{"id":"https://openalex.org/W3091858974","doi":"https://doi.org/10.1109/tase.2020.3021742","title":"Tactile Surface Roughness Categorization With Multineuron Spike Train Distance","display_name":"Tactile Surface Roughness Categorization With Multineuron Spike Train Distance","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3091858974","doi":"https://doi.org/10.1109/tase.2020.3021742","mag":"3091858974"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2020.3021742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2020.3021742","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-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/A5018768566","display_name":"Zhengkun Yi","orcid":"https://orcid.org/0000-0002-8714-1353"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhengkun Yi","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China","Shenzhen Key Laboratory of Smart Sensing and Intelligent Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Smart Sensing and Intelligent Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078006294","display_name":"Tiantian Xu","orcid":"https://orcid.org/0000-0001-8974-4572"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiantian Xu","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090452349","display_name":"Shifeng Guo","orcid":"https://orcid.org/0000-0001-9638-4309"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifeng Guo","raw_affiliation_strings":["Shenzhen Key Laboratory of Smart Sensing and Intelligent Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Smart Sensing and Intelligent Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053307968","display_name":"Wanfeng Shang","orcid":"https://orcid.org/0000-0002-3256-3268"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanfeng Shang","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352764","display_name":"Xinyu Wu","orcid":"https://orcid.org/0000-0001-6130-7821"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Wu","raw_affiliation_strings":["Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]},{"raw_affiliation_string":"SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018768566"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":2.1576,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.87988912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"4","first_page":"1835","last_page":"1845"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.9993000030517578,"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":0.9328640699386597},{"id":"https://openalex.org/keywords/spike-train","display_name":"Spike train","score":0.7920847535133362},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.617005467414856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.615057110786438},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.6141304969787598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5829348564147949},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5693116188049316},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5114120841026306},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4300643801689148},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.41207054257392883},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40581661462783813},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33973371982574463},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12979504466056824},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1073017418384552}],"concepts":[{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.9328640699386597},{"id":"https://openalex.org/C2909946758","wikidata":"https://www.wikidata.org/wiki/Q194277","display_name":"Spike train","level":3,"score":0.7920847535133362},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.617005467414856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.615057110786438},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.6141304969787598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5829348564147949},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5693116188049316},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5114120841026306},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4300643801689148},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41207054257392883},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40581661462783813},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33973371982574463},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12979504466056824},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1073017418384552},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2020.3021742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2020.3021742","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2205271193","display_name":null,"funder_award_id":"U1613219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2881464093","display_name":null,"funder_award_id":"ZDSYS20190902093209795","funder_id":"https://openalex.org/F4320326705","funder_display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326705","display_name":"Science, Technology and Innovation Commission of