{"id":"https://openalex.org/W2037272310","doi":"https://doi.org/10.1109/fpt.2013.6718420","title":"Fast simulation of Digital Spiking Silicon Neuron model employing reconfigurable dataflow computing","display_name":"Fast simulation of Digital Spiking Silicon Neuron model employing reconfigurable dataflow computing","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2037272310","doi":"https://doi.org/10.1109/fpt.2013.6718420","mag":"2037272310"},"language":"en","primary_location":{"id":"doi:10.1109/fpt.2013.6718420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpt.2013.6718420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Field-Programmable Technology (FPT)","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/A5050861972","display_name":"Xiangyu Li","orcid":"https://orcid.org/0000-0001-5116-656X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Will X. Y. Li","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong","Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, , China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004723546","display_name":"Shridhar Chaudhary","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shridhar Chaudhary","raw_affiliation_strings":["VLSI Design and Education Center, University of Tokyo","[VLSI Design & Educ. Center, Univ. of Tokyo, Tokyo, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VLSI Design and Education Center, University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"[VLSI Design & Educ. Center, Univ. of Tokyo, Tokyo, Japan]","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077847474","display_name":"Ray C. C. Cheung","orcid":"https://orcid.org/0000-0002-6764-0729"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ray C. C. Cheung","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong","Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong, , China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054079223","display_name":"Takeshi Matsumoto","orcid":"https://orcid.org/0000-0002-1517-0761"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Matsumoto","raw_affiliation_strings":["VLSI Design and Education Center, University of Tokyo","[VLSI Design & Educ. Center, Univ. of Tokyo, Tokyo, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VLSI Design and Education Center, University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"[VLSI Design & Educ. Center, Univ. of Tokyo, Tokyo, Japan]","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027837299","display_name":"Masahiro Fujita","orcid":"https://orcid.org/0000-0002-6516-4175"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Fujita","raw_affiliation_strings":["VLSI Design and Education Center, University of Tokyo","[VLSI Design & Educ. Center, Univ. of Tokyo, Tokyo, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VLSI Design and Education Center, University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"[VLSI Design & Educ. Center, Univ. of Tokyo, Tokyo, Japan]","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.24,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60901527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"478","last_page":"479"},"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":0.9994000196456909,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9979000091552734,"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/dataflow","display_name":"Dataflow","score":0.9504022002220154},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8125070333480835},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.681452751159668},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6370327472686768},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5783079266548157},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.5775560736656189},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5697516798973083},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.41217660903930664},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21595844626426697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15256312489509583}],"concepts":[{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.9504022002220154},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8125070333480835},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.681452751159668},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6370327472686768},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5783079266548157},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.5775560736656189},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5697516798973083},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.41217660903930664},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21595844626426697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15256312489509583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fpt.2013.6718420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fpt.2013.6718420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Conference on Field-Programmable Technology (FPT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2142242730","https://openalex.org/W2164653071","https://openalex.org/W3040947438","https://openalex.org/W6780169861"],"related_works":["https://openalex.org/W3031505884","https://openalex.org/W2951049725","https://openalex.org/W4285308918","https://openalex.org/W2971712727","https://openalex.org/W4387459935","https://openalex.org/W2908450434","https://openalex.org/W3193008624","https://openalex.org/W4382561696","https://openalex.org/W2581119583","https://openalex.org/W3015991694"],"abstract_inverted_index":{"A":[0],"new":[1,39],"simulation":[2,83],"scheme":[3,15,40,74],"of":[4,34,44,59,63,78,84],"the":[5,19,26,31,35,38,42,60,64,85],"Digital":[6],"Spiking":[7],"Silicon":[8],"Neuron":[9],"(DSSN)":[10],"model":[11],"is":[12,16,70,89],"proposed.":[13],"This":[14],"based":[17],"on":[18],"reconfigurable":[20,65],"dataflow":[21,54],"computing":[22,52],"paradigm":[23],"and":[24,47,67,81],"targets":[25],"Maxeler":[27],"MaxWorkstation.":[28],"Compared":[29],"to":[30,91],"previous":[32],"implementation":[33],"DSSN":[36],"network,":[37],"has":[41,75],"virtues":[43],"better":[45,48,68],"flexibility":[46],"programmability.":[49],"More":[50],"importantly,":[51],"with":[53],"cores":[55],"takes":[56],"good":[57,76],"advantage":[58],"intrinsic":[61],"parallelism":[62],"hardware":[66],"pipelining":[69],"achievable.":[71],"The":[72],"proposed":[73],"potential":[77],"conducting":[79],"large-scale":[80],"fast":[82],"DSSN-model-based":[86],"network":[87],"which":[88],"pivotal":[90],"future":[92],"neuroscience":[93],"research.":[94]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
