{"id":"https://openalex.org/W2576162568","doi":"https://doi.org/10.1109/biocas.2016.7833757","title":"Membrane-dependent neuromorphic learning rule for unsupervised spike pattern detection","display_name":"Membrane-dependent neuromorphic learning rule for unsupervised spike pattern detection","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2576162568","doi":"https://doi.org/10.1109/biocas.2016.7833757","mag":"2576162568"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2016.7833757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2016.7833757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1701.01495","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010462308","display_name":"Sadique Sheik","orcid":"https://orcid.org/0000-0003-0302-8511"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sadique Sheik","raw_affiliation_strings":["UC San Diego, BioCircuits Institute, La Jolla, CA, USA","BioCircuits Institute UC San Diego, La Jolla, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC San Diego, BioCircuits Institute, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"BioCircuits Institute UC San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619719","display_name":"Somnath Paul","orcid":"https://orcid.org/0000-0001-9908-669X"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Somnath Paul","raw_affiliation_strings":["Circuit Research Lab, Intel Corporation, Hillsboro, OR, USA","Circuit Research Labs, Intel Corporation, Hillsboro, OR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuit Research Lab, Intel Corporation, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Circuit Research Labs, Intel Corporation, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085682261","display_name":"Charles Augustine","orcid":"https://orcid.org/0000-0001-8892-6286"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Augustine","raw_affiliation_strings":["Circuit Research Lab, Intel Corporation, Hillsboro, OR, USA","Circuit Research Labs, Intel Corporation, Hillsboro, OR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circuit Research Lab, Intel Corporation, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Circuit Research Labs, Intel Corporation, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059013717","display_name":"Gert Cauwenberghs","orcid":"https://orcid.org/0000-0002-3166-5529"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]},{"id":"https://openalex.org/I4210133661","display_name":"La Jolla Bioengineering Institute","ror":"https://ror.org/03sgbh608","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210133661"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gert Cauwenberghs","raw_affiliation_strings":["Department of Bioengineering, UC San Diego, La Jolla, CA, USA","BioCircuits Institute UC San Diego, La Jolla, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Bioengineering, UC San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959","https://openalex.org/I4210133661"]},{"raw_affiliation_string":"BioCircuits Institute UC San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22848848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"167"},"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":0.9997000098228455,"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":0.9990000128746033,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9023311138153076},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.8625378608703613},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7780094146728516},{"id":"https://openalex.org/keywords/learning-rule","display_name":"Learning rule","score":0.7377665042877197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7346221804618835},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.6593693494796753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6465410590171814},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5715618133544922},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5456559658050537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5096406936645508},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.5031391978263855},{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.48346930742263794},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44562897086143494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.360647588968277},{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.2941294312477112},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.12191876769065857}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9023311138153076},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.8625378608703613},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7780094146728516},{"id":"https://openalex.org/C2779127903","wikidata":"https://www.wikidata.org/wiki/Q6510194","display_name":"Learning rule","level":3,"score":0.7377665042877197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346221804618835},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.6593693494796753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6465410590171814},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5715618133544922},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5456559658050537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5096406936645508},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.5031391978263855},{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.48346930742263794},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44562897086143494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.360647588968277},{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.2941294312477112},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.12191876769065857},{"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},{"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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/biocas.2016.7833757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2016.7833757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1701.01495","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1701.01495","pdf_url":"https://arxiv.org/pdf/1701.01495","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1701.01495","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1701.01495","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:2576162568","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1701.01495","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1701.01495","pdf_url":"https://arxiv.org/pdf/1701.01495","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2576162568.pdf","grobid_xml":"https://content.openalex.org/works/W2576162568.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1522397136","https://openalex.org/W1975398991","https://openalex.org/W1975412204","https://openalex.org/W2002700944","https://openalex.org/W2009839417","https://openalex.org/W2014059210","https://openalex.org/W2112408199","https://openalex.org/W2124985614","https://openalex.org/W2130589631","https://openalex.org/W2131763976","https://openalex.org/W2136521690","https://openalex.org/W2147101007","https://openalex.org/W2161432648","https://openalex.org/W2284177166","https://openalex.org/W2401126623","https://openalex.org/W6678717061","https://openalex.org/W6679593666"],"related_works":["https://openalex.org/W2964185124","https://openalex.org/W3046216035","https://openalex.org/W2778611902","https://openalex.org/W1990435626","https://openalex.org/W3212430360","https://openalex.org/W2700595004","https://openalex.org/W3102488112","https://openalex.org/W3038952900","https://openalex.org/W2106010231","https://openalex.org/W3106242178","https://openalex.org/W2128367023","https://openalex.org/W3135307571","https://openalex.org/W3022627268","https://openalex.org/W2605366333","https://openalex.org/W2190490644","https://openalex.org/W2787016195","https://openalex.org/W2888947931","https://openalex.org/W2972310616","https://openalex.org/W3002055940","https://openalex.org/W3125954159"],"abstract_inverted_index":{"Several":[0],"learning":[1,36,64,84,102,125],"rules":[2,37],"for":[3,133],"synaptic":[4],"plasticity,":[5],"that":[6,66,81,100,123],"depend":[7],"on":[8,42,77],"either":[9],"spike":[10,112],"timing":[11],"or":[12],"internal":[13],"state":[14],"variables,":[15],"have":[16],"been":[17],"proposed":[18],"in":[19,114],"the":[20,46],"past":[21],"imparting":[22],"varying":[23],"computational":[24,91],"capabilities":[25,92],"to":[26,32,48,75,107,137],"Spiking":[27],"Neural":[28],"Networkss":[29],"(SNNs).":[30],"Due":[31],"design":[33],"complications":[34],"these":[35],"are":[38],"typically":[39],"not":[40],"implemented":[41],"neuromorphic":[43],"devices":[44,47],"leaving":[45],"be":[49,105],"only":[50,68],"capable":[51,88],"of":[52,89,93],"inference.":[53],"In":[54],"this":[55,101,124],"work":[56],"we":[57,98],"propose":[58],"a":[59,83],"unidirectional":[60,139],"post-synaptic":[61],"potential":[62],"dependent":[63],"rule":[65,85,103,126],"is":[67,86,127],"triggered":[69],"by":[70],"pre-synaptic":[71],"spikes,":[72],"and":[73,109,130],"easy":[74],"implement":[76],"hardware.":[78],"We":[79,121],"demonstrate":[80,99],"such":[82],"functionally":[87],"replicating":[90],"pairwise":[94],"STDP.":[95],"Further":[96],"more,":[97],"can":[104],"used":[106],"learn":[108],"classify":[110],"spatio-temporal":[111],"patterns":[113],"an":[115],"unsupervised":[116],"manner":[117],"using":[118],"individual":[119],"neurons.":[120],"argue":[122],"computationally":[128],"powerful":[129],"also":[131],"ideal":[132],"hardware":[134],"implementations":[135],"due":[136],"its":[138],"memory":[140],"access.":[141]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