Shenzhen Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W101771737","https://openalex.org/W1603076440","https://openalex.org/W1606172390","https://openalex.org/W1843946745","https://openalex.org/W1977618577","https://openalex.org/W1985940938","https://openalex.org/W1989866587","https://openalex.org/W2006370340","https://openalex.org/W2015609665","https://openalex.org/W2018904782","https://openalex.org/W2038104074","https://openalex.org/W2041221222","https://openalex.org/W2052798315","https://openalex.org/W2065319787","https://openalex.org/W2080317558","https://openalex.org/W2089136440","https://openalex.org/W2095891880","https://openalex.org/W2107696819","https://openalex.org/W2111562869","https://openalex.org/W2115831804","https://openalex.org/W2122111042","https://openalex.org/W2128447713","https://openalex.org/W2134172620","https://openalex.org/W2164653071","https://openalex.org/W2165639766","https://openalex.org/W2192203593","https://openalex.org/W2346248586","https://openalex.org/W2460702140","https://openalex.org/W2549570036","https://openalex.org/W2568537865","https://openalex.org/W2597384920","https://openalex.org/W2766436878","https://openalex.org/W2789475128","https://openalex.org/W2791836551","https://openalex.org/W2795214645","https://openalex.org/W2798878556","https://openalex.org/W2888836575","https://openalex.org/W2899614114","https://openalex.org/W2933561437","https://openalex.org/W2944814598","https://openalex.org/W2966081953","https://openalex.org/W2976523354","https://openalex.org/W2979587758","https://openalex.org/W2983370675","https://openalex.org/W2999560924","https://openalex.org/W3012119183","https://openalex.org/W3034932469","https://openalex.org/W3083311324","https://openalex.org/W6729360231","https://openalex.org/W6768333039","https://openalex.org/W6773071313"],"related_works":["https://openalex.org/W2383615955","https://openalex.org/W4306175885","https://openalex.org/W4312604567","https://openalex.org/W2329992713","https://openalex.org/W2062974934","https://openalex.org/W2187212244","https://openalex.org/W2775582103","https://openalex.org/W3099141515","https://openalex.org/W2542565870","https://openalex.org/W2583316550"],"abstract_inverted_index":{"Tactile":[0],"sensing":[1,225,232,265],"with":[2,89,206,309],"spiking":[3,259],"neural":[4,260],"networks":[5],"(SNNs)":[6],"has":[7,195],"attracted":[8],"increasing":[9],"attention":[10],"in":[11,139,234,354],"the":[12,25,48,52,57,80,90,98,106,112,121,128,159,192,218,227,230,237,284,321,345],"past":[13],"decades.":[14],"In":[15,31,282],"this":[16,253],"article,":[17],"a":[18,165,199,256,355],"novel":[19,257],"SNN":[20,35],"framework":[21,170],"is":[22,125,171,277,342,348],"proposed":[23,81,169,193,346],"for":[24,263],"tactile":[26,116,200,224,231,243,251,264,356],"surface":[27],"roughness":[28,357],"categorization":[29],"task.":[30,359],"contrast":[32],"to":[33,215,271,287,323,350],"supervised":[34,258],"methods":[36,68,184,269],"such":[37],"as":[38,164],"ReSuMe":[39],"and":[40,158,180,209,226,239],"Tempotron":[41],"that":[42,344],"require":[43],"prespecifying":[44],"target":[45,273,325],"spike":[46,61,65,72,77,84,92,103,107,123,131,161,177,181,274,289,305,311,316,326,330,336],"trains,":[47,275],"presented":[49],"method":[50,82,194,262,347],"performs":[51],"classification":[53,144,353],"through":[54],"directly":[55],"comparing":[56,204],"distance":[58,74,163,332],"between":[59],"multineuron":[60,91,122,129,160,176,310,329],"trains.":[62,104,327],"Unlike":[63],"simple":[64],"train":[66,73,78,93,132,162,178,182,306,312,317,331],"fusion":[67],"using":[69,127,304],"average":[70],"pairwise":[71],"or":[75],"pooled":[76],"distance,":[79,94,133],"merges":[83],"trains":[85,108,124,290,337],"from":[86,115,291,296,338],"different":[87,339],"neurons":[88,114,293],"which":[95,134,276],"can":[96,135,145,185,333],"capture":[97],"complex":[99],"correlation":[100],"of":[101,120,191,222,229,241],"multiple":[102,292],"Specifically,":[105],"are":[109,245,294],"generated":[110],"via":[111],"Izhikevich":[113],"signals.":[117],"The":[118,143,168,189,267,314,328],"similarity":[119,166,307,318],"computed":[126],"Victor\u2013Purpura":[130],"be":[136,146,186],"efficiently":[137],"implemented":[138],"an":[140,279],"inductive":[141],"manner.":[142],"performed":[147],"by":[148,203,249],"incorporating":[149],"<inline-formula":[150],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[151,213],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[152],"<tex-math":[153],"notation=\"LaTeX\">$k$":[154],"</tex-math></inline-formula>":[155],"-nearest":[156],"neighbors":[157],"metric.":[167],"quite":[172,246],"general,":[173],"i.e.,":[174],"other":[175],"distances":[179],"kernel-based":[183],"readily":[187],"incorporated.":[188],"effectiveness":[190],"been":[196],"demonstrated":[197,343],"on":[198],"data":[201],"set":[202],"it":[205],"various":[207],"feature-":[208],"spike-based":[210],"methods.":[211],"<italic":[212],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Note":[214],"Practitioners</i>":[216],"\u2014In":[217],"soft":[219],"neuromorphic":[220],"implementation":[221],"biomimetic":[223],"development":[228],"capability":[233],"neurobotic":[235],"systems,":[236],"processing":[238],"analysis":[240],"spike-like":[242],"signals":[244],"common.":[247],"Inspired":[248],"human":[250],"perception,":[252],"article":[254,299],"proposes":[255],"network":[261],"tasks.":[266],"traditional":[268],"have":[270],"prespecify":[272,324],"still":[278],"open":[280],"question.":[281],"addition,":[283],"current":[285],"ways":[286],"fuse":[288,335],"far":[295],"mature.":[297],"This":[298],"tackles":[300],"these":[301],"two":[302],"problems":[303],"comparison":[308,319],"distance.":[313],"direct":[315],"avoids":[320],"need":[322],"inherently":[334],"neurons.":[340],"It":[341],"able":[349],"effectively":[351],"perform":[352],"discrimination":[358]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}