{"id":"https://openalex.org/W2945780860","doi":"https://doi.org/10.1109/ner.2019.8716895","title":"Decoding Velocity from Spikes Using a New Architecture of Recurrent Neural Network","display_name":"Decoding Velocity from Spikes Using a New Architecture of Recurrent Neural Network","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2945780860","doi":"https://doi.org/10.1109/ner.2019.8716895","mag":"2945780860"},"language":"en","primary_location":{"id":"doi:10.1109/ner.2019.8716895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ner.2019.8716895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","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/A5064265803","display_name":"Xingchen Ran","orcid":"https://orcid.org/0000-0002-3868-0713"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xingchen Ran","raw_affiliation_strings":["Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009996306","display_name":"Shaomin Zhang","orcid":"https://orcid.org/0000-0001-6311-5946"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I4210108438","display_name":"Zhejiang Academy of Social Sciences","ror":"https://ror.org/01wrf3k61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210108438"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaomin Zhang","raw_affiliation_strings":["Qiushi Academy for Advanced Studies of Zhejiang University, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Qiushi Academy for Advanced Studies of Zhejiang University, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I4210108438","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011802620","display_name":"Guanghao Sun","orcid":"https://orcid.org/0000-0002-7615-1732"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghao Sun","raw_affiliation_strings":["Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624150","display_name":"Junming Zhu","orcid":"https://orcid.org/0000-0002-2781-3306"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junming Zhu","raw_affiliation_strings":["Zhejiang Provincial Key Lab. of Cardio-Cerebral Vascular Detection Technol. & Medicinal Effectiveness Appraisal, Qiushi Acad. for Adv. Studies of Zhejiang Univ., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Provincial Key Lab. of Cardio-Cerebral Vascular Detection Technol. & Medicinal Effectiveness Appraisal, Qiushi Acad. for Adv. Studies of Zhejiang Univ., Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100357392","display_name":"Weidong Chen","orcid":"https://orcid.org/0000-0003-2774-2875"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weidong Chen","raw_affiliation_strings":["Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084291326","display_name":"Gang Pan","orcid":"https://orcid.org/0000-0002-4049-6181"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Pan","raw_affiliation_strings":["Zhejiang Provincial Key Lab. of Cardio-Cerebral Vascular Detection Technol. & Medicinal Effectiveness Appraisal, Qiushi Acad. for Adv. Studies of Zhejiang Univ., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Provincial Key Lab. of Cardio-Cerebral Vascular Detection Technol. & Medicinal Effectiveness Appraisal, Qiushi Acad. for Adv. Studies of Zhejiang Univ., Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064265803"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.2432,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52688023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"231","last_page":"234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"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":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/computer-science","display_name":"Computer science","score":0.7853034734725952},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.7798514366149902},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7597163319587708},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.6097681522369385},{"id":"https://openalex.org/keywords/neural-decoding","display_name":"Neural decoding","score":0.555442750453949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49989843368530273},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4627784192562103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3235406279563904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19376727938652039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853034734725952},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7798514366149902},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7597163319587708},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6097681522369385},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.555442750453949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49989843368530273},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4627784192562103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3235406279563904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19376727938652039},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ner.2019.8716895","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ner.2019.8716895","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)","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":17,"referenced_works":["https://openalex.org/W71081281","https://openalex.org/W1408639475","https://openalex.org/W1996227544","https://openalex.org/W2009664245","https://openalex.org/W2018255768","https://openalex.org/W2019800929","https://openalex.org/W2118082864","https://openalex.org/W2127252652","https://openalex.org/W2141232246","https://openalex.org/W2142536013","https://openalex.org/W2516121528","https://openalex.org/W2577959356","https://openalex.org/W2594082856","https://openalex.org/W2770037632","https://openalex.org/W2885073002","https://openalex.org/W6628131027","https://openalex.org/W6746083219"],"related_works":["https://openalex.org/W2098373948","https://openalex.org/W1534867933","https://openalex.org/W2587713090","https://openalex.org/W2963141266","https://openalex.org/W2896393657","https://openalex.org/W2090610152","https://openalex.org/W2744712844","https://openalex.org/W4310719664","https://openalex.org/W2742276804","https://openalex.org/W4360952157"],"abstract_inverted_index":{"Motor":[0],"brain-machine":[1],"interfaces":[2],"(BMIs)":[3],"usually":[4],"collect":[5],"neuronal":[6],"activity":[7],"from":[8],"the":[9,20,42,67,78,84,88,109,112],"dorsal":[10],"premotor":[11],"cortex":[12,17],"(PMd)":[13],"and":[14,26,36,72,87,126,131,140,150],"primary":[15],"motor":[16],"(M1).":[18],"As":[19],"pattern":[21],"of":[22,54,80,90,111,120],"interconnections":[23,43],"between":[24,44,70],"PMd":[25,35,71],"M1":[27,37,73],"is":[28],"complex,":[29],"current":[30],"BMI":[31,162],"decoders":[32],"directly":[33],"decode":[34],"neural":[38,56],"signals":[39],"without":[40],"considering":[41],"these":[45],"cortical":[46],"areas.":[47],"In":[48],"this":[49],"paper,":[50],"a":[51,91,95,160],"new":[52],"architecture":[53],"recurrent":[55],"network":[57],"(Double":[58],"Recurrent":[59],"Neural":[60],"Network,":[61],"DRNN)":[62],"was":[63],"proposed,":[64],"which":[65],"took":[66],"interconnection":[68],"information":[69],"into":[74],"account.":[75],"To":[76],"evaluate":[77],"performance":[79],"DRNN,":[81],"we":[82],"recorded":[83],"spike":[85],"data":[86],"position":[89],"robotic":[92,100,113],"arm":[93,101],"when":[94],"rhesus":[96],"monkey":[97],"performed":[98],"one-dimensional":[99],"reach":[102],"task.":[103],"When":[104],"DRNN":[105,136,157],"decoder":[106],"offline":[107],"decoded":[108],"velocity":[110,142],"arm,":[114],"it":[115],"showed":[116],"high":[117],"decoding":[118,148,163],"accuracy":[119,149],"0.92":[121],"\u00b1":[122],"0.04":[123],"(correlation":[124],"coefficient)":[125],"strong":[127],"robustness":[128],"to":[129],"noise":[130],"recording":[132],"conditions":[133],"change.":[134],"The":[135],"outperformed":[137],"basic":[138],"RNN":[139],"state-of-the-art":[141],"Kalman":[143],"filter":[144],"(VKF)":[145],"in":[146],"both":[147],"robustness.":[151],"It":[152],"suggested":[153],"that":[154],"our":[155],"proposed":[156],"could":[158],"be":[159],"promising":[161],"algorithm.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}