{"id":"https://openalex.org/W2101158159","doi":"https://doi.org/10.1109/jproc.2014.2306061","title":"Large-Scale Synthesis of Functional Spiking Neural Circuits","display_name":"Large-Scale Synthesis of Functional Spiking Neural Circuits","publication_year":2014,"publication_date":"2014-03-27","ids":{"openalex":"https://openalex.org/W2101158159","doi":"https://doi.org/10.1109/jproc.2014.2306061","mag":"2101158159"},"language":"en","primary_location":{"id":"doi:10.1109/jproc.2014.2306061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jproc.2014.2306061","pdf_url":null,"source":{"id":"https://openalex.org/S68686220","display_name":"Proceedings of the IEEE","issn_l":"0018-9219","issn":["0018-9219","1558-2256"],"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":"Proceedings of the IEEE","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/A5069590039","display_name":"Terrence C. Stewart","orcid":"https://orcid.org/0000-0002-1445-7613"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Terrence C. Stewart","raw_affiliation_strings":["Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON, Canada","Centre for Theor. Neurosci., Univ. of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Centre for Theor. Neurosci., Univ. of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055630059","display_name":"Chris Eliasmith","orcid":"https://orcid.org/0000-0003-2933-0209"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chris Eliasmith","raw_affiliation_strings":["Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON, Canada","Centre for Theor. Neurosci., Univ. of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Centre for Theoretical Neuroscience, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Centre for Theor. Neurosci., Univ. of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069590039"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":5.5121,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.96585291,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"102","issue":"5","first_page":"881","last_page":"898"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998000264167786,"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":0.9997000098228455,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7616915702819824},{"id":"https://openalex.org/keywords/pointer","display_name":"Pointer (user interface)","score":0.6812641024589539},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5782004594802856},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5641425848007202},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5169383883476257},{"id":"https://openalex.org/keywords/models-of-neural-computation","display_name":"Models of neural computation","score":0.5035452246665955},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.47958365082740784},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4682890772819519},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4589496850967407},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4461970627307892},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43978941440582275},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40078577399253845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3483452796936035},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16201704740524292},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15719115734100342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616915702819824},{"id":"https://openalex.org/C150202949","wikidata":"https://www.wikidata.org/wiki/Q107602","display_name":"Pointer (user interface)","level":2,"score":0.6812641024589539},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5782004594802856},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5641425848007202},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5169383883476257},{"id":"https://openalex.org/C3832189","wikidata":"https://www.wikidata.org/wiki/Q8588916","display_name":"Models of neural computation","level":3,"score":0.5035452246665955},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.47958365082740784},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4682890772819519},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4589496850967407},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4461970627307892},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43978941440582275},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40078577399253845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3483452796936035},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16201704740524292},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15719115734100342},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jproc.2014.2306061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jproc.2014.2306061","pdf_url":null,"source":{"id":"https://openalex.org/S68686220","display_name":"Proceedings of the IEEE","issn_l":"0018-9219","issn":["0018-9219","1558-2256"],"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":"Proceedings of the