{"id":"https://openalex.org/W4409426349","doi":"https://doi.org/10.1109/tcsi.2025.3557535","title":"Modeling of Izhikevich Spiking Neurons With High Matching Accuracy Using Comb-Exp Functions and Its Multiplier-Free Realization","display_name":"Modeling of Izhikevich Spiking Neurons With High Matching Accuracy Using Comb-Exp Functions and Its Multiplier-Free Realization","publication_year":2025,"publication_date":"2025-04-14","ids":{"openalex":"https://openalex.org/W4409426349","doi":"https://doi.org/10.1109/tcsi.2025.3557535"},"language":"en","primary_location":{"id":"doi:10.1109/tcsi.2025.3557535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2025.3557535","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems I: Regular Papers","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/A5063705788","display_name":"Pinamala Sruthi","orcid":null},"institutions":[{"id":"https://openalex.org/I114845381","display_name":"National Institute of Technology Calicut","ror":"https://ror.org/03yyd7552","country_code":"IN","type":"education","lineage":["https://openalex.org/I114845381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. V. Sruthi","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology, Calicut (NIT Calicut), Kozhikode, Kerala, India"],"raw_orcid":"https://orcid.org/0000-0003-1950-6127","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology, Calicut (NIT Calicut), Kozhikode, Kerala, India","institution_ids":["https://openalex.org/I114845381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071621923","display_name":"T. S. Bindiya","orcid":null},"institutions":[{"id":"https://openalex.org/I114845381","display_name":"National Institute of Technology Calicut","ror":"https://ror.org/03yyd7552","country_code":"IN","type":"education","lineage":["https://openalex.org/I114845381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T. S. Bindiya","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology, Calicut (NIT Calicut), Kozhikode, Kerala, India"],"raw_orcid":"https://orcid.org/0000-0002-8406-1833","affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology, Calicut (NIT Calicut), Kozhikode, Kerala, India","institution_ids":["https://openalex.org/I114845381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114845381"],"apc_list":null,"apc_paid":null,"fwci":1.6508,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85458061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"72","issue":"10","first_page":"5736","last_page":"5747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9919000267982483,"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/T10320","display_name":"Neural Networks and Applications","score":0.9919000267982483,"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":0.9879999756813049,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9825000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.6830450296401978},{"id":"https://openalex.org/keywords/multiplier","display_name":"Multiplier (economics)","score":0.6658193469047546},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.474176287651062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45952898263931274},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4533901810646057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2717996835708618},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17401373386383057}],"concepts":[{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.6830450296401978},{"id":"https://openalex.org/C124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","level":2,"score":0.6658193469047546},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.474176287651062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45952898263931274},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4533901810646057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2717996835708618},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17401373386383057},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsi.2025.3557535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2025.3557535","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems I: Regular Papers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1576838367","https://openalex.org/W1977177901","https://openalex.org/W1985940938","https://openalex.org/W1995611942","https://openalex.org/W2004277475","https://openalex.org/W2019598563","https://openalex.org/W2025603247","https://openalex.org/W2037748403","https://openalex.org/W2045917633","https://openalex.org/W2056661320","https://openalex.org/W2076964542","https://openalex.org/W2113617205","https://openalex.org/W2128297051","https://openalex.org/W2128432504","https://openalex.org/W2144317842","https://openalex.org/W2157239334","https://openalex.org/W2163288878","https://openalex.org/W2164653071","https://openalex.org/W2890218259","https://openalex.org/W2919634026","https://openalex.org/W2921015455","https://openalex.org/W2963481123","https://openalex.org/W2969292814","https://openalex.org/W2990793844","https://openalex.org/W3014827905","https://openalex.org/W3028332918","https://openalex.org/W3086046019","https://openalex.org/W3118707936","https://openalex.org/W3130822715","https://openalex.org/W3166492115","https://openalex.org/W4205923447","https://openalex.org/W4212791872","https://openalex.org/W4226471655","https://openalex.org/W4231081240","https://openalex.org/W4318476316","https://openalex.org/W4379471878","https://openalex.org/W4385453110","https://openalex.org/W4386858125","https://openalex.org/W4387965059","https://openalex.org/W4388692307","https://openalex.org/W4390402457","https://openalex.org/W4401326785","https://openalex.org/W4407736406"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2022544890","https://openalex.org/W2394097730","https://openalex.org/W2043523297","https://openalex.org/W2475378634","https://openalex.org/W2113405914","https://openalex.org/W4312353617","https://openalex.org/W2260963831"],"abstract_inverted_index":{"In":[0,40],"the":[1,5,57,65,75,91,100,116,128,157],"realm":[2],"of":[3,88],"neuroprosthetics,":[4],"imperative":[6],"for":[7,33,47,144],"hardware-efficient,":[8],"faster":[9],"spiking":[10,14,58,120],"neuron":[11,50,121],"models,":[12,79],"reproducing":[13],"patterns":[15,59],"with":[16,69],"better":[17],"precision,":[18],"has":[19],"emerged":[20],"as":[21],"a":[22,43,70],"pivotal":[23],"necessity;":[24],"catalyzing":[25],"advancements":[26],"towards":[27],"more":[28],"compact":[29],"and":[30,60,77,82,109,150],"resource-optimal":[31],"solutions":[32],"seamless":[34],"integration":[35],"within":[36],"neural":[37],"prosthetic":[38],"systems.":[39],"this":[41],"brief,":[42],"new":[44],"digital":[45],"model":[46,54,131],"Izhikevich":[48,119],"Spiking":[49],"is":[51,132,161],"proposed.":[52],"The":[53,86],"accurately":[55],"replicates":[56],"phase":[61],"portraits":[62],"corresponding":[63],"to":[64,115,134],"neuronal":[66,139],"dynamic":[67],"behaviour":[68],"very":[71],"high":[72,80],"matching":[73],"between":[74],"original":[76],"proposed":[78,101,129,158],"speed":[81],"improved":[83],"hardware":[84,102],"efficiency.":[85],"results":[87],"synthesis":[89],"on":[90],"field":[92],"programmable":[93],"gate":[94],"array":[95],"(FPGA)":[96],"platform":[97],"demonstrate":[98,135],"that":[99],"gives":[103],"significant":[104,162],"improvements":[105],"in":[106,163],"resource":[107],"consumption":[108],"maximum":[110],"operating":[111],"frequency":[112],"when":[113],"compared":[114],"latest":[117],"existing":[118],"architectures.":[122],"A":[123],"digit":[124],"classification":[125],"system":[126],"using":[127,156],"SNN":[130],"implemented":[133],"its":[136],"applicability.":[137],"Polychronous":[138],"groups,":[140],"which":[141,160],"are":[142,153],"ideal":[143],"signal-processing":[145],"tasks":[146],"like":[147],"language":[148],"learning":[149],"object":[151],"recognition,":[152],"also":[154],"simulated":[155],"model,":[159],"neuroprosthetic":[164],"applications.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
