{"id":"https://openalex.org/W4312792073","doi":"https://doi.org/10.1109/iscas48785.2022.9937691","title":"A Novel Hardware-Efficient Network of Ergodic Cellular Automaton Neuron Models and its On-FPGA Learning","display_name":"A Novel Hardware-Efficient Network of Ergodic Cellular Automaton Neuron Models and its On-FPGA Learning","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312792073","doi":"https://doi.org/10.1109/iscas48785.2022.9937691"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937691","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5101054204","display_name":"Haruto Suzuki","orcid":null},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Haruto Suzuki","raw_affiliation_strings":["Hosei University,Graduate school of science and engineering,Tokyo,Japan","Graduate school of science and engineering, Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University,Graduate school of science and engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Graduate school of science and engineering, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053518708","display_name":"Hiroyuki Torikai","orcid":"https://orcid.org/0000-0003-2795-9628"},"institutions":[{"id":"https://openalex.org/I204291657","display_name":"Hosei University","ror":"https://ror.org/00bx6dj65","country_code":"JP","type":"education","lineage":["https://openalex.org/I204291657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Torikai","raw_affiliation_strings":["Hosei University,Graduate school of science and engineering,Tokyo,Japan","Graduate school of science and engineering, Hosei University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Hosei University,Graduate school of science and engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I204291657"]},{"raw_affiliation_string":"Graduate school of science and engineering, Hosei University, Tokyo, Japan","institution_ids":["https://openalex.org/I204291657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101054204"],"corresponding_institution_ids":["https://openalex.org/I204291657"],"apc_list":null,"apc_paid":null,"fwci":2.2532,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89814966,"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":"2266","last_page":"2270"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987000226974487,"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":0.9987000226974487,"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":0.998199999332428,"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"}},{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.7681460380554199},{"id":"https://openalex.org/keywords/ergodic-theory","display_name":"Ergodic theory","score":0.6522065997123718},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6468726992607117},{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.588646411895752},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.5817127227783203},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4954427480697632},{"id":"https://openalex.org/keywords/neuron","display_name":"Neuron","score":0.49282076954841614},{"id":"https://openalex.org/keywords/automaton","display_name":"Automaton","score":0.48687735199928284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44276732206344604},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.15087950229644775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12119093537330627},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09755063056945801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7681460380554199},{"id":"https://openalex.org/C122044880","wikidata":"https://www.wikidata.org/wiki/Q5498822","display_name":"Ergodic theory","level":2,"score":0.6522065997123718},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6468726992607117},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.588646411895752},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.5817127227783203},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4954427480697632},{"id":"https://openalex.org/C2778794669","wikidata":"https://www.wikidata.org/wiki/Q43054","display_name":"Neuron","level":2,"score":0.49282076954841614},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.48687735199928284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44276732206344604},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.15087950229644775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12119093537330627},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09755063056945801},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937691","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937691","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W284766540","https://openalex.org/W1963766080","https://openalex.org/W2021097782","https://openalex.org/W2034602202","https://openalex.org/W2058319502","https://openalex.org/W2069552454","https://openalex.org/W2112854909","https://openalex.org/W2116345768","https://openalex.org/W2138798701","https://openalex.org/W2147851954","https://openalex.org/W2155790994","https://openalex.org/W2163306439","https://openalex.org/W2590141846","https://openalex.org/W2758213473","https://openalex.org/W2795210532","https://openalex.org/W2803167093","https://openalex.org/W2897015494","https://openalex.org/W3006014228","https://openalex.org/W3046135350","https://openalex.org/W3151328790","https://openalex.org/W3198069251","https://openalex.org/W4300223384","https://openalex.org/W6739201545"],"related_works":["https://openalex.org/W3178259930","https://openalex.org/W1769982787","https://openalex.org/W3184949856","https://openalex.org/W3035839890","https://openalex.org/W2076468557","https://openalex.org/W2031806409","https://openalex.org/W4281997648","https://openalex.org/W4387066885","https://openalex.org/W2371090464","https://openalex.org/W3099906890"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,16,25],"novel":[4],"ergodic":[5],"cellular":[6],"automaton":[7],"neuron":[8,30,53,85],"model":[9],"and":[10,60,69],"its":[11],"network":[12,22,26,44,54,59,76,86],"is":[13,32,35,71,77],"presented.":[14,33],"Additionally,":[15],"learning":[17,39,62],"method":[18,40,63],"of":[19,27,49],"the":[20,38,42,50,57,61,74,82],"presented":[21,43,58,75],"to":[23,45,81],"mimic":[24],"biologically":[28,51,83],"plausible":[29,52,84],"models":[31],"It":[34],"shown":[36,72],"that":[37,73],"enables":[41],"reproduce":[46],"input-output":[47],"relations":[48],"model.":[55,87],"Furthermore,":[56],"are":[64],"implemented":[65],"in":[66],"an":[67],"FPGA":[68],"it":[70],"more":[78],"hardware-efficient":[79],"compared":[80]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}