{"id":"https://openalex.org/W4416926396","doi":"https://doi.org/10.1145/3770658","title":"S <scp>pike</scp> T <scp>ouch</scp> : Optimizing Spike Neural Networks for Tactile Perception","display_name":"S <scp>pike</scp> T <scp>ouch</scp> : Optimizing Spike Neural Networks for Tactile Perception","publication_year":2025,"publication_date":"2025-12-02","ids":{"openalex":"https://openalex.org/W4416926396","doi":"https://doi.org/10.1145/3770658"},"language":"en","primary_location":{"id":"doi:10.1145/3770658","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3770658","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","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/A5110421761","display_name":"Xiao Zhao","orcid":"https://orcid.org/0009-0005-4305-0977"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuerong Zhao","raw_affiliation_strings":["School of Information Science and Technology, Northwest University, Xi'an, Shan Xi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi'an, Shan Xi, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089200615","display_name":"Xuan Wang","orcid":"https://orcid.org/0000-0002-6271-0388"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wang","raw_affiliation_strings":["School of Information science and Technology, Northwest University, Xi'an, Shan Xi, China"],"affiliations":[{"raw_affiliation_string":"School of Information science and Technology, Northwest University, Xi'an, Shan Xi, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046569766","display_name":"Jian Wu","orcid":"https://orcid.org/0009-0001-8393-1147"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wu","raw_affiliation_strings":["School of Information Science and Technology, Northwest University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northwest University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039139749","display_name":"Chao Feng","orcid":"https://orcid.org/0000-0002-7322-2320"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Feng","raw_affiliation_strings":["Northwest University, xi an, shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Northwest University, xi an, shaanxi, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065103224","display_name":"Dingyi Fang","orcid":"https://orcid.org/0000-0002-5816-6922"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingyi Fang","raw_affiliation_strings":["Northwest University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322143","display_name":"Xiaojiang Chen","orcid":"https://orcid.org/0000-0002-1180-6806"},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojiang Chen","raw_affiliation_strings":["Northwest University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Northwest University, Xi'an, China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401045","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0001-6157-0662"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["University of Leeds, Leeds, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Leeds, Leeds, United Kingdom","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5110421761"],"corresponding_institution_ids":["https://openalex.org/I37802460"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37072779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"4","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8281999826431274,"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":0.8281999826431274,"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":0.06909999996423721,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.04919999837875366,"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":0.9319999814033508},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5674999952316284},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.5424000024795532},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5327000021934509},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5097000002861023},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48500001430511475},{"id":"https://openalex.org/keywords/tactile-perception","display_name":"Tactile perception","score":0.48159998655319214},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.3959999978542328},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.3727000057697296}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9319999814033508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76910001039505},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5674999952316284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5634999871253967},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5327000021934509},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5097000002861023},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48500001430511475},{"id":"https://openalex.org/C3017819093","wikidata":"https://www.wikidata.org/wiki/Q328835","display_name":"Tactile