{"id":"https://openalex.org/W2076748751","doi":"https://doi.org/10.1002/scj.4690190809","title":"A neural network model composed of multioscillators to generate low\u2014frequency biological rhythms","display_name":"A neural network model composed of multioscillators to generate low\u2014frequency biological rhythms","publication_year":1988,"publication_date":"1988-08-01","ids":{"openalex":"https://openalex.org/W2076748751","doi":"https://doi.org/10.1002/scj.4690190809","mag":"2076748751"},"language":"en","primary_location":{"id":"doi:10.1002/scj.4690190809","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690190809","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","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/A5020307446","display_name":"Shuji Endo","orcid":null},"institutions":[{"id":"https://openalex.org/I27905866","display_name":"University of Teacher Education Fukuoka","ror":"https://ror.org/003vkcj31","country_code":"JP","type":"education","lineage":["https://openalex.org/I27905866"]},{"id":"https://openalex.org/I31784960","display_name":"Fukuoka University","ror":"https://ror.org/04nt8b154","country_code":"JP","type":"education","lineage":["https://openalex.org/I31784960"]},{"id":"https://openalex.org/I347606037","display_name":"Endo Pharmaceuticals (United States)","ror":"https://ror.org/01k4vzb64","country_code":"US","type":"company","lineage":["https://openalex.org/I347606037"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"Shuji Endo","raw_affiliation_strings":["Department of Technology, Fukuoka University of Education, Munakata, Japan 811\u201341","Shiju Endo graduated in 1971 from the Dept. of Electrical Eng., Fac. Eng., Tokushima University, and obtained his M.S. in 1973. He was appointed an assistant in 1973, Lecturer in 1977, and Assoc. Professor i n 1983 at Fukuoka Univ. of Education. His work is primarily in research on neural networks. Mr. Endo is a member of the Jap. SOC. Biphys., and JSMEBE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Technology, Fukuoka University of Education, Munakata, Japan 811\u201341","institution_ids":["https://openalex.org/I27905866","https://openalex.org/I31784960"]},{"raw_affiliation_string":"Shiju Endo graduated in 1971 from the Dept. of Electrical Eng., Fac. Eng., Tokushima University, and obtained his M.S. in 1973. He was appointed an assistant in 1973, Lecturer in 1977, and Assoc. Professor i n 1983 at Fukuoka Univ. of Education. His work is primarily in research on neural networks. Mr. Endo is a member of the Jap. SOC. Biphys., and JSMEBE","institution_ids":["https://openalex.org/I347606037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108190372","display_name":"Yohsuke Kinouchi","orcid":null},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yohsuke Kinouchi","raw_affiliation_strings":["Faculty of Engineering, The University of Tokushima, Tokushima, Japan 770","Yosuke Kinouchi graduated in 1966 from the Dept. of Elect. Eng., Fac. Eng., Tokushima University, and obtained his M.S. in 1968. He was appointed an assistant in 1968 and is presently an Assoc. Professor in the Dept. Electrical Eng., Fac. Eng., Tokushima University. He has a doctorate in Engineering and is engaged in research on medical electronics and digital communication. Dr. Kinouchi is a member of I.E.E., Japan, JSMEBE, and I.E.E.E"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, The University of Tokushima, Tokushima, Japan 770","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"Yosuke Kinouchi graduated in 1966 from the Dept. of Elect. Eng., Fac. Eng., Tokushima University, and obtained his M.S. in 1968. He was appointed an assistant in 1968 and is presently an Assoc. Professor in the Dept. Electrical Eng., Fac. Eng., Tokushima University. He has a doctorate in Engineering and is engaged in research on medical electronics and digital communication. Dr. Kinouchi is a member of I.E.E., Japan, JSMEBE, and I.E.E.E","institution_ids":["https://openalex.org/I922474255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008262731","display_name":"Tomiyuki Ushita","orcid":null},"institutions":[{"id":"https://openalex.org/I922474255","display_name":"Tokushima University","ror":"https://ror.org/044vy1d05","country_code":"JP","type":"education","lineage":["https://openalex.org/I922474255"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomiyuki Ushita","raw_affiliation_strings":["Faculty of Engineering, The University of Tokushima, Tokushima, Japan 770","Tomiyuki Ushita graduated in 1943 from the Dept. of Electrical Eng., Tokushima College of Engineering. In 1946 he was appointed Lecturer at Tokushima College of Eng., and later affiliated with Fac. Eng. of Tokushima University. Presently, he is a Professor of the Dept. of Electrical Engineering. He is engaged primarily in medical electronics, specifically, neural networks and the application of magnets to dentistry. Dr. Ushita was the recipient of the Paper Award, I.E.C.E., Japan, and is the author of Electronic Engineering, and other books"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, The University of Tokushima, Tokushima, Japan 770","institution_ids":["https://openalex.org/I922474255"]},{"raw_affiliation_string":"Tomiyuki Ushita graduated in 1943 from the Dept. of Electrical Eng., Tokushima College of Engineering. In 1946 he was appointed Lecturer at Tokushima College of Eng., and later affiliated with Fac. Eng. of Tokushima University. Presently, he is a Professor of the Dept. of Electrical Engineering. He is engaged primarily in medical electronics, specifically, neural networks and the application of magnets to dentistry. Dr. Ushita was the recipient of the Paper Award, I.E.C.E., Japan, and is the author of Electronic Engineering, and other books","institution_ids":["https://openalex.org/I922474255"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.23950456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"8","first_page":"97","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11187","display_name":"Nonlinear