{"id":"https://openalex.org/W2129328582","doi":"https://doi.org/10.1109/ijcnn.2010.5596364","title":"The Leaky Integrate-and-Fire neuron: A platform for synaptic model exploration on the SpiNNaker chip","display_name":"The Leaky Integrate-and-Fire neuron: A platform for synaptic model exploration on the SpiNNaker chip","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2129328582","doi":"https://doi.org/10.1109/ijcnn.2010.5596364","mag":"2129328582"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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/A5015862358","display_name":"Alexander Rast","orcid":"https://orcid.org/0000-0001-9934-7191"},"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":"A. D. Rast","raw_affiliation_strings":["School of Computer Science, University of Manchester, Institute of Science and Technology, Manchester, UK","[School of Computer Science, The University of Manchester, UK]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Manchester, Institute of Science and Technology, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"[School of Computer Science, The University of Manchester, UK]","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015180981","display_name":"Francesco Galluppi","orcid":"https://orcid.org/0000-0001-8552-2999"},"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":"F. Galluppi","raw_affiliation_strings":["School of Computer Science, University of Manchester, Institute of Science and Technology, Manchester, UK","[School of Computer Science, The University of Manchester, UK]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Manchester, Institute of Science and Technology, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"[School of Computer Science, The University of Manchester, UK]","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100641350","display_name":"Xin Jin","orcid":"https://orcid.org/0000-0003-2211-2006"},"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":"X. Jin","raw_affiliation_strings":["School of Computer Science, University of Manchester, Institute of Science and Technology, Manchester, UK","[School of Computer Science, The University of Manchester, UK]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Manchester, Institute of Science and Technology, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"[School of Computer Science, The University of Manchester, UK]","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":"S.B. Furber","raw_affiliation_strings":["School of Computer Science, University of Manchester, Institute of Science and Technology, Manchester, UK","[School of Computer Science, The University of Manchester, UK]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Manchester, Institute of Science and Technology, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"[School of Computer Science, The University of Manchester, UK]","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4138,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.94731621,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9994999766349792,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7609604597091675},{"id":"https://openalex.org/keywords/winner-take-all","display_name":"Winner-take-all","score":0.564337432384491},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5522798299789429},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5360788106918335},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5176318287849426},{"id":"https://openalex.org/keywords/biological-neuron-model","display_name":"Biological neuron model","score":0.4942174255847931},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4241965115070343},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.4190393090248108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39894670248031616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10672035813331604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7609604597091675},{"id":"https://openalex.org/C168976158","wikidata":"https://www.wikidata.org/wiki/Q769931","display_name":"Winner-take-all","level":3,"score":0.564337432384491},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5522798299789429},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5360788106918335},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5176318287849426},{"id":"https://openalex.org/C186565885","wikidata":"https://www.wikidata.org/wiki/Q1651163","display_name":"Biological neuron model","level":3,"score":0.4942174255847931},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4241965115070343},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.4190393090248108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39894670248031616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10672035813331604},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/e5b28095-fae0-4ce6-8a4f-a713c88940bb","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/e5b28095-fae0-4ce6-8a4f-a713c88940bb","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Rast, A D, Galluppi, F, Jin, X & Furber, S B 2010, The Leaky Integrate-and-Fire neuron: A platform for synaptic model exploration on the SpiNNaker chip. in Proceedings of the International Joint