{"id":"https://openalex.org/W2800439457","doi":"https://doi.org/10.1109/iscas.2018.8351476","title":"An Intrinsic Method for Fast Parameter Update on the SpiNNaker Platform","display_name":"An Intrinsic Method for Fast Parameter Update on the SpiNNaker Platform","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2800439457","doi":"https://doi.org/10.1109/iscas.2018.8351476","mag":"2800439457"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8351476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://idus.us.es/bitstream/11441/101882/1/An%20Intrinsic%20Method%20for%20Fast%20Parameter.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054836221","display_name":"Miguel Soto","orcid":null},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"M. Soto","raw_affiliation_strings":["CSIC, Univ. de Sevilla, Sevilla, Spain"],"affiliations":[{"raw_affiliation_string":"CSIC, Univ. de Sevilla, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079540787","display_name":"Teresa Serrano\u2010Gotarredona","orcid":"https://orcid.org/0000-0001-5714-2526"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"T. Serrano-Gotarredona","raw_affiliation_strings":["CSIC, Univ. de Sevilla, Sevilla, Spain"],"affiliations":[{"raw_affiliation_string":"CSIC, Univ. de Sevilla, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025922642","display_name":"B. Linares-Barranco","orcid":"https://orcid.org/0000-0002-1813-4889"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"B. Linares-Barranco","raw_affiliation_strings":["CSIC, Univ. de Sevilla, Sevilla, Spain"],"affiliations":[{"raw_affiliation_string":"CSIC, Univ. de Sevilla, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":62},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Memristive Devices for Neuromorphic 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":"Memristive Devices for Neuromorphic 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/T12808","display_name":"Ferroelectric Devices for Low-Power Nanoscale Applications","score":0.9989,"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":"Neuronal Oscillations in Cortical Networks","score":0.9971,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9151948},{"id":"https://openalex.org/keywords/spiking-neurons","display_name":"Spiking Neurons","score":0.618258},{"id":"https://openalex.org/keywords/neuromorphic-computing","display_name":"Neuromorphic Computing","score":0.600577},{"id":"https://openalex.org/keywords/brain-inspired-computing","display_name":"Brain-inspired Computing","score":0.579489},{"id":"https://openalex.org/keywords/hyperdimensional-computing","display_name":"Hyperdimensional Computing","score":0.508562},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.44974995}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9151948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81375116},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.76136315},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5810417},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.50639594},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4889754},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.44974995},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.42093986},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.4161229},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3453769},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30521986},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13108411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11249742},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"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":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2018.8351476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://idus.us.es/handle//11441/101882","pdf_url":"https://idus.us.es/bitstream/11441/101882/1/An%20Intrinsic%20Method%20for%20Fast%20Parameter.pdf","source":{"id":"https://openalex.org/S4306401665","display_name":"Deposito de Investigacion Universidad de Sevilla (University of Seville)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79238269","host_organization_name":"Universidad de Sevilla","host_organization_lineage":["https://openalex.org/I79238269"],"host_organization_lineage_names":["Universidad de Sevilla"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://idus.us.es/handle//11441/101882","pdf_url":"https://idus.us.es/bitstream/11441/101882/1/An%20Intrinsic%20Method%20for%20Fast%20Parameter.pdf","source":{"id":"https://openalex.org/S4306401665","display_name":"Deposito de Investigacion Universidad de Sevilla (University of Seville)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79238269","host_organization_name":"Universidad de Sevilla","host_organization_lineage":["https://openalex.org/I79238269"],"host_organization_lineage_names":["Universidad de Sevilla"],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.75}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1963689209","https://openalex.org/W1980178290","https://openalex.org/W2016574277","https://openalex.org/W2095725009","https://openalex.org/W2109589838","https://openalex.org/W2132870234","https://openalex.org/W2140886546","https://openalex.org/W2141840773","https://openalex.org/W2159951683","https://openalex.org/W2207801947","https://openalex.org/W2745488493"],"related_works":["https://openalex.org/W4386227293","https://openalex.org/W4372267706","https://openalex.org/W4313442939","https://openalex.org/W3160415743","https://openalex.org/W3089892344","https://openalex.org/W3081559266","https://openalex.org/W2960220682","https://openalex.org/W2885510266","https://openalex.org/W2542565870","https://openalex.org/W2012951121"],"abstract_inverted_index":{"Neuromorphic":[0],"Computing":[1],"or":[2,67,88],"Spiking":[3],"(also":[4],"called":[5],"Event-Driven)":[6],"Neural":[7],"Systems":[8],"are":[9,39],"becoming":[10],"of":[11,53,114,119,130,162,211],"high":[12],"interest":[13],"as":[14],"they":[15,189],"potentially":[16],"allow":[17],"for":[18,107,169,224],"lower":[19],"power":[20,25,71],"hardware":[21,143],"computing":[22,54,69,91,97,185,199],"platforms,":[23],"where":[24],"consumption":[26],"is":[27,72,79,99,105,133],"data":[28,41,62,78],"driven.":[29],"Traditional":[30],"approaches":[31],"(both":[32],"in":[33,36,116,123,228],"software":[34],"and":[35,207],"hardware),":[37],"which":[38,104,187],"not":[40],"driven,":[42],"rely":[43],"on":[44,60],"generic":[45],"system":[46,84,86],"state":[47],"updates,":[48],"consuming":[49],"a":[50,108,120,144,160,167,229],"fixed":[51],"amount":[52],"resources":[55],"at":[56,82],"each":[57],"step,":[58],"independent":[59],"the":[61,83,100,117,131,134,142,176,184,198,204],"itself.":[63],"In":[64],"neuromorphic":[65,95],"spiking":[66],"(event-driven)":[68],"systems":[70],"consumed":[73],"(in":[74],"principle)":[75],"if":[76,155],"new":[77],"transferred,":[80],"either":[81],"input,":[85],"output,":[87],"internally":[89],"between":[90],"nodes.":[92],"One":[93],"such":[94],"event-driven":[96],"platform":[98,132],"scalable":[101],"SpiNNaker":[102,205],"system,":[103],"aimed":[106],"million":[109],"ARM":[110],"core":[111],"platform,":[112,206],"capable":[113],"emulating":[115],"order":[118],"billion":[121],"neurons":[122,182],"real":[124],"time.":[125],"An":[126],"important":[127],"practical":[128],"drawback":[129],"long":[135],"time":[136],"it":[137],"takes":[138],"to":[139,141,151,158,196,203,217],"download":[140,197],"given":[145,192],"computational":[146],"architecture.":[147],"This":[148,194,222],"step":[149],"has":[150],"be":[152],"repeated":[153],"even":[154],"one":[156],"wants":[157],"update":[159],"set":[161],"parameters.":[163,193],"Here":[164],"we":[165],"present":[166],"method":[168],"updating":[170],"internal":[171],"parameters":[172],"without":[173],"downloading":[174],"again":[175],"full":[177],"architecture,":[178],"by":[179],"adding":[180],"special":[181],"into":[183],"architecture":[186,200],"when":[188],"spike":[190],"change":[191],"allows":[195,223],"only":[201],"once":[202],"then":[208],"take":[209],"advantage":[210],"its":[212],"highly":[213],"efficient":[214,231],"communication":[215],"network":[216],"command":[218],"specific":[219],"parameter":[220,226],"changes.":[221],"intensive":[225],"searches":[227],"more":[230],"manner.":[232]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2800439457","counts_by_year":[],"updated_date":"2024-10-09T20:03:19.860572","created_date":"2018-05-17"}
