{"id":"https://openalex.org/W2735853474","doi":"https://doi.org/10.1109/ijcnn.2017.7966288","title":"Analog hardware implementation of spike-based delayed feedback reservoir computing system","display_name":"Analog hardware implementation of spike-based delayed feedback reservoir computing system","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2735853474","doi":"https://doi.org/10.1109/ijcnn.2017.7966288","mag":"2735853474"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2017.7966288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5100649655","display_name":"Jialing Li","orcid":"https://orcid.org/0000-0003-1827-9313"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jialing Li","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101883577","display_name":"Chenyuan Zhao","orcid":"https://orcid.org/0000-0003-3776-4517"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenyuan Zhao","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000881092","display_name":"Kian Hamedani","orcid":"https://orcid.org/0000-0003-0948-2432"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kian Hamedani","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018632091","display_name":"Yang Yi","orcid":"https://orcid.org/0000-0002-1354-0204"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Yi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, Kansas","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100649655"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":1.8708,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.89178576,"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":"3439","last_page":"3446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":1.0,"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"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9997000098228455,"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":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reservoir-computing","display_name":"Reservoir computing","score":0.9322535395622253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7584068775177002},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.7154632210731506},{"id":"https://openalex.org/keywords/converters","display_name":"Converters","score":0.618730902671814},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5115152597427368},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49191927909851074},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.42946091294288635},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4071395695209503},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3874123692512512},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.37573108077049255},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.37272951006889343},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.33705073595046997},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.2440737783908844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19450196623802185}],"concepts":[{"id":"https://openalex.org/C135796866","wikidata":"https://www.wikidata.org/wiki/Q7315328","display_name":"Reservoir computing","level":4,"score":0.9322535395622253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584068775177002},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.7154632210731506},{"id":"https://openalex.org/C2778422915","wikidata":"https://www.wikidata.org/wiki/Q10302051","display_name":"Converters","level":3,"score":0.618730902671814},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5115152597427368},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49191927909851074},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42946091294288635},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4071395695209503},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3874123692512512},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.37573108077049255},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37272951006889343},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.33705073595046997},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.2440737783908844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19450196623802185},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2017.7966288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2017.7966288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1541097714","https://openalex.org/W1968541783","https://openalex.org/W1977655281","https://openalex.org/W1977664984","https://openalex.org/W1981692982","https://openalex.org/W1988878611","https://openalex.org/W2011791569","https://openalex.org/W2015570990","https://openalex.org/W2022248835","https://openalex.org/W2030568691","https://openalex.org/W2040793532","https://openalex.org/W2045524824","https://openalex.org/W2056642468","https://openalex.org/W2061056596","https://openalex.org/W2067323599","https://openalex.org/W2076015009","https://openalex.org/W2076704713","https://openalex.org/W2088318896","https://openalex.org/W2127073620","https://openalex.org/W2147550080","https://openalex.org/W2148987260","https://openalex.org/W2250111889","https://openalex.org/W2272508502","https://openalex.org/W2294132199","https://openalex.org/W2342641844","https://openalex.org/W2400507664","https://openalex.org/W2513148968","https://openalex.org/W2535636396","https://openalex.org/W2581161559","https://openalex.org/W4230899136","https://openalex.org/W4246667848","https://openalex.org/W6681923470","https://openalex.org/W6694319147","https://openalex.org/W6732524521"],"related_works":["https://openalex.org/W3192662224","https://openalex.org/W2998821156","https://openalex.org/W4389072666","https://openalex.org/W2887258823","https://openalex.org/W4300888463","https://openalex.org/W4226454644","https://openalex.org/W2949388105","https://openalex.org/W4288089155","https://openalex.org/W4379031451","https://openalex.org/W2613833839"],"abstract_inverted_index":{"The":[0,27],"rate":[1],"of":[2,15,24,29,53,69,78,91,102],"enhancement":[3],"is":[4],"starting":[5],"to":[6,19,118],"saturate":[7],"and":[8,66,108,125,136],"slow":[9],"down":[10],"which":[11],"indicates":[12],"the":[13,20,25,32,51,59,64,76],"end":[14],"Moore's":[16],"prediction":[17],"due":[18],"fundamental":[21],"performance":[22],"limits":[23],"chips.":[26],"need":[28],"breaking":[30],"through":[31],"barrier":[33],"has":[34,56],"directed":[35],"researchers":[36],"into":[37],"several":[38],"directions,":[39],"for":[40],"instance,":[41],"novel":[42,48],"computing":[43,74,95],"architecture.":[44],"Reservoir":[45],"computing,":[46],"a":[47,99],"concept":[49],"in":[50,130,133],"field":[52],"machine":[54],"learning,":[55],"emerged":[57],"over":[58],"past":[60],"few":[61],"years.":[62],"Combined":[63],"memory":[65],"spatio-temporal":[67],"processing":[68,79],"recurrent":[70],"neural":[71],"networks,":[72],"reservoir":[73,94,112],"possesses":[75],"capability":[77],"temporal":[80],"information.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85],"present":[86],"an":[87],"analog":[88],"hardware":[89],"implementation":[90],"delayed":[92],"feedback":[93],"system.":[96],"We":[97],"build":[98],"new":[100],"class":[101],"computationally":[103],"efficient":[104],"spike":[105],"timing-dependent":[106],"encoders":[107],"delay-based":[109],"reservoirs":[110],"within":[111],"networks.":[113],"This":[114],"approach":[115],"allows":[116],"us":[117],"avoid":[119],"using":[120],"power-consuming":[121],"analog-to-digital":[122],"converters":[123],"(ADCs)":[124],"operational":[126],"amplifiers":[127],"(Op-AMPs),":[128],"resulting":[129],"significant":[131],"savings":[132],"power":[134],"requirements":[135],"design":[137],"area.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}