Conference on Neural Networks|Proc Int Jt Conf Neural Networks. IEEE, USA, 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, 1/07/10. https://doi.org/10.1109/IJCNN.2010.5596364","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.673.3750","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.673.3750","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://apt.cs.manchester.ac.uk/ftp/pub/apt/papers/Auth_ADR_IJCNN10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7099999785423279,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G323116497","display_name":null,"funder_award_id":"EP/G015740/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1541090059","https://openalex.org/W1557064953","https://openalex.org/W1905319815","https://openalex.org/W1970879758","https://openalex.org/W1989177588","https://openalex.org/W2001860569","https://openalex.org/W2010601699","https://openalex.org/W2018027127","https://openalex.org/W2024168688","https://openalex.org/W2031132539","https://openalex.org/W2033289458","https://openalex.org/W2054100637","https://openalex.org/W2085213027","https://openalex.org/W2103788620","https://openalex.org/W2120451785","https://openalex.org/W2121458485","https://openalex.org/W2124311906","https://openalex.org/W2124377502","https://openalex.org/W2147101007","https://openalex.org/W2154045630","https://openalex.org/W2163094326","https://openalex.org/W2585198072","https://openalex.org/W3144728138"],"related_works":["https://openalex.org/W2023492997","https://openalex.org/W2013860114","https://openalex.org/W1504796302","https://openalex.org/W4386441857","https://openalex.org/W4385965729","https://openalex.org/W3198030868","https://openalex.org/W2906832317","https://openalex.org/W2996874253","https://openalex.org/W59408451","https://openalex.org/W2088600489"],"abstract_inverted_index":{"Large-scale":[0],"neural":[1,19,39,66,76,81,121,238,308],"hardware":[2,17,59],"systems":[3],"are":[4],"trending":[5],"increasingly":[6],"towards":[7],"the":[8,16,28,34,54,58,93,115,129,138,145,153,162,197,203,215,231,270,274],"\u201cneuromimetic\u201d":[9],"architecture:":[10],"a":[11,49,72,118,126,134,182,235,242,293,302],"general-purpose":[12,204],"platform":[13,294],"that":[14,68,240],"specialises":[15],"for":[18,52,136,245,295,305],"networks":[20],"but":[21,47],"allows":[22,150],"flexibility":[23],"in":[24,92,114,227,313],"model":[25,29,74,95,148,160,228,233,239,276,296,314],"choice.":[26,315],"Since":[27],"is":[30,43,96,105,234],"not":[31,44],"hard-wired":[32],"into":[33],"chip,":[35,122],"exploration":[36,151],"of":[37,64,75,80,90,109,112,140,152,155,164,184,199,206,254,272,278],"different":[38,110,185],"and":[40,107,177,250,277,285],"synaptic":[41,166,200,257,281],"models":[42,167,265,282],"merely":[45],"possible":[46,194,210,280],"provides":[48,241,301],"rich":[50],"field":[51],"research:":[53],"possibility":[55],"to":[56,60,71,98,144,195,213,260],"use":[57],"establish":[61],"useful":[62],"abstractions":[63],"biological":[65],"dynamics":[67,191],"could":[69],"lead":[70],"functional":[73],"computation.":[77],"Two":[78],"areas":[79],"modelling":[82,309],"stand":[83],"out":[84],"as":[85,133,292],"central:":[86],"1)":[87],"What":[88,104],"level":[89],"detail":[91],"neurodynamic":[94,216],"necessary":[97,212],"achieve":[99],"biologically":[100],"realistic":[101],"behaviour?":[102],"2)":[103],"role":[106],"effect":[108],"types":[111],"synapses":[113,171],"computation?":[116],"Using":[117],"universal":[119],"event-driven":[120],"SpiNNaker,":[123],"we":[124],"develop":[125],"simple":[127,190,264],"model,":[128],"Leaky-Integrate-and-Fire":[130],"(LIF)":[131],"neuron,":[132],"tool":[135],"exploring":[137],"second":[139],"these":[141,156],"questions,":[142],"complementary":[143],"existing":[146],"Izhikevich":[147,219],"which":[149],"first":[154],"questions.":[157],"The":[158,263],"LIF":[159,232,275],"permits":[161],"development":[163],"multiple":[165],"including":[168],"fast":[169],"AMPA/GABA-A":[170],"with":[172,218,224,247,310],"or":[173],"without":[174],"STDP":[175],"learning,":[176],"slow":[178],"NMDA":[179],"synapses,":[180],"spanning":[181],"range":[183],"dynamic":[186],"time":[187],"constants.":[188],"Its":[189],"make":[192],"it":[193,209,288],"expand":[196],"complexity":[198],"response,":[201],"while":[202],"design":[205],"SpiNNaker":[207,284],"makes":[208],"if":[211],"increase":[214],"accuracy":[217],"(or":[220],"even":[221],"Hodgkin-Huxley)":[222],"neurons":[223],"some":[225],"tradeoff":[226],"size.":[229],"Furthermore,":[230],"universally-accepted":[236],"\u201cstandard\u201d":[237],"good":[243],"basis":[244],"comparisons":[246],"software":[248],"simulations":[249],"introduces":[251],"minimal":[252],"risk":[253],"obscuring":[255],"important":[256],"effects":[258],"due":[259],"unusual":[261],"neurodynamics.":[262],"run":[266],"thus":[267],"far":[268],"demonstrate":[269],"viability":[271],"both":[273],"various":[279],"on":[283],"illustrate":[286],"how":[287],"can":[289],"be":[290],"used":[291],"exploration.":[297],"Such":[298],"an":[299],"architecture":[300],"scalable":[303],"system":[304],"high-performance":[306],"large-scale":[307],"complete":[311],"freedom":[312]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
