{"id":"https://openalex.org/W2896104439","doi":"https://doi.org/10.1109/ijcnn.2018.8489666","title":"A Timescale Invariant STDP-Based Spiking Deep Network for Unsupervised Online Feature Extraction from Event-Based Sensor Data","display_name":"A Timescale Invariant STDP-Based Spiking Deep Network for Unsupervised Online Feature Extraction from Event-Based Sensor Data","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2896104439","doi":"https://doi.org/10.1109/ijcnn.2018.8489666","mag":"2896104439"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2018.8489666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052581839","display_name":"Johannes Thiele","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Johannes C. Thiele","raw_affiliation_strings":["CEA, LIST, Gif-sur-Yvette CEDEX, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, LIST, Gif-sur-Yvette CEDEX, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076632990","display_name":"Olivier Bichler","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Bichler","raw_affiliation_strings":["CEA, LIST, Gif-sur-Yvette CEDEX, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, LIST, Gif-sur-Yvette CEDEX, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008973296","display_name":"Antoine Dupret","orcid":null},"institutions":[{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]},{"id":"https://openalex.org/I4210085861","display_name":"Laboratoire d'Int\u00e9gration des Syst\u00e8mes et des Technologies","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I277688954","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antoine Dupret","raw_affiliation_strings":["CEA, LIST, Gif-sur-Yvette CEDEX, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEA, LIST, Gif-sur-Yvette CEDEX, France","institution_ids":["https://openalex.org/I2738703131","https://openalex.org/I4210085861"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"521","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":0.9991000294685364,"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":0.9961000084877014,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8482962250709534},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7885922193527222},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.7864028215408325},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.6618978977203369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6121391654014587},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5184175968170166},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49921441078186035},{"id":"https://openalex.org/keywords/spike-timing-dependent-plasticity","display_name":"Spike-timing-dependent plasticity","score":0.4639657735824585},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45968788862228394},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.45454853773117065},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4515005648136139},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4420090913772583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41016483306884766},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4048081934452057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36783427000045776}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8482962250709534},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7885922193527222},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.7864028215408325},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.6618978977203369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6121391654014587},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5184175968170166},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49921441078186035},{"id":"https://openalex.org/C159919123","wikidata":"https://www.wikidata.org/wiki/Q7577157","display_name":"Spike-timing-dependent plasticity","level":4,"score":0.4639657735824585},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45968788862228394},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.45454853773117065},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4515005648136139},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4420090913772583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41016483306884766},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4048081934452057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36783427000045776},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C25274449","wikidata":"https://www.wikidata.org/wiki/Q1805481","display_name":"Long-term potentiation","level":3,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2018.8489666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2018.8489666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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":33,"referenced_works":["https://openalex.org/W1503792000","https://openalex.org/W2003400208","https://openalex.org/W2016574277","https://openalex.org/W2104901802","https://openalex.org/W2112796928","https://openalex.org/W2129936377","https://openalex.org/W2147101007","https://openalex.org/W2149211411","https://openalex.org/W2283854151","https://openalex.org/W2313320147","https://openalex.org/W2343732617","https://openalex.org/W2419165387","https://openalex.org/W2513853720","https://openalex.org/W2520854767","https://openalex.org/W2552737632","https://openalex.org/W2556009568","https://openalex.org/W2562486519","https://openalex.org/W2565565355","https://openalex.org/W2579313944","https://openalex.org/W2604864632","https://openalex.org/W2758905644","https://openalex.org/W2779025322","https://openalex.org/W2919115771","https://openalex.org/W2962804204","https://openalex.org/W2963335874","https://openalex.org/W2963817554","https://openalex.org/W3106257432","https://openalex.org/W6678981327","https://openalex.org/W6726592036","https://openalex.org/W6736679461","https://openalex.org/W6747756095","https://openalex.org/W6966728685","https://openalex.org/W7027401133"],"related_works":["https://openalex.org/W3137378424","https://openalex.org/W2809732489","https://openalex.org/W4287780255","https://openalex.org/W3023361272","https://openalex.org/W4391092513","https://openalex.org/W4393235919","https://openalex.org/W4281699635","https://openalex.org/W2944910788","https://openalex.org/W3177394781","https://openalex.org/W4310007453"],"abstract_inverted_index":{"We":[0,50,74],"introduce":[1],"a":[2,17,33,104,114,146],"deep":[3],"spiking":[4],"convolutional":[5],"neural":[6],"network":[7,30,54,87],"of":[8,19,46,107,113],"integrate-and-fire":[9],"(IF)":[10],"neurons,":[11],"which":[12,40,93],"extracts":[13],"hierarchical":[14,100],"features":[15,61,78,101],"from":[16,62,103],"stream":[18,106],"event-based":[20,64,150],"vision":[21,151],"data":[22],"in":[23,71],"an":[24,47],"unsupervised":[25,102],"fashion":[26],"and":[27,117,129],"online.":[28],"Our":[29,86],"operates":[31],"with":[32],"simple":[34,128],"spike-timing":[35],"dependent":[36],"plasticity":[37],"(STDP)":[38],"rule,":[39],"does":[41],"not":[42],"require":[43],"the":[44,63,72,89,123,134],"definition":[45],"input":[48],"timescale.":[49],"demonstrate":[51,75],"how":[52,76],"our":[53,138],"is":[55,88],"able":[56],"to":[57,82,97,136,144],"learn":[58,98],"translational":[59],"invariant":[60],"N-MNIST":[65],"dataset,":[66],"while":[67],"preserving":[68],"dynamic":[69],"information":[70],"data.":[73],"these":[77],"can":[79,94],"be":[80,95],"used":[81,96],"perform":[83],"online":[84],"classification.":[85],"first":[90],"neuromorphic":[91,142],"system":[92,139],"complex":[99],"continuous":[105],"address-event-representation":[108],"(AER)":[109],"data,":[110],"operating":[111],"outside":[112],"database":[115],"framework":[116],"on":[118,140],"multiple":[119],"timescales.":[120],"Additionally,":[121],"all":[122],"mechanisms":[124],"we":[125],"use":[126],"are":[127],"generic.":[130],"This":[131],"could":[132],"open":[133],"possibility":[135],"implement":[137],"current":[141],"hardware,":[143],"build":[145],"real-world":[147],"fully":[148],"adaptive":[149],"system.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
