{"id":"https://openalex.org/W2124032918","doi":"https://doi.org/10.1109/ijcnn.2004.1380858","title":"Recurrently connected silicon neurons with active dendrites for one-shot learning","display_name":"Recurrently connected silicon neurons with active dendrites for one-shot learning","publication_year":2005,"publication_date":"2005-01-31","ids":{"openalex":"https://openalex.org/W2124032918","doi":"https://doi.org/10.1109/ijcnn.2004.1380858","mag":"2124032918"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1380858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.upenn.edu/bitstreams/8a064ca0-a037-42af-b9b7-20b8918b4af7/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087078947","display_name":"John V. Arthur","orcid":null},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"J.V. Arthur","raw_affiliation_strings":["Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA","[Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"[Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA, USA]","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077089453","display_name":"Kwabena Boahen","orcid":"https://orcid.org/0000-0003-2301-3309"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K. Boahen","raw_affiliation_strings":["Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA","[Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"[Dept. of Bioeng., Pennsylvania Univ., Philadelphia, PA, USA]","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087078947"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":7.9807,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.97666136,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"3","issue":null,"first_page":"1699","last_page":"1704"},"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":0.9994999766349792,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2804","display_name":"Cellular and Molecular Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/excitatory-postsynaptic-potential","display_name":"Excitatory postsynaptic potential","score":0.7237119674682617},{"id":"https://openalex.org/keywords/inhibitory-postsynaptic-potential","display_name":"Inhibitory postsynaptic potential","score":0.6755748391151428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.621308445930481},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.6170487403869629},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.5958676338195801},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5631285905838013},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5342710614204407},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.4521186947822571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37407946586608887},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.320831298828125},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21764379739761353},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.13103589415550232}],"concepts":[{"id":"https://openalex.org/C112592302","wikidata":"https://www.wikidata.org/wiki/Q1207387","display_name":"Excitatory postsynaptic potential","level":3,"score":0.7237119674682617},{"id":"https://openalex.org/C17077164","wikidata":"https://www.wikidata.org/wiki/Q1185869","display_name":"Inhibitory postsynaptic potential","level":2,"score":0.6755748391151428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.621308445930481},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.6170487403869629},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.5958676338195801},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5631285905838013},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5342710614204407},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.4521186947822571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37407946586608887},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.320831298828125},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21764379739761353},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.13103589415550232},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn.2004.1380858","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1380858","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.upenn.edu:be_papers-1076","is_oa":true,"landing_page_url":"https://repository.upenn.edu/be_papers/64","pdf_url":"https://repository.upenn.edu/bitstreams/8a064ca0-a037-42af-b9b7-20b8918b4af7/download","source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Departmental Papers (BE)","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.192.8619","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.192.8619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stanford.edu/group/brainsinsilicon/pdf/04_conf_IJCNN_Learning.pdf","raw_type":"text"},{"id":"pmh:oai:repository.upenn.edu:20.500.14332/2943","is_oa":false,"landing_page_url":"https://repository.upenn.edu/handle/20.500.14332/2943","pdf_url":null,"source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"published","raw_type":"Presentation"}],"best_oa_location":{"id":"pmh:oai:repository.upenn.edu:be_papers-1076","is_oa":true,"landing_page_url":"https://repository.upenn.edu/be_papers/64","pdf_url":"https://repository.upenn.edu/bitstreams/8a064ca0-a037-42af-b9b7-20b8918b4af7/download","source":{"id":"https://openalex.org/S4306402083","display_name":"ScholarlyCommons (University of Pennsylvania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79576946","host_organization_name":"University of Pennsylvania","host_organization_lineage":["https://openalex.org/I79576946"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Departmental Papers (BE)","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2124032918.pdf"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1973116035","https://openalex.org/W2065159146","https://openalex.org/W2097083895","https://openalex.org/W2106307904","https://openalex.org/W2110016065","https://openalex.org/W2110724392","https://openalex.org/W2119960071","https://openalex.org/W2128084896","https://openalex.org/W2139016795","https://openalex.org/W2146106467","https://openalex.org/W2163288878","https://openalex.org/W2163630896","https://openalex.org/W2171878135","https://openalex.org/W6676400344","https://openalex.org/W6680419907","https://openalex.org/W6685070088"],"related_works":["https://openalex.org/W2751847892","https://openalex.org/W2075385578","https://openalex.org/W3148410686","https://openalex.org/W3006582284","https://openalex.org/W4212915683","https://openalex.org/W1998768495","https://openalex.org/W2287764147","https://openalex.org/W2044962914","https://openalex.org/W2254573027","https://openalex.org/W2095344269"],"abstract_inverted_index":{"We":[0],"describe":[1],"a":[2,45,54],"neuromorphic":[3],"chip":[4],"designed":[5,22],"to":[6,15,23,64,89,96],"model":[7,77],"active":[8,87],"dendrites,":[9],"recurrent":[10,66,84],"connectivity,":[11],"and":[12,35,53,70,86],"plastic":[13],"synapses":[14],"support":[16],"one-shot":[17],"learning.":[18],"Specifically,":[19],"it":[20,82],"is":[21,78],"capture":[24],"neural":[25],"firing":[26],"patterns":[27,32],"(short-term":[28],"memory),":[29,34],"memorize":[30],"individual":[31],"(long-term":[33],"retrieve":[36],"them":[37],"when":[38],"primed":[39],"(associative":[40],"recall).":[41],"It":[42],"consists":[43],"of":[44,49,58],"recurrently":[46,55],"connected":[47,56],"population":[48,57],"excitatory":[50,69],"pyramidal":[51],"cells":[52],"inhibitory":[59,71],"basket":[60],"cells.":[61],"In":[62],"addition":[63],"their":[65],"connections,":[67],"the":[68],"populations":[72],"are":[73],"reciprocally":[74],"connected.":[75],"The":[76],"novel":[79],"in":[80],"that":[81],"utilizes":[83],"connections":[85],"dendrites":[88],"maintain":[90],"short-term":[91],"memories":[92],"as":[93,95],"well":[94],"store":[97],"long-term":[98],"memories.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}