1_30","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-58112-1_30","pdf_url":"https://link.springer.com/content/pdf/10.1007%2F978-3-030-58112-1_30.pdf","source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3037228072.pdf","grobid_xml":"https://content.openalex.org/works/W3037228072.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W845171161","https://openalex.org/W1486852018","https://openalex.org/W1489333352","https://openalex.org/W1492815834","https://openalex.org/W1493526108","https://openalex.org/W1503398984","https://openalex.org/W1532325895","https://openalex.org/W1542782021","https://openalex.org/W1570411240","https://openalex.org/W2017458735","https://openalex.org/W2027896245","https://openalex.org/W2054747732","https://openalex.org/W2059148040","https://openalex.org/W2076646500","https://openalex.org/W2078835982","https://openalex.org/W2127411502","https://openalex.org/W2162827630","https://openalex.org/W2163922914","https://openalex.org/W2250539671","https://openalex.org/W2277583061","https://openalex.org/W2487770199","https://openalex.org/W2512481274","https://openalex.org/W2550568647","https://openalex.org/W2551899373","https://openalex.org/W2588217037","https://openalex.org/W2613053618","https://openalex.org/W2790404387","https://openalex.org/W2790998602","https://openalex.org/W2798878556","https://openalex.org/W2897070044","https://openalex.org/W2897502778","https://openalex.org/W2898339904","https://openalex.org/W2901937441","https://openalex.org/W2911433325","https://openalex.org/W2949685483","https://openalex.org/W2950133940","https://openalex.org/W2963887423","https://openalex.org/W2999297255","https://openalex.org/W3000409346","https://openalex.org/W4213009331","https://openalex.org/W4230765542","https://openalex.org/W4232231409","https://openalex.org/W4234354996","https://openalex.org/W4236348939","https://openalex.org/W4236619680","https://openalex.org/W4238614602","https://openalex.org/W4299689471"],"related_works":["https://openalex.org/W2810674408","https://openalex.org/W2896097393","https://openalex.org/W3015851422","https://openalex.org/W2411638330","https://openalex.org/W1570411240","https://openalex.org/W3007471917","https://openalex.org/W3155495210","https://openalex.org/W3103193585","https://openalex.org/W3083893447","https://openalex.org/W2903271863","https://openalex.org/W2978404644","https://openalex.org/W2039573396","https://openalex.org/W2189151116","https://openalex.org/W3111679713","https://openalex.org/W3157320853","https://openalex.org/W3006664330","https://openalex.org/W2331033561","https://openalex.org/W3006847524","https://openalex.org/W3132363215","https://openalex.org/W2888634444"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3,38,113],"novel":[4],"biologically":[5,48],"plausible":[6,49],"mechanism":[7],"for":[8,77],"generating":[9],"low-dimensional":[10,72,121],"spike-based":[11,73],"text":[12,74,86,93,122],"representation.":[13],"First,":[14],"we":[15],"demonstrate":[16,82],"how":[17],"to":[18,54,70,96],"transform":[19],"documents":[20],"into":[21],"series":[22],"of":[23,37,47,99,105],"spikes":[24],"(spike":[25],"trains)":[26],"which":[27,111],"are":[28],"subsequently":[29],"used":[30,69,91],"as":[31],"input":[32],"in":[33,92],"the":[34,55,65,84,102,106],"training":[35],"process":[36],"spiking":[39],"neural":[40],"network":[41,44],"(SNN).":[42],"The":[43],"is":[45,112],"composed":[46],"elements,":[50],"and":[51],"trained":[52],"according":[53],"unsupervised":[56],"Hebbian":[57],"learning":[58],"rule,":[59],"Spike-Timing-Dependent":[60],"Plasticity":[61],"(STDP).":[62],"After":[63],"training,":[64],"SNN":[66],"can":[67],"be":[68,89],"generate":[71],"representation":[75,87],"suitable":[76],"text/document":[78],"classification.":[79],"Empirical":[80],"results":[81],"that":[83,118],"generated":[85],"may":[88],"effectively":[90],"classification":[94],"leading":[95,114],"an":[97],"accuracy":[98],"$$80.19\\%$$":[100],"on":[101,120],"bydate":[103],"version":[104],"20":[107],"newsgroups":[108],"data":[109],"set,":[110],"result":[115],"amongst":[116],"approaches":[117],"rely":[119],"representations.":[123]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
