{"id":"https://openalex.org/W3091191559","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207474","title":"Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity","display_name":"Classifying Neuromorphic Datasets with Tempotron and Spike Timing Dependent Plasticity","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3091191559","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207474","mag":"3091191559"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5070294243","display_name":"Laxmi Iyer","orcid":"https://orcid.org/0000-0001-9218-4481"},"institutions":[{"id":"https://openalex.org/I3005327000","display_name":"Institute for Infocomm Research","ror":"https://ror.org/053rfa017","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I3005327000","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Laxmi R. Iyer","raw_affiliation_strings":["Machine Intellection, Institute of Infocomms Research, Singapore"],"affiliations":[{"raw_affiliation_string":"Machine Intellection, Institute of Infocomms Research, Singapore","institution_ids":["https://openalex.org/I3005327000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066851412","display_name":"Yansong Chua","orcid":"https://orcid.org/0000-0002-3133-843X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansong Chua","raw_affiliation_strings":["Huawei Technologies, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070294243"],"corresponding_institution_ids":["https://openalex.org/I3005327000"],"apc_list":null,"apc_paid":null,"fwci":0.9247,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.74836291,"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":"1","last_page":"8"},"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":0.9995999932289124,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9993000030517578,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8152214288711548},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.801041841506958},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.752442479133606},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7354233264923096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6498318910598755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5590667128562927},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.537781298160553},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48772868514060974},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4849815368652344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4538414180278778},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.10137328505516052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8152214288711548},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.801041841506958},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.752442479133606},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7354233264923096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6498318910598755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5590667128562927},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.537781298160553},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48772868514060974},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4849815368652344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4538414180278778},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.10137328505516052},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207474","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4099999964237213,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1540240802","https://openalex.org/W1570411240","https://openalex.org/W1975003449","https://openalex.org/W2001283856","https://openalex.org/W2005235722","https://openalex.org/W2009950336","https://openalex.org/W2105848238","https://openalex.org/W2107032718","https://openalex.org/W2107662531","https://openalex.org/W2115831804","https://openalex.org/W2129673518","https://openalex.org/W2132870234","https://openalex.org/W2137408853","https://openalex.org/W2207801947","https://openalex.org/W2260550436","https://openalex.org/W2477347005","https://openalex.org/W2621826044","https://openalex.org/W2733297609","https://openalex.org/W2736299736","https://openalex.org/W2745933219","https://openalex.org/W2779025322","https://openalex.org/W2801844931","https://openalex.org/W2805087868","https://openalex.org/W2808550672","https://openalex.org/W2809732489","https://openalex.org/W2884987480","https://openalex.org/W2896104439","https://openalex.org/W2897317127","https://openalex.org/W2898323475","https://openalex.org/W2901297858","https://openalex.org/W2946092987","https://openalex.org/W2962684665","https://openalex.org/W2962804204","https://openalex.org/W2963057320","https://openalex.org/W2963510238","https://openalex.org/W3104615707","https://openalex.org/W4233125481","https://openalex.org/W6632449093","https://openalex.org/W6652555395","https://openalex.org/W6680224852","https://openalex.org/W6692447665","https://openalex.org/W6738900213","https://openalex.org/W6751508652","https://openalex.org/W6752051825","https://openalex.org/W6753149728","https://openalex.org/W6756715896"],"related_works":["https://openalex.org/W2542565870","https://openalex.org/W3089892344","https://openalex.org/W2012951121","https://openalex.org/W3081559266","https://openalex.org/W3160415743","https://openalex.org/W4386227293","https://openalex.org/W4313442939","https://openalex.org/W4372267706","https://openalex.org/W2885510266","https://openalex.org/W3110622310"],"abstract_inverted_index":{"Although":[0],"the":[1,21,38],"spike":[2,102],"rate":[3],"of":[4,14,24,66,84],"a":[5,12,64,115],"neuron":[6],"codes":[7],"useful":[8],"information,":[9],"there":[10],"is":[11,18],"lot":[13,65],"evidence":[15],"that":[16,45,57,119],"information":[17],"contained":[19],"in":[20,37,68,107],"precise":[22],"timing":[23,103],"spikes.":[25],"Static":[26],"images":[27],"have":[28,43,46,73,79,131],"long":[29],"been":[30,63,74,80,90],"used":[31,132],"as":[32,101],"benchmarks":[33,42],"for":[34],"ANNs.":[35],"However,":[36,86],"neuromorphic":[39],"community":[40],"novel":[41],"developed":[44],"both":[47],"spatial":[48],"and":[49,96,122],"temporal":[50,59,128],"information.":[51],"We":[52,130],"require":[53],"capable":[54],"SNN":[55],"algorithms":[56],"classify":[58,127],"datasets.":[60,129],"There":[61],"has":[62,89],"research":[67,88],"training":[69,108],"SNNs.":[70,77,109],"Trained":[71],"ANNs":[72],"converted":[75],"to":[76,126,134],"SNNs":[78],"trained":[81],"using":[82],"variants":[83],"backpropagation.":[85],"less":[87],"done":[91],"on":[92],"local":[93],"learning":[94,124],"rules,":[95],"biologically":[97,116],"plausible":[98,117],"methods":[99],"such":[100],"dependent":[104],"plasticity":[105],"(STDP)":[106],"In":[110],"this":[111],"paper,":[112],"we":[113],"present":[114],"algorithm":[118],"utilizes":[120],"STDP":[121],"tempotron":[123],"rule":[125],"DvsGesture":[133],"test":[135],"our":[136],"algorithm.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
