{"id":"https://openalex.org/W2185878459","doi":"https://doi.org/10.1109/biocas.2015.7348397","title":"General-purpose LSM learning processor architecture and theoretically guided design space exploration","display_name":"General-purpose LSM learning processor architecture and theoretically guided design space exploration","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2185878459","doi":"https://doi.org/10.1109/biocas.2015.7348397","mag":"2185878459"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2015.7348397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2015.7348397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100390988","display_name":"Qian Wang","orcid":"https://orcid.org/0000-0003-4370-3569"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Wang","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024806967","display_name":"Yingyezhe Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingyezhe Jin","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432782","display_name":"Peng Li","orcid":"https://orcid.org/0000-0003-3548-4589"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["Texas A&M University, College Station, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":5.3529,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.97075232,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9957000017166138,"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/computer-science","display_name":"Computer science","score":0.7866026163101196},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.7730484008789062},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6651577949523926},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6380180716514587},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5601328015327454},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5366563200950623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4652610123157501},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4540579319000244},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.4448012113571167},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4373728632926941},{"id":"https://openalex.org/keywords/arm-architecture","display_name":"ARM architecture","score":0.4369880259037018},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43055135011672974},{"id":"https://openalex.org/keywords/coprocessor","display_name":"Coprocessor","score":0.4167676866054535},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.414380818605423},{"id":"https://openalex.org/keywords/instruction-set","display_name":"Instruction set","score":0.41230297088623047},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3312959372997284},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.24486786127090454},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1081882119178772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7866026163101196},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.7730484008789062},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6651577949523926},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6380180716514587},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5601328015327454},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5366563200950623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4652610123157501},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4540579319000244},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.4448012113571167},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4373728632926941},{"id":"https://openalex.org/C26771161","wikidata":"https://www.wikidata.org/wiki/Q16980","display_name":"ARM architecture","level":2,"score":0.4369880259037018},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43055135011672974},{"id":"https://openalex.org/C86111242","wikidata":"https://www.wikidata.org/wiki/Q859595","display_name":"Coprocessor","level":2,"score":0.4167676866054535},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.414380818605423},{"id":"https://openalex.org/C202491316","wikidata":"https://www.wikidata.org/wiki/Q272683","display_name":"Instruction set","level":2,"score":0.41230297088623047},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3312959372997284},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.24486786127090454},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1081882119178772},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biocas.2015.7348397","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2015.7348397","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1480485976","https://openalex.org/W1978845507","https://openalex.org/W2063695057","https://openalex.org/W2071892578","https://openalex.org/W2076015009","https://openalex.org/W2076184423","https://openalex.org/W2103179919","https://openalex.org/W2105580042","https://openalex.org/W2140042332","https://openalex.org/W2155757660","https://openalex.org/W2159281614","https://openalex.org/W2371946849","https://openalex.org/W3099280452","https://openalex.org/W3159491381","https://openalex.org/W4285719527"],"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":{"This":[0],"paper":[1],"presents":[2],"a":[3,28,44,60,73,143],"general-purpose":[4],"liquid":[5],"state":[6],"machine":[7],"based":[8],"neuromorphic":[9],"learning":[10,77,99,115],"processor":[11,135,146],"with":[12,49,66,112],"integrated":[13],"training":[14],"and":[15,31,58],"recognition":[16,21,140],"for":[17,89],"real":[18],"world":[19],"pattern":[20],"problems.":[22],"The":[23,37],"proposed":[24,118],"architecture":[25,136],"consists":[26,42],"of":[27,43,62,86,93,105,125,133],"generic":[29],"preprocessor":[30],"one":[32],"or":[33,39],"multiple":[34,94],"task":[35],"processors.":[36],"pre-processor,":[38],"the":[40,82,87,97,113,126,131],"reservoir,":[41],"recurrent":[45,127],"spiking":[46,64],"neural":[47],"network":[48],"fixed":[50],"synaptic":[51],"weights.":[52],"Task":[53],"processors":[54],"are":[55,70],"light":[56],"weight":[57],"comprise":[59],"set":[61],"readout":[63],"neurons":[65],"plastic":[67],"weights,":[68],"which":[69,108],"tuned":[71],"by":[72,137],"biologically":[74],"plausible":[75],"supervised":[76],"rule.":[78],"Importantly,":[79],"we":[80],"leverage":[81],"unique":[83],"computational":[84,106],"structure":[85],"reservoir":[88],"highly":[90],"efficient":[91],"implementation":[92],"tasks":[95,141],"on":[96],"same":[98],"processor.":[100],"A":[101],"novel":[102],"theoretical":[103],"measure":[104],"power,":[107],"is":[109,117],"strongly":[110],"correlated":[111],"true":[114],"performance,":[116],"to":[119],"facilitate":[120],"fast":[121],"design":[122],"space":[123],"exploration":[124],"reservoir.":[128],"We":[129],"demonstrate":[130],"application":[132],"our":[134],"mapping":[138],"four":[139],"onto":[142],"reconfigurable":[144],"FPGA":[145],"platform.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
