{"id":"https://openalex.org/W2282938721","doi":"https://doi.org/10.1007/1-4020-4179-9_150","title":"USING MULTI-KOHONEN SELF-ORGANIZING MAPS FOR MODELING VISUAL PERCEPTION","display_name":"USING MULTI-KOHONEN SELF-ORGANIZING MAPS FOR MODELING VISUAL PERCEPTION","publication_year":2006,"publication_date":"2006-03-10","ids":{"openalex":"https://openalex.org/W2282938721","doi":"https://doi.org/10.1007/1-4020-4179-9_150","mag":"2282938721"},"language":"en","primary_location":{"id":"doi:10.1007/1-4020-4179-9_150","is_oa":false,"landing_page_url":"https://doi.org/10.1007/1-4020-4179-9_150","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Imaging and Vision","raw_type":"book-chapter"},"type":"book-chapter","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/A5032197876","display_name":"Michel Collobert","orcid":null},"institutions":[{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Michel Collobert","raw_affiliation_strings":["France Telecom R&D IRIS/VIA, Lannion Cedex, F-22307, France"],"affiliations":[{"raw_affiliation_string":"France Telecom R&D IRIS/VIA, Lannion Cedex, F-22307, France","institution_ids":["https://openalex.org/I19370010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032197876"],"corresponding_institution_ids":["https://openalex.org/I19370010"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21502139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1031","last_page":"1036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9837999939918518,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9635000228881836,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/self-organizing-map","display_name":"Self-organizing map","score":0.9342255592346191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6253994703292847},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5995883941650391},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5752137899398804},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5670080184936523},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.49146854877471924},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.476898193359375},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4697117209434509},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43614330887794495},{"id":"https://openalex.org/keywords/neural-activity","display_name":"Neural activity","score":0.417336642742157},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3232238292694092},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18884670734405518},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12898966670036316}],"concepts":[{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.9342255592346191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6253994703292847},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5995883941650391},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752137899398804},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5670080184936523},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.49146854877471924},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.476898193359375},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4697117209434509},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43614330887794495},{"id":"https://openalex.org/C2984127161","wikidata":"https://www.wikidata.org/wiki/Q969316","display_name":"Neural activity","level":2,"score":0.417336642742157},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3232238292694092},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18884670734405518},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12898966670036316},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/1-4020-4179-9_150","is_oa":false,"landing_page_url":"https://doi.org/10.1007/1-4020-4179-9_150","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Imaging and Vision","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.710.5888","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.710.5888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mcollo.pagesperso-orange.fr/publications/MCollo_ICCVG2004.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1679913846","https://openalex.org/W2030105977","https://openalex.org/W2133218851","https://openalex.org/W2135391746","https://openalex.org/W2141951373","https://openalex.org/W2163330486","https://openalex.org/W2332578720","https://openalex.org/W4213332169"],"related_works":["https://openalex.org/W2034551444","https://openalex.org/W2023416609","https://openalex.org/W1844640764","https://openalex.org/W2051216975","https://openalex.org/W2982550593","https://openalex.org/W2090505479","https://openalex.org/W2144077772","https://openalex.org/W2978573861","https://openalex.org/W926742521","https://openalex.org/W2013265235"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,42,55,60],"new":[4],"organizing":[5,15],"principle":[6],"for":[7],"perceptual":[8],"systems":[9],"based":[10],"on":[11,31],"multiple":[12],"Kohonen":[13],"self":[14],"maps.":[16],"These":[17],"maps":[18],"are":[19],"arranged":[20],"in":[21],"order":[22],"to":[23,36],"model":[24],"the":[25,51,65],"global":[26],"brain":[27],"activity":[28,53,63],"as":[29],"seen":[30],"tomography":[32],"pictures.":[33],"In":[34],"contrast":[35],"most":[37],"of":[38,54,62,64],"neural":[39],"network":[40],"models,":[41],"perceived":[43],"object":[44],"or":[45],"knowledge":[46],"is":[47],"not":[48],"represented":[49],"by":[50,59],"final":[52],"single":[56],"neuron":[57],"but":[58],"configuration":[61],"whole":[66],"neurons'":[67],"set.":[68]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}