{"id":"https://openalex.org/W4411725225","doi":"https://doi.org/10.1109/iscas56072.2025.11043277","title":"Architectural Exploration of Hybrid Neural Decoders for Neuromorphic Implantable BMI","display_name":"Architectural Exploration of Hybrid Neural Decoders for Neuromorphic Implantable BMI","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411725225","doi":"https://doi.org/10.1109/iscas56072.2025.11043277"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5104083598","display_name":"Vivek Mohan","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Vivek Mohan","raw_affiliation_strings":["Imperial College London"],"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114141030","display_name":"Biyan Zhou","orcid":null},"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":"Biyan Zhou","raw_affiliation_strings":["City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024665361","display_name":"Zhou Wang","orcid":"https://orcid.org/0000-0001-8526-5136"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhou Wang","raw_affiliation_strings":["Imperial College London"],"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027222571","display_name":"Anil A. Bharath","orcid":"https://orcid.org/0000-0001-8808-2714"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anil Bharath","raw_affiliation_strings":["Imperial College London"],"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061192370","display_name":"Emmanuel M. Drakakis","orcid":"https://orcid.org/0000-0001-6649-0573"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Emmanuel Drakakis","raw_affiliation_strings":["Imperial College London"],"affiliations":[{"raw_affiliation_string":"Imperial College London","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002380437","display_name":"Arindam Basu","orcid":"https://orcid.org/0000-0003-1035-8770"},"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":"Arindam Basu","raw_affiliation_strings":["City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5104083598"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19650037,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.991599977016449,"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"}},"topics":[{"id":"https://openalex.org/T11601","display_name":"Neuroscience and Neural Engineering","score":0.991599977016449,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9721999764442444,"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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.9510999917984009,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8964166641235352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6615565419197083},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.6357815265655518},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4418051838874817},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32758575677871704}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8964166641235352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6615565419197083},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.6357815265655518},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4418051838874817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32758575677871704}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2016574277","https://openalex.org/W2114004602","https://openalex.org/W2144910141","https://openalex.org/W2166422604","https://openalex.org/W2169139030","https://openalex.org/W2176749394","https://openalex.org/W2185491959","https://openalex.org/W2547253629","https://openalex.org/W2749476078","https://openalex.org/W2783525259","https://openalex.org/W2903987466","https://openalex.org/W2963447043","https://openalex.org/W2978461629","https://openalex.org/W3025482455","https://openalex.org/W3047193243","https://openalex.org/W3089814765","https://openalex.org/W3126124476","https://openalex.org/W3132592320","https://openalex.org/W3161343553","https://openalex.org/W3201870057","https://openalex.org/W3211307130","https://openalex.org/W4292257940","https://openalex.org/W4294690872","https://openalex.org/W4309074622","https://openalex.org/W4385080047","https://openalex.org/W4386091044","https://openalex.org/W4392904596","https://openalex.org/W4400230361","https://openalex.org/W4401758528","https://openalex.org/W4406716866","https://openalex.org/W6675889371","https://openalex.org/W6852040001","https://openalex.org/W6859944486"],"related_works":["https://openalex.org/W4396891704","https://openalex.org/W2951049725","https://openalex.org/W4285308918","https://openalex.org/W4387459935","https://openalex.org/W3015991694","https://openalex.org/W2908450434","https://openalex.org/W3193008624","https://openalex.org/W4382561696","https://openalex.org/W2581119583","https://openalex.org/W2895519962"],"abstract_inverted_index":{"This":[0,117],"work":[1],"presents":[2],"an":[3,19,111],"efficient":[4],"decoding":[5,47,58],"pipeline":[6,55],"for":[7,46,75,129],"neuromorphic":[8],"implantable":[9],"brain-machine":[10],"interfaces":[11],"(Neu-iBMI),":[12],"leveraging":[13],"sparse":[14],"neural":[15,21],"event":[16,28],"data":[17],"from":[18],"event-based":[20],"sensing":[22],"scheme.":[23],"We":[24],"introduce":[25],"a":[26,35],"tunable":[27],"filter":[29],"(EvFilter),":[30],"which":[31],"also":[32],"functions":[33],"as":[34],"spike":[36,78],"detector":[37],"(EvFilter-SPD),":[38],"significantly":[39,120],"reducing":[40],"the":[41,73,105],"number":[42],"of":[43],"events":[44],"processed":[45],"by":[48,95],"192\u00d7":[49],"and":[50,69,92,102,123],"554\u00d7,":[51],"respectively.":[52],"The":[53,88],"proposed":[54],"achieves":[56],"high":[57],"performance,":[59],"up":[60],"to":[61,100,110],"R<sup":[62],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[63],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[64],"=":[65],"0.73,":[66],"with":[67],"ANN-":[68],"SNN-based":[70],"decoders,":[71],"eliminating":[72],"need":[74],"signal":[76],"recovery,":[77],"detection,":[79],"or":[80,132],"sorting,":[81],"commonly":[82],"performed":[83],"in":[84],"conventional":[85],"iBMI":[86],"systems.":[87],"SNN-Decoder":[89],"reduces":[90,121],"computations":[91],"memory":[93,124],"required":[94],"5":[96],"\u2212":[97],"23\u00d7":[98],"compared":[99],"NN-,":[101],"LSTM-Decoders,":[103],"while":[104],"ST-NN-Decoder":[106],"delivers":[107],"similar":[108],"performance":[109],"LSTM-Decoder":[112],"requiring":[113],"2.5\u00d7":[114],"fewer":[115],"resources.":[116],"streamlined":[118],"approach":[119],"computational":[122],"demands,":[125],"making":[126],"it":[127],"ideal":[128],"low-power,":[130],"on-implant,":[131],"wearable":[133],"iBMIs.":[134]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
