{"id":"https://openalex.org/W2962737463","doi":"https://doi.org/10.1109/icassp.2018.8462502","title":"A Supervised Stdp-Based Training Algorithm for Living Neural Networks","display_name":"A Supervised Stdp-Based Training Algorithm for Living Neural Networks","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2962737463","doi":"https://doi.org/10.1109/icassp.2018.8462502","mag":"2962737463"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8462502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100617495","display_name":"Yuan Zeng","orcid":"https://orcid.org/0000-0002-5550-9379"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuan Zeng","raw_affiliation_strings":["Electrical and Computer Engineering Department, Lehigh University"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Lehigh University","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028632693","display_name":"Kevin Devincentis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kevin Devincentis","raw_affiliation_strings":["Electrical and Computer Engineering Department, Camegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Camegie Mellon University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101511571","display_name":"Yao Xiao","orcid":"https://orcid.org/0000-0002-0194-8253"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Xiao","raw_affiliation_strings":["University of Science and Technology of China, School of Gifted Young"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, School of Gifted Young","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086479299","display_name":"Zubayer Ibne Ferdous","orcid":"https://orcid.org/0000-0003-1464-677X"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zubayer Ibne Ferdous","raw_affiliation_strings":["Electrical and Computer Engineering Department, Lehigh University"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Lehigh University","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028757963","display_name":"Xiaochen Guo","orcid":"https://orcid.org/0000-0001-7704-0412"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaochen Guo","raw_affiliation_strings":["Electrical and Computer Engineering Department, Lehigh University"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Lehigh University","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101582861","display_name":"Zhiyuan Yan","orcid":"https://orcid.org/0000-0003-2286-2771"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyuan Yan","raw_affiliation_strings":["Electrical and Computer Engineering Department, Lehigh University"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, Lehigh University","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075597753","display_name":"Yevgeny Berdichevsky","orcid":"https://orcid.org/0000-0001-7539-601X"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yevgeny Berdichevsky","raw_affiliation_strings":["Bioengineering Department, Lehigh University"],"affiliations":[{"raw_affiliation_string":"Bioengineering Department, Lehigh University","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100617495"],"corresponding_institution_ids":["https://openalex.org/I186143895"],"apc_list":null,"apc_paid":null,"fwci":1.1588,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80543033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1154","last_page":"1158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"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":0.9994000196456909,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9914000034332275,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9883000254631042,"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/mnist-database","display_name":"MNIST database","score":0.9058334231376648},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8020941019058228},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7293645143508911},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6821846961975098},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6770762801170349},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5425541996955872},{"id":"https://openalex.org/keywords/types-of-artificial-neural-networks","display_name":"Types of artificial neural networks","score":0.4791231155395508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4242205023765564},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41507619619369507},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.41504818201065063},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.41116422414779663},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3364788293838501}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.9058334231376648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020941019058228},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7293645143508911},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6821846961975098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6770762801170349},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5425541996955872},{"id":"https://openalex.org/C177973122","wikidata":"https://www.wikidata.org/wiki/Q7860946","display_name":"Types of artificial neural networks","level":4,"score":0.4791231155395508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4242205023765564},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41507619619369507},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.41504818201065063},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.41116422414779663},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3364788293838501},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8462502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8462502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W140103524","https://openalex.org/W1486852018","https://openalex.org/W1570411240","https://openalex.org/W1926086117","https://openalex.org/W1934410531","https://openalex.org/W1985940938","https://openalex.org/W2040237110","https://openalex.org/W2047272044","https://openalex.org/W2053163863","https://openalex.org/W2070522393","https://openalex.org/W2091499638","https://openalex.org/W2092891733","https://openalex.org/W2098241945","https://openalex.org/W2107433900","https://openalex.org/W2112408199","https://openalex.org/W2112796928","https://openalex.org/W2114780505","https://openalex.org/W2131724064","https://openalex.org/W2136245212","https://openalex.org/W2158766867","https://openalex.org/W2160361560","https://openalex.org/W2162827630","https://openalex.org/W2257979135","https://openalex.org/W2259536487","https://openalex.org/W2518386462","https://openalex.org/W2556599267","https://openalex.org/W2766447205","https://openalex.org/W6679593666"],"related_works":["https://openalex.org/W2787356053","https://openalex.org/W1584270863","https://openalex.org/W2149978162","https://openalex.org/W2083677758","https://openalex.org/W2950022897","https://openalex.org/W1973323485","https://openalex.org/W2373874059","https://openalex.org/W2109916967","https://openalex.org/W3109717595","https://openalex.org/W1595652908"],"abstract_inverted_index":{"Neural":[0,19],"networks":[1,50],"have":[2],"shown":[3],"great":[4],"potential":[5],"in":[6,51,70],"many":[7],"applications":[8],"like":[9],"speech":[10],"recognition,":[11],"drug":[12],"discovery,":[13],"image":[14],"classification,":[15],"and":[16],"object":[17],"detection.":[18],"network":[20],"models":[21],"are":[22,30],"inspired":[23],"by":[24],"biological":[25],"neural":[26,49],"networks,":[27],"but":[28],"they":[29],"optimized":[31],"to":[32],"perform":[33],"machine":[34,59],"learning":[35,60,66],"tasks":[36],"on":[37,83],"digital":[38],"computers.":[39],"The":[40],"proposed":[41,69],"work":[42],"explores":[43],"the":[44,54,84],"possibility":[45],"of":[46],"using":[47],"living":[48],"vitro":[52],"as":[53],"basic":[55],"computational":[56],"elements":[57],"for":[58,87],"applications.":[61],"A":[62,78],"new":[63],"supervised":[64],"STDP-based":[65],"algorithm":[67],"is":[68,81],"this":[71],"work,":[72],"which":[73],"considers":[74],"neuron":[75],"engineering":[76],"constraints.":[77],"74.7%":[79],"accuracy":[80],"achieved":[82],"MNIST":[85],"benchmark":[86],"handwritten":[88],"digit":[89],"recognition.":[90]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}