{"id":"https://openalex.org/W4390481954","doi":"https://doi.org/10.1109/ssci52147.2023.10372058","title":"Search of Highly Selective Cells in Convolutional Layers with Hebbian Learning","display_name":"Search of Highly Selective Cells in Convolutional Layers with Hebbian Learning","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390481954","doi":"https://doi.org/10.1109/ssci52147.2023.10372058"},"language":"en","primary_location":{"id":"doi:10.1109/ssci52147.2023.10372058","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci52147.2023.10372058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5082126526","display_name":"Fernando Aguilar-Canto","orcid":"https://orcid.org/0000-0002-7352-3182"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fernando Aguilar-Canto","raw_affiliation_strings":["Instituto Polit&#x00E9;cnico Nacional,Computational Cognitive Sciences Laboratory-CIC,Mexico City,Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Polit&#x00E9;cnico Nacional,Computational Cognitive Sciences Laboratory-CIC,Mexico City,Mexico","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055414768","display_name":"Hiram Calvo","orcid":"https://orcid.org/0000-0003-2836-2102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiram Calvo","raw_affiliation_strings":["Instituto Polit&#x00E9;cnico Nacional,Computational Cognitive Sciences Laboratory-CIC,Mexico City,Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto Polit&#x00E9;cnico Nacional,Computational Cognitive Sciences Laboratory-CIC,Mexico City,Mexico","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67343315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"30","issue":null,"first_page":"1455","last_page":"1460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9983000159263611,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9980999827384949,"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/interpretability","display_name":"Interpretability","score":0.8911731243133545},{"id":"https://openalex.org/keywords/hebbian-theory","display_name":"Hebbian theory","score":0.8174556493759155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7599772214889526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7518706321716309},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6534770131111145},{"id":"https://openalex.org/keywords/closed-captioning","display_name":"Closed captioning","score":0.6157503128051758},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5468343496322632},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.533474862575531},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5082780718803406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5071516036987305},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4360523223876953},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40702977776527405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.33831000328063965},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19446206092834473}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8911731243133545},{"id":"https://openalex.org/C111437709","wikidata":"https://www.wikidata.org/wiki/Q1277874","display_name":"Hebbian theory","level":3,"score":0.8174556493759155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7599772214889526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7518706321716309},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6534770131111145},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.6157503128051758},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5468343496322632},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.533474862575531},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5082780718803406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5071516036987305},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4360523223876953},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40702977776527405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33831000328063965},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19446206092834473},{"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/ssci52147.2023.10372058","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ssci52147.2023.10372058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6911137332","display_name":null,"funder_award_id":"SIP 20230140","funder_id":"https://openalex.org/F4320321694","funder_display_name":"Instituto Polit\u00e9cnico Nacional"}],"funders":[{"id":"https://openalex.org/F4320321694","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1526492552","https://openalex.org/W1677182931","https://openalex.org/W1825675169","https://openalex.org/W1899185266","https://openalex.org/W1992223066","https://openalex.org/W2004737002","https://openalex.org/W2061173061","https://openalex.org/W2101295242","https://openalex.org/W2103212315","https://openalex.org/W2116360511","https://openalex.org/W2117731089","https://openalex.org/W2139748113","https://openalex.org/W2194775991","https://openalex.org/W2528491735","https://openalex.org/W2761490953","https://openalex.org/W2765813195","https://openalex.org/W2785648721","https://openalex.org/W2788403449","https://openalex.org/W2915130814","https://openalex.org/W2953073956","https://openalex.org/W2962851944","https://openalex.org/W2962858109","https://openalex.org/W2963610729","https://openalex.org/W2970447476","https://openalex.org/W2997297949","https://openalex.org/W3046377295","https://openalex.org/W3091880370","https://openalex.org/W3105966348","https://openalex.org/W3107503524","https://openalex.org/W3194668998","https://openalex.org/W3199008037","https://openalex.org/W3211317523","https://openalex.org/W3216029730","https://openalex.org/W4231610351","https://openalex.org/W4287643567","https://openalex.org/W4293507378","https://openalex.org/W4300485620","https://openalex.org/W4380136051","https://openalex.org/W4385245566","https://openalex.org/W6602002561","https://openalex.org/W6638389677","https://openalex.org/W6639927594","https://openalex.org/W6685133223","https://openalex.org/W6691820373","https://openalex.org/W6735632633","https://openalex.org/W6739901393","https://openalex.org/W6748097816","https://openalex.org/W6748744355","https://openalex.org/W6750391026","https://openalex.org/W6754669440","https://openalex.org/W6767229288","https://openalex.org/W6768086466","https://openalex.org/W6852868669"],"related_works":["https://openalex.org/W4210416330","https://openalex.org/W2775506363","https://openalex.org/W3088136942","https://openalex.org/W2905433371","https://openalex.org/W4290852288","https://openalex.org/W2949362007","https://openalex.org/W4388893791","https://openalex.org/W4283207562","https://openalex.org/W2963177403","https://openalex.org/W2330246314"],"abstract_inverted_index":{"Deep":[0],"Convolutional":[1],"Neural":[2],"Networks":[3],"(ConvNets)":[4],"have":[5],"demonstrated":[6],"successful":[7],"implementations":[8],"in":[9,47,138],"various":[10],"vision":[11],"tasks,":[12],"including":[13],"image":[14,18],"classification,":[15],"segmentation,":[16],"and":[17,84,130],"captioning.":[19],"Despite":[20],"their":[21],"achievements,":[22],"concerns":[23],"persist":[24],"regarding":[25],"the":[26,42,58,70,82,88,96,102,116,128,139],"explainability":[27],"of":[28,44,60,115,132,141],"these":[29,122],"models,":[30],"often":[31],"referred":[32],"to":[33,68,101,111,126],"as":[34],"black-box":[35],"classifiers.":[36],"While":[37],"some":[38],"interpretability":[39,131],"papers":[40],"suggest":[41],"existence":[43],"object":[45,106],"detectors":[46],"ConvNets,":[48],"others":[49],"refute":[50],"this":[51,54],"notion.":[52],"In":[53],"paper,":[55],"we":[56,93,124],"address":[57],"challenge":[59],"identifying":[61],"such":[62],"neurons":[63,73,100],"by":[64],"utilizing":[65],"Hebbian":[66],"learning":[67],"discover":[69],"most":[71,97],"associated":[72,98],"for":[74,135],"a":[75],"given":[76],"stimulus.":[77],"Our":[78],"method":[79],"focuses":[80],"on":[81,121],"VGG19":[83],"ResNet50":[85],"networks":[86],"with":[87],"Dogs-vs-Cats":[89],"dataset.":[90],"During":[91],"experimentation,":[92],"found":[94],"that":[95],"hidden":[99],"labels":[103],"are":[104],"not":[105],"detectors.":[107],"Instead,":[108],"they":[109],"seem":[110],"encode":[112],"relevant":[113],"aspects":[114],"category.":[117],"By":[118],"shedding":[119],"light":[120],"findings,":[123],"aim":[125],"improve":[127],"understanding":[129],"deep":[133],"ConvNets":[134],"future":[136],"advancements":[137],"field":[140],"computer":[142],"vision.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
