{"id":"https://openalex.org/W2102850140","doi":"https://doi.org/10.1109/embc.2013.6610670","title":"Dynamical system design for silicon neurons using phase reduction approach","display_name":"Dynamical system design for silicon neurons using phase reduction approach","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2102850140","doi":"https://doi.org/10.1109/embc.2013.6610670","mag":"2102850140","pmid":"https://pubmed.ncbi.nlm.nih.gov/24110857"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2013.6610670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6610670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","pubmed"],"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/A5103042564","display_name":"Kazuki Nakada","orcid":"https://orcid.org/0000-0003-2375-2603"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Nakada","raw_affiliation_strings":["Advanced Electronics Research Division, Kyushu University, Fukuoka, Japan","Adv. Electron. Res. Div., Kyushu Univ., Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Electronics Research Division, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Adv. Electron. Res. Div., Kyushu Univ., Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017240478","display_name":"Keiji Miura","orcid":"https://orcid.org/0000-0002-9258-6541"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiji Miura","raw_affiliation_strings":["Graduate School of Information Sciences, Tohoku University, Aoba-ku, Sendai, Japan","Grad. Sch. of Inf. Sci., Tohoku University, Sendai, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Sciences, Tohoku University, Aoba-ku, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci., Tohoku University, Sendai, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080170293","display_name":"Tetsuya Asai","orcid":"https://orcid.org/0000-0003-1158-9810"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Asai","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]},{"raw_affiliation_string":"Grad. Sch. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4053,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58506138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"e90 a","issue":null,"first_page":"4997","last_page":"5000"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9994999766349792,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9987000226974487,"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/reduction","display_name":"Reduction (mathematics)","score":0.748847484588623},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.6287536025047302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6283192038536072},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.5652607679367065},{"id":"https://openalex.org/keywords/phase-synchronization","display_name":"Phase synchronization","score":0.5113536715507507},{"id":"https://openalex.org/keywords/circuit-design","display_name":"Circuit design","score":0.49216049909591675},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4819886088371277},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.47078222036361694},{"id":"https://openalex.org/keywords/silicon","display_name":"Silicon","score":0.4700153172016144},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44401615858078003},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3968276083469391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20526200532913208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19021904468536377},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18833595514297485},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13743993639945984},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1289893090724945},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09119042754173279},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09021568298339844}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.748847484588623},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.6287536025047302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6283192038536072},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.5652607679367065},{"id":"https://openalex.org/C194027367","wikidata":"https://www.wikidata.org/wiki/Q4420475","display_name":"Phase synchronization","level":3,"score":0.5113536715507507},{"id":"https://openalex.org/C190560348","wikidata":"https://www.wikidata.org/wiki/Q3245116","display_name":"Circuit design","level":2,"score":0.49216049909591675},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4819886088371277},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.47078222036361694},{"id":"https://openalex.org/C544956773","wikidata":"https://www.wikidata.org/wiki/Q670","display_name":"Silicon","level":2,"score":0.4700153172016144},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44401615858078003},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3968276083469391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20526200532913208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19021904468536377},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18833595514297485},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13743993639945984},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1289893090724945},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09119042754173279},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09021568298339844},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001330","descriptor_name":"Electronic Data Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001330","descriptor_name":"Electronic Data Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001330","descriptor_name":"Electronic Data Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D012825","descriptor_name":"Silicon","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012825","descriptor_name":"Silicon","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012825","descriptor_name":"Silicon","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2013.6610670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6610670","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:24110857","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24110857","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W111157985","https://openalex.org/W1592411342","https://openalex.org/W1974558110","https://openalex.org/W1976748656","https://openalex.org/W1978477191","https://openalex.org/W1979300741","https://openalex.org/W1997261908","https://openalex.org/W2045123857","https://openalex.org/W2049818599","https://openalex.org/W2089809945","https://openalex.org/W2097840917","https://openalex.org/W2098221167","https://openalex.org/W2099836898","https://openalex.org/W2105087240","https://openalex.org/W2114988316","https://openalex.org/W2116507929","https://openalex.org/W2142400900","https://openalex.org/W2168114164","https://openalex.org/W2404058514","https://openalex.org/W2590691026","https://openalex.org/W4243832265"],"related_works":["https://openalex.org/W1963851439","https://openalex.org/W1827287738","https://openalex.org/W2095704199","https://openalex.org/W4210284618","https://openalex.org/W3033537072","https://openalex.org/W2114958893","https://openalex.org/W1995406459","https://openalex.org/W2068628444","https://openalex.org/W2022401564","https://openalex.org/W2082395593"],"abstract_inverted_index":{"In":[0],"the":[1,23,32,53,69,93],"present":[2],"paper,":[3],"we":[4,20,30,61,80],"apply":[5],"a":[6,50,58,75,85],"computer-aided":[7],"phase":[8,33,54],"reduction":[9,55],"approach":[10],"to":[11,42,64],"dynamical":[12,24],"system":[13,25],"design":[14,26,44],"for":[15,27],"silicon":[16,86],"neurons":[17],"(SiNs).":[18],"Firstly,":[19],"briefly":[21],"review":[22],"SiNs.":[28],"Secondly,":[29],"summarize":[31],"response":[34],"properties":[35],"of":[36,39,52,68,92],"circuit":[37,66,73],"models":[38],"previous":[40],"SiNs":[41],"clarify":[43],"criteria":[45],"in":[46,84],"our":[47],"approach.":[48],"From":[49],"viewpoint":[51],"theory,":[56],"as":[57,74],"case":[59],"study,":[60],"show":[62],"how":[63],"tune":[65],"parameters":[67],"resonate-and-fire":[70],"neuron":[71],"(RFN)":[72],"hybrid":[76],"type":[77],"SiN.":[78],"Finally,":[79],"demonstrate":[81],"delay-induced":[82],"synchronization":[83],"spiking":[87],"neural":[88],"network":[89],"that":[90],"consists":[91],"RFN":[94],"circuits.":[95]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}