{"id":"https://openalex.org/W2138922516","doi":"https://doi.org/10.1109/ijcnn.2003.1224022","title":"Statistical approach to unsupervised recognition of spatio-temporal patterns by spiking neurons","display_name":"Statistical approach to unsupervised recognition of spatio-temporal patterns by spiking neurons","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W2138922516","doi":"https://doi.org/10.1109/ijcnn.2003.1224022","mag":"2138922516"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2003.1224022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031421685","display_name":"Mikhail Kiselev","orcid":"https://orcid.org/0000-0001-7403-6418"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M.V. Kiselev","raw_affiliation_strings":["Megaputer Intelligence Limited, Moscow, Russia","Megaputer Intelligence Ltd, Moscow, Russia"],"affiliations":[{"raw_affiliation_string":"Megaputer Intelligence Limited, Moscow, Russia","institution_ids":[]},{"raw_affiliation_string":"Megaputer Intelligence Ltd, Moscow, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5031421685"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4497,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75955978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"2843","last_page":"2847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9993000030517578,"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/T10320","display_name":"Neural Networks and Applications","score":0.9993000030517578,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9958999752998352,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9945999979972839,"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/hebbian-theory","display_name":"Hebbian theory","score":0.9122758507728577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7152222394943237},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.7093544602394104},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6643204689025879},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6339761018753052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5649343132972717},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5419514775276184},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3614477515220642},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3483017683029175}],"concepts":[{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.9122758507728577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152222394943237},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.7093544602394104},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6643204689025879},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6339761018753052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5649343132972717},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5419514775276184},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3614477515220642},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3483017683029175},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2003.1224022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2003.1224022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Joint Conference on Neural Networks, 2003.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W345956458","https://openalex.org/W1542782021","https://openalex.org/W1599105596","https://openalex.org/W2058005833","https://openalex.org/W2278931273","https://openalex.org/W2340339634","https://openalex.org/W4238614602","https://openalex.org/W6636046633"],"related_works":["https://openalex.org/W2912471387","https://openalex.org/W2113117949","https://openalex.org/W4321853849","https://openalex.org/W2590565095","https://openalex.org/W2896927215","https://openalex.org/W3180828476","https://openalex.org/W2088600489","https://openalex.org/W4387853727","https://openalex.org/W1950019275","https://openalex.org/W4285340753"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,5,15,24,29,59],"unsupervised":[3,52],"recognition":[4],"spatio-temporal":[6],"structure":[7],"in":[8,63],"the":[9,21],"sensory":[10],"signal":[11],"by":[12],"a":[13,37],"network":[14],"spiking":[16,30],"neurons":[17,31],"is":[18,34],"considered":[19],"from":[20],"statistical":[22],"point":[23],"view.":[25],"A":[26],"novel":[27],"model":[28,65],"called":[32],"SSN/st":[33],"proposed":[35],"as":[36],"solution":[38],"for":[39],"this":[40,64],"problem.":[41],"Computational":[42],"experiments":[43],"with":[44,68],"artificially":[45],"generated":[46],"data":[47],"demonstrate":[48],"that":[49],"statistically":[50],"sound":[51],"learning":[53],"mechanism":[54],"and":[55,71],"generalized":[56],"Hebbian":[57],"laws":[58],"synaptic":[60],"plasticity":[61],"implemented":[62],"provide":[66],"it":[67],"high":[69],"sensitivity":[70],"robustness.":[72]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
