{"id":"https://openalex.org/W3198030868","doi":"https://doi.org/10.1145/3477145.3477146","title":"Towards Biologically-Plausible Neuron Models and Firing Rates in High-Performance Deep Spiking Neural Networks","display_name":"Towards Biologically-Plausible Neuron Models and Firing Rates in High-Performance Deep Spiking Neural Networks","publication_year":2021,"publication_date":"2021-07-27","ids":{"openalex":"https://openalex.org/W3198030868","doi":"https://doi.org/10.1145/3477145.3477146","mag":"3198030868"},"language":"en","primary_location":{"id":"doi:10.1145/3477145.3477146","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477145.3477146","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477145.3477146","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Neuromorphic Systems 2021","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3477145.3477146","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100369897","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-9806-7128"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["University of Manchester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manchester","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083177159","display_name":"Steve Furber","orcid":"https://orcid.org/0000-0002-6524-3367"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steve Furber","raw_affiliation_strings":["University of Manchester"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manchester","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28407311"],"apc_list":null,"apc_paid":null,"fwci":0.407,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48952917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9991000294685364,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9965000152587891,"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/spiking-neural-network","display_name":"Spiking neural network","score":0.9152485728263855},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7956712245941162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7775900959968567},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.619961678981781},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.583079993724823},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.5811477899551392},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5415400266647339},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.42202630639076233},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36822688579559326}],"concepts":[{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.9152485728263855},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7956712245941162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775900959968567},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.619961678981781},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.583079993724823},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.5811477899551392},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5415400266647339},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.42202630639076233},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36822688579559326},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3477145.3477146","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477145.3477146","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477145.3477146","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Neuromorphic Systems 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/fd924285-49fe-431e-a70c-543979c24447","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/fd924285-49fe-431e-a70c-543979c24447","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Furber, S & Li, C 2021, Towards Biologically-Plausible Neuron Models and Firing Rates in High-Performance Deep Spiking Neural Networks. in Proc. Intl Conf on Neuromorphic Systems (ICONS) 2021. Association for Computing Machinery, pp. 1-7. https://doi.org/10.1145/3477145.3477146","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3477145.3477146","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477145.3477146","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477145.3477146","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Neuromorphic Systems 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4530127105","display_name":null,"funder_award_id":"945539","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3198030868.pdf","grobid_xml":"https://content.openalex.org/works/W3198030868.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1645800954","https://openalex.org/W1973613062","https://openalex.org/W2020676607","https://openalex.org/W2054294787","https://openalex.org/W2112796928","https://openalex.org/W2159951683","https://openalex.org/W2616274621","https://openalex.org/W3035644810"],"related_works":["https://openalex.org/W3089892344","https://openalex.org/W2960220682","https://openalex.org/W4313442939","https://openalex.org/W4386227293","https://openalex.org/W4372267706","https://openalex.org/W2885510266","https://openalex.org/W4288055417","https://openalex.org/W4205804651","https://openalex.org/W4287758233","https://openalex.org/W3136467750"],"abstract_inverted_index":{"Spiking":[0],"neural":[1,17,152],"networks":[2,18],"(SNNs)":[3],"have":[4],"the":[5,9,30,35,59,68,76,82,87,91,112,151,169,175,179],"potential":[6],"to":[7,40,100,117,136,144,168],"reach":[8,81],"same":[10,83],"accuracy":[11,84],"level":[12,85],"as":[13,86],"their":[14],"counterpart":[15],"artificial":[16],"(ANNs)":[19],"through":[20],"ANN-to-SNN":[21],"conversion.":[22],"However,":[23],"this":[24],"relies":[25],"significantly":[26],"on":[27],"artificially":[28,92],"modifying":[29],"voltage":[31],"reset":[32],"mechanism":[33],"in":[34,119,127,157],"Integrate-and-Fire":[36],"(IF)":[37],"neuron":[38,114],"model":[39,78],"support":[41],"bias":[42],"and":[43,132,141,183],"batch":[44],"normalization.":[45],"This":[46,125],"paper":[47],"shows":[48],"that":[49,111,163],"our":[50],"proposed":[51],"MCR-Norm":[52],"(minimum":[53],"chain":[54],"rule":[55],"normalization)":[56],"can":[57,79,184],"enable":[58],"modeling":[60],"of":[61,171],"these":[62],"two":[63],"key":[64],"elements":[65],"by":[66,75,90,178],"using":[67],"standard":[69,180],"IF":[70,77,94,113,181],"model.":[71,95],"The":[72],"SNNs":[73,88,103,176],"built":[74,89,177],"thus":[80],"modified":[93],"While":[96],"previous":[97],"approaches":[98],"tended":[99],"push":[101],"deep":[102],"towards":[104],"very":[105],"high":[106],"firing":[107,122],"rates,":[108],"we":[109,161],"found":[110],"is":[115,126,133,155,165],"suitable":[116],"run":[118],"a":[120],"low":[121],"rate":[123],"range.":[124],"line":[128],"with":[129],"biological":[130],"observations":[131],"also":[134],"crucial":[135],"go":[137],"beyond":[138],"SNN":[139],"simulation":[140],"apply":[142],"it":[143,164],"real":[145],"neuromorphic":[146],"hardware.":[147],"In":[148],"addition,":[149],"tuning":[150],"network":[153],"inputs":[154],"dismissed":[156],"earlier":[158],"work,":[159],"but":[160],"claim":[162],"closely":[166],"related":[167],"success":[170],"parameter":[172],"normalization":[173],"inside":[174],"model,":[182],"be":[185],"integrated":[186],"naturally":[187],"into":[188],"MCR-Norm.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}