{"id":"https://openalex.org/W1965273786","doi":"https://doi.org/10.1109/ijcnn.2014.6889673","title":"Spike-timing dependent morphological learning for a neuron with nonlinear active dendrites","display_name":"Spike-timing dependent morphological learning for a neuron with nonlinear active dendrites","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1965273786","doi":"https://doi.org/10.1109/ijcnn.2014.6889673","mag":"1965273786"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2014.6889673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","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/A5048555499","display_name":"Phyo Phyo San","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Phyo Phyo San","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080149173","display_name":"Shaista Hussain","orcid":"https://orcid.org/0000-0003-2004-2681"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shaista Hussain","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002380437","display_name":"Arindam Basu","orcid":"https://orcid.org/0000-0003-1035-8770"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Arindam Basu","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798,#TAB#","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048555499"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.4653,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8369318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"47","issue":null,"first_page":"3192","last_page":"3196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9972000122070312,"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/spike","display_name":"Spike (software development)","score":0.746833086013794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6593976616859436},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.6252186894416809},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5853537321090698},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.5650789141654968},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5109254717826843},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4777866303920746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4713819921016693},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.4337722659111023},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4317645728588104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3660046458244324},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.33559197187423706},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2740127742290497},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19147613644599915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18265676498413086},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07405915856361389},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07240107655525208}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.746833086013794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6593976616859436},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.6252186894416809},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5853537321090698},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.5650789141654968},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5109254717826843},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4777866303920746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4713819921016693},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.4337722659111023},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4317645728588104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3660046458244324},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.33559197187423706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2740127742290497},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19147613644599915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18265676498413086},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07405915856361389},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07240107655525208},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2014.6889673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2014.6889673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1973131789","https://openalex.org/W1995839907","https://openalex.org/W2001133891","https://openalex.org/W2018636471","https://openalex.org/W2093674225","https://openalex.org/W2107662531","https://openalex.org/W2110016065","https://openalex.org/W2115831804","https://openalex.org/W2163288878","https://openalex.org/W2168114164"],"related_works":["https://openalex.org/W2130536249","https://openalex.org/W3178259930","https://openalex.org/W1769982787","https://openalex.org/W3184949856","https://openalex.org/W3035839890","https://openalex.org/W2076468557","https://openalex.org/W2031806409","https://openalex.org/W4281997648","https://openalex.org/W4387066885","https://openalex.org/W2371090464"],"abstract_inverted_index":{"It":[0],"has":[1,18,32],"been":[2,34],"shown":[3],"earlier":[4],"that":[5,58,120],"simple":[6],"abstraction":[7],"of":[8,42,65,82,97,143,162],"a":[9,19,24,49,133,141],"neuron":[10,25,53,122],"with":[11,26,55,123,125,136],"nonlinear":[12,50],"active":[13],"dendrites":[14],"and":[15,80,87],"binary":[16,40,56],"synapses":[17,57,73,127,138],"higher":[20],"computational":[21],"power":[22],"than":[23],"linearly":[27],"summing":[28],"dendrites.":[29],"However,":[30],"it":[31],"only":[33],"used":[35],"to":[36,61],"classify":[37],"high":[38],"dimensional":[39],"patterns":[41,68],"mean":[43],"spike":[44,66,145],"rates.":[45],"In":[46],"this":[47,115],"paper,":[48],"dendritic":[51,89],"(NLD)":[52],"equipped":[54],"is":[59,69,152],"able":[60],"learn":[62],"temporal":[63,110],"features":[64],"input":[67],"presented.":[70],"Since":[71],"the":[72,85,88,93,98,106,149,160],"are":[74],"binary,":[75],"learning":[76,102,111],"happens":[77],"through":[78],"formation":[79],"elimination":[81],"connections":[83],"between":[84],"inputs":[86],"branches":[90],"thus":[91],"modifying":[92],"structure":[94],"or":[95],"\"morphology\"":[96],"cell.":[99],"A":[100],"morphological":[101],"algorithm":[103],"inspired":[104],"by":[105],"`Tempotron'-a":[107],"recently":[108],"proposed":[109,150],"algorithm-is":[112],"presented":[113],"in":[114,139,159],"work.":[116],"Experimental":[117],"results":[118],"indicate":[119],"our":[121],"NLD":[124],"1-bit":[126],"can":[128],"obtain":[129],"similar":[130],"accuracy":[131],"as":[132],"traditional":[134],"Tempotron":[135],"4-bit":[137],"classifying":[140],"population":[142],"single":[144],"latency":[146],"patterns.":[147],"Hence,":[148],"method":[151],"better":[153],"suited":[154],"for":[155],"robust":[156],"hardware":[157],"implementation":[158],"presence":[161],"statistical":[163],"variations.":[164]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}