perception","level":3,"score":0.48159998655319214},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3959999978542328},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.3391999900341034},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3073999881744385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30169999599456787},{"id":"https://openalex.org/C15286952","wikidata":"https://www.wikidata.org/wiki/Q8037925","display_name":"Computational neuroscience","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C46722567","wikidata":"https://www.wikidata.org/wiki/Q7674139","display_name":"Tactile sensor","level":3,"score":0.2822999954223633},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27730000019073486},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2770000100135803},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3770658","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3770658","pdf_url":null,"source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7291475134","display_name":null,"funder_award_id":"62272388 and 62302392","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1581953684","https://openalex.org/W2130459697","https://openalex.org/W2138913040","https://openalex.org/W2282481780","https://openalex.org/W2328191957","https://openalex.org/W2783525259","https://openalex.org/W2810761308","https://openalex.org/W2949676527","https://openalex.org/W2966081953","https://openalex.org/W2973548844","https://openalex.org/W3112688927","https://openalex.org/W3171804290","https://openalex.org/W3183719272","https://openalex.org/W3200038452","https://openalex.org/W3203274274","https://openalex.org/W4213328565","https://openalex.org/W4223921983","https://openalex.org/W4281635836","https://openalex.org/W4286221450","https://openalex.org/W4294891909","https://openalex.org/W4327606277","https://openalex.org/W4366774285","https://openalex.org/W4386953665","https://openalex.org/W4392503782","https://openalex.org/W4393342251","https://openalex.org/W4399013206","https://openalex.org/W4402722418"],"related_works":[],"abstract_inverted_index":{"Tactile":[0],"perception":[1,35,99,166],"enables":[2],"systems":[3],"to":[4,33,70,90,112,145],"sense":[5],"and":[6,15,28,51,75,124,136,148,183,193,201,227],"interpret":[7],"physical":[8],"properties":[9],"such":[10],"as":[11],"shape,":[12],"material,":[13],"pressure,":[14],"texture.":[16],"It":[17,196],"is":[18,197],"a":[19,59,86,117,128,138,224,229],"key":[20,109],"capability":[21],"for":[22,97,131,180],"emerging":[23],"applications":[24],"like":[25],"robotic":[26],"surgery":[27],"assistive":[29],"robotics.":[30],"Existing":[31],"solutions":[32],"tactile":[34,98,114,134,165],"typically":[36,221],"rely":[37],"on":[38,49,100,158],"computation-intensive":[39],"deep":[40],"neural":[41,55],"networks,":[42],"which":[43],"require":[44],"high-performance":[45],"computing":[46],"resources":[47],"unavailable":[48],"embedded":[50],"battery-powered":[52],"devices.":[53],"Spiking":[54],"networks":[56],"(SNNs)":[57],"offer":[58],"promising,":[60],"energy-efficient":[61],"alternative,":[62],"but":[63],"their":[64,184],"practical":[65],"adoption":[66],"remains":[67],"limited":[68],"due":[69],"the":[71,92,159,215,238],"lack":[72],"of":[73,95,191,209,219,243],"efficient":[74],"deployable":[76],"neuromorphic":[77,101,161],"solutions.":[78],"We":[79,152],"present":[80],"S":[81,103,154,172],"pike":[82,104,155,173],"T":[83,105,156,174],"ouch":[84,106,157,175],",":[85],"software":[87],"framework":[88],"designed":[89],"reduce":[91,149],"computational":[93,125],"overhead":[94],"SNNs":[96],"hardware.":[102],"offers":[107],"three":[108],"optimizations":[110],"tailed":[111],"SNN-based":[113],"perception:":[115],"(1)":[116],"spike":[118],"encoding":[119],"scheme":[120],"that":[121,141,171],"balances":[122],"precision":[123],"cost;":[126],"(2)":[127],"systematic":[129],"method":[130],"extracting":[132],"multidimensional":[133],"features;":[135],"(3)":[137],"training":[139],"strategy":[140],"minimizes":[142],"quantization":[143],"errors":[144],"improve":[146],"performance":[147],"memory":[150],"usage.":[151],"evaluate":[153],"Tianjic":[160],"chip":[162],"using":[163],"representative":[164],"workloads.":[167],"Our":[168],"results":[169],"show":[170],"achieves":[176],"high":[177],"recognition":[178],"accuracy":[179,190],"30":[181],"objects":[182],"material":[185],"stiffness,":[186],"with":[187],"an":[188],"average":[189,239],"92.92%":[192],"92.35%,":[194],"respectively.":[195],"also":[198],"highly":[199],"energy":[200],"computationally":[202],"efficient,":[203],"operating":[204],"at":[205],"just":[206],"1":[207],"Watt":[208],"power":[210],"-":[211,226,235],"significantly":[212],"lower":[213],"than":[214],"hundreds":[216],"or":[217],"thousands":[218],"Watts":[220],"required":[222],"by":[223],"GPU":[225],"delivering":[228],"response":[230],"in":[231],"under":[232],"20":[233],"ms":[234],"well":[236],"below":[237],"human":[240],"reflex":[241],"time":[242],"over":[244],"100":[245],"ms.":[246]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-02T00:00:00"}