Dynamics and Pattern Formation","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12236","display_name":"Photoreceptor and optogenetics research","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.973800003528595,"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/rhythm","display_name":"Rhythm","score":0.862847089767456},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6155984401702881},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5665820837020874},{"id":"https://openalex.org/keywords/circadian-rhythm","display_name":"Circadian rhythm","score":0.5663422346115112},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.5207024216651917},{"id":"https://openalex.org/keywords/phase-response-curve","display_name":"Phase response curve","score":0.48728764057159424},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4630788266658783},{"id":"https://openalex.org/keywords/suprachiasmatic-nucleus","display_name":"Suprachiasmatic nucleus","score":0.45877230167388916},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.43975770473480225},{"id":"https://openalex.org/keywords/biological-neural-network","display_name":"Biological neural network","score":0.42730873823165894},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.36415112018585205},{"id":"https://openalex.org/keywords/circadian-clock","display_name":"Circadian clock","score":0.3270859718322754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2866368293762207},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22113922238349915},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18255698680877686},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1121222972869873},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.10425186157226562}],"concepts":[{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.862847089767456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6155984401702881},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5665820837020874},{"id":"https://openalex.org/C121446783","wikidata":"https://www.wikidata.org/wiki/Q208353","display_name":"Circadian rhythm","level":2,"score":0.5663422346115112},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.5207024216651917},{"id":"https://openalex.org/C63531555","wikidata":"https://www.wikidata.org/wiki/Q7180960","display_name":"Phase response curve","level":4,"score":0.48728764057159424},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4630788266658783},{"id":"https://openalex.org/C2779317972","wikidata":"https://www.wikidata.org/wiki/Q1156516","display_name":"Suprachiasmatic nucleus","level":3,"score":0.45877230167388916},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.43975770473480225},{"id":"https://openalex.org/C118403218","wikidata":"https://www.wikidata.org/wiki/Q43283","display_name":"Biological neural network","level":2,"score":0.42730873823165894},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.36415112018585205},{"id":"https://openalex.org/C38606739","wikidata":"https://www.wikidata.org/wiki/Q5121352","display_name":"Circadian clock","level":3,"score":0.3270859718322754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2866368293762207},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22113922238349915},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18255698680877686},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1121222972869873},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.10425186157226562},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/scj.4690190809","is_oa":false,"landing_page_url":"https://doi.org/10.1002/scj.4690190809","pdf_url":null,"source":{"id":"https://openalex.org/S58208175","display_name":"Systems and Computers in Japan","issn_l":"0882-1666","issn":["0882-1666","1520-684X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Systems and Computers in Japan","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2023458981","https://openalex.org/W2026664987"],"related_works":["https://openalex.org/W2152248062","https://openalex.org/W4238995646","https://openalex.org/W2163830119","https://openalex.org/W2486065913","https://openalex.org/W3184445024","https://openalex.org/W4316505657","https://openalex.org/W2150078703","https://openalex.org/W51718800","https://openalex.org/W26637213","https://openalex.org/W2024250237"],"abstract_inverted_index":{"Abstract":[0],"The":[1,54,109,129],"biological":[2,48],"system":[3],"has":[4],"low\u2010frequency":[5,47,107,114],"rhythms,":[6],"such":[7,29],"as":[8,30],"a":[9,39,71,93],"circadian":[10,22],"rhythm.":[11,108],"In":[12],"general,":[13],"it":[14],"is":[15,24,56,103,116],"considered":[16],"that":[17],"the":[18,21,26,46,59,74,77,83,86,90,96,100,106,113,119,123,126,132],"source":[19],"of":[20,58,61,65,76,85,99,122,131],"rhythm":[23,115,134],"mostly":[25],"neural":[27,40,62],"system,":[28],"optic":[31],"lobe":[32],"and":[33,50,125],"suprachiasmatic":[34],"nucleus.":[35],"This":[36],"paper":[37],"proposes":[38],"network":[41],"model":[42,55,102,124],"which":[43],"can":[44],"generate":[45],"rhythm,":[49],"discusses":[51],"its":[52],"characteristics.":[53],"composed":[57,64],"set":[60],"oscillators":[63,91],"excitatory\u2010inhibitory":[66],"neuron":[67,72,88],"pairs,":[68],"together":[69],"with":[70],"taking":[73],"sum":[75],"oscillator":[78],"activities.":[79],"By":[80],"feeding":[81],"back":[82],"activity":[84],"summing":[87],"to":[89],"by":[92],"suitable":[94],"magnitude,":[95],"proper":[97],"frequency":[98],"whole":[101],"decreased,":[104],"realizing":[105],"generation":[110],"condition":[111],"for":[112],"derived":[117],"through":[118],"approximate":[120],"analysis":[121],"computer":[127],"simulation.":[128],"properties":[130],"generated":[133],"are":[135],"discussed.":[136]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