IEEE","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":78,"referenced_works":["https://openalex.org/W22297218","https://openalex.org/W82661287","https://openalex.org/W215825141","https://openalex.org/W574716102","https://openalex.org/W639309485","https://openalex.org/W1207829580","https://openalex.org/W1495170075","https://openalex.org/W1543613953","https://openalex.org/W1615576556","https://openalex.org/W1733248925","https://openalex.org/W1928882148","https://openalex.org/W1963079441","https://openalex.org/W1971716574","https://openalex.org/W2003465353","https://openalex.org/W2015745142","https://openalex.org/W2016708835","https://openalex.org/W2020925019","https://openalex.org/W2023342037","https://openalex.org/W2024561805","https://openalex.org/W2027600189","https://openalex.org/W2040429262","https://openalex.org/W2040598998","https://openalex.org/W2063224843","https://openalex.org/W2063379973","https://openalex.org/W2065125569","https://openalex.org/W2079600283","https://openalex.org/W2082734621","https://openalex.org/W2085376923","https://openalex.org/W2087114321","https://openalex.org/W2089327421","https://openalex.org/W2090584164","https://openalex.org/W2097167689","https://openalex.org/W2097560155","https://openalex.org/W2100495367","https://openalex.org/W2103179919","https://openalex.org/W2103452702","https://openalex.org/W2118373646","https://openalex.org/W2121845153","https://openalex.org/W2128211763","https://openalex.org/W2132042075","https://openalex.org/W2136518234","https://openalex.org/W2138061685","https://openalex.org/W2138128929","https://openalex.org/W2140124781","https://openalex.org/W2146600851","https://openalex.org/W2150439267","https://openalex.org/W2152829138","https://openalex.org/W2154832687","https://openalex.org/W2157142092","https://openalex.org/W2157789521","https://openalex.org/W2159929956","https://openalex.org/W2160079066","https://openalex.org/W2161357031","https://openalex.org/W2169090997","https://openalex.org/W2183786402","https://openalex.org/W2249276190","https://openalex.org/W2288892174","https://openalex.org/W2398014893","https://openalex.org/W2401944115","https://openalex.org/W2407968944","https://openalex.org/W2746815846","https://openalex.org/W2766751805","https://openalex.org/W2913932916","https://openalex.org/W4233030948","https://openalex.org/W4251731575","https://openalex.org/W6603362747","https://openalex.org/W6627899320","https://openalex.org/W6629630240","https://openalex.org/W6636444753","https://openalex.org/W6640977910","https://openalex.org/W6675240265","https://openalex.org/W6683334783","https://openalex.org/W6696655192","https://openalex.org/W6712574969","https://openalex.org/W6712680518","https://openalex.org/W6713743700","https://openalex.org/W6743180409","https://openalex.org/W6745460493"],"related_works":["https://openalex.org/W4242858528","https://openalex.org/W2111622281","https://openalex.org/W1715785113","https://openalex.org/W2170504222","https://openalex.org/W2246189160","https://openalex.org/W2951526363","https://openalex.org/W2053996599","https://openalex.org/W1994142864","https://openalex.org/W2125010820","https://openalex.org/W2071563491"],"abstract_inverted_index":{"In":[0],"this":[1,66,100],"paper,":[2],"we":[3,131,176],"review":[4],"the":[5,14,49,63,95,102,133,144,152,167,173,178,188,197,208,211,228],"theoretical":[6],"and":[7,58,123,147,169,190,201,210,231],"software":[8,179],"tools":[9],"used":[10,150],"to":[11,32,93,120],"construct":[12],"Spaun,":[13,159,200],"first":[15],"(and":[16],"so":[17],"far":[18],"only)":[19],"brain":[20,64,229],"model":[21,51,164],"capable":[22],"of":[23,77,81,85,129,143,192,199],"performing":[24],"cognitive":[25,59],"tasks.":[26,60],"This":[27],"tool":[28,180,220],"set":[29,221],"allowed":[30],"us":[31],"configure":[33],"2.5":[34],"million":[35],"simple":[36,78],"nonlinear":[37,122],"components":[38],"(neurons)":[39],"with":[40],"60":[41],"billion":[42],"connections":[43],"between":[44],"them":[45],"(synapses)":[46],"such":[47],"that":[48,72,110,165,235],"resulting":[50,214],"can":[52,90],"perform":[53,94],"eight":[54],"different":[55],"perceptual,":[56],"motor,":[57],"To":[61],"reverse-engineer":[62],"in":[65,151],"way,":[67],"a":[68,107,138,218],"method":[69],"is":[70,161,170,217],"needed":[71],"shows":[73],"how":[74,227],"large":[75],"numbers":[76],"components,":[79,89],"each":[80],"which":[82,160,185],"receives":[83],"thousands":[84],"inputs":[86],"from":[87],"other":[88],"be":[91],"organized":[92],"desired":[96],"computations.":[97],"We":[98,155],"achieve":[99],"through":[101],"neural":[103,193],"engineering":[104],"framework":[105],"(NEF),":[106],"mathematical":[108],"theory":[109],"provides":[111,202],"methods":[112],"for":[113,187,204,222,232],"systematically":[114],"generating":[115],"biologically":[116],"plausible":[117],"spiking":[118],"networks":[119],"implement":[121],"linear":[124],"dynamical":[125],"systems.":[126],"On":[127],"top":[128],"this,":[130],"propose":[132],"semantic":[134],"pointer":[135],"architecture":[136],"(SPA),":[137],"hypothesis":[139],"regarding":[140],"some":[141],"aspects":[142],"organization,":[145],"function,":[146],"representational":[148],"resources":[149],"mammalian":[153],"brain.":[154],"conclude":[156],"by":[157],"discussing":[158],"an":[162],"example":[163],"uses":[166],"SPA":[168],"implemented":[171],"using":[172,207,239],"NEF.":[174],"Throughout,":[175],"discuss":[177],"Neural":[181],"ENGineering":[182],"Objects":[183],"(Nengo),":[184],"allows":[186],"synthesis":[189],"simulation":[191],"models":[194,206],"efficiently":[195],"on":[196],"scale":[198],"support":[203],"constructing":[205],"NEF":[209],"SPA.":[212],"The":[213],"NEF/SPA/Nengo":[215],"combination":[216],"general":[219],"both":[223],"evaluating":[224],"hypotheses":[225],"about":[226],"works,":[230],"building":[233],"systems":[234],"compute":[236],"particular":[237],"functions":[238],"neuron-like":[240],"components.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
