{"id":"https://openalex.org/W7168276112","doi":"https://doi.org/10.48550/arxiv.2607.11445","title":"Event-based Neural Decoding for Neuroprosthetic Motor Control","display_name":"Event-based Neural Decoding for Neuroprosthetic Motor Control","publication_year":2026,"publication_date":"2026-07-13","ids":{"openalex":"https://openalex.org/W7168276112","doi":"https://doi.org/10.48550/arxiv.2607.11445"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.11445","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.11445","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.11445","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140596298","display_name":"Khaleelulla Khan Nazeer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nazeer, Khaleelulla Khan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140730597","display_name":"Sirine Arfa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arfa, Sirine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140721614","display_name":"Matthias Jobst","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jobst, Matthias","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140735856","display_name":"Richard George","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"George, Richard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140692881","display_name":"Christian Mayr","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mayr, Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.7979999780654907,"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":0.7979999780654907,"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 and Negative Capacitance Devices","score":0.041600000113248825,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.02459999918937683,"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/decoding-methods","display_name":"Decoding methods","score":0.7544000148773193},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6165000200271606},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5978000164031982},{"id":"https://openalex.org/keywords/neural-decoding","display_name":"Neural decoding","score":0.545799970626831},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.43880000710487366},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43380001187324524},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.41749998927116394},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.39800000190734863},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.3707999885082245}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7544000148773193},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7325000166893005},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6165000200271606},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5978000164031982},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.545799970626831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4966000020503998},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.43880000710487366},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43380001187324524},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.41749998927116394},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.39800000190734863},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3707999885082245},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.3601999878883362},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.34459999203681946},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C137813230","wikidata":"https://www.wikidata.org/wiki/Q2996165","display_name":"Motor control","level":2,"score":0.31130000948905945},{"id":"https://openalex.org/C168451700","wikidata":"https://www.wikidata.org/wiki/Q1306528","display_name":"Neural engineering","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C81988521","wikidata":"https://www.wikidata.org/wiki/Q676838","display_name":"Control unit","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C2984127161","wikidata":"https://www.wikidata.org/wiki/Q969316","display_name":"Neural activity","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C187782996","wikidata":"https://www.wikidata.org/wiki/Q9390548","display_name":"Neural ensemble","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2671000063419342},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C2781425072","wikidata":"https://www.wikidata.org/wiki/Q1889028","display_name":"Motor unit","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.11445","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.11445","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.11445","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.11445","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.9088062644004822,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"substantial":[1],"number":[2],"of":[3,25,30,63,133],"patients":[4],"experience":[5],"diminished":[6],"mobility":[7],"due":[8],"to":[9,50,69],"disabilities,":[10],"diseases,":[11],"or":[12],"accidents.":[13],"Although":[14],"modern":[15],"prostheses,":[16],"powered":[17],"by":[18,40],"deep":[19,90],"neural":[20,73,103,129,151],"networks,":[21],"hold":[22],"the":[23,28,61,76],"promise":[24],"significantly":[26],"enhancing":[27],"quality":[29],"life":[31],"for":[32,78,149],"these":[33,70],"individuals,":[34],"their":[35],"widespread":[36],"adoption":[37],"is":[38],"hindered":[39],"significant":[41],"latency,":[42],"energy":[43],"consumption,":[44],"and":[45,81,111,141],"spatial":[46],"requirements.":[47],"Wired":[48],"connections":[49,59],"external":[51],"high-performance":[52,102],"processors":[53],"restrict":[54],"patient":[55],"mobility,":[56],"while":[57],"wireless":[58],"limit":[60],"volume":[62],"information":[64],"that":[65,106],"can":[66],"be":[67],"transmitted":[68],"processors.":[71],"Spiking":[72],"networks":[74,130],"offer":[75],"potential":[77],"compressed":[79],"communication":[80,121],"low-power":[82],"inference,":[83,143],"yet":[84],"they":[85],"often":[86],"lag":[87],"behind":[88],"state-of-the-art":[89],"learning":[91],"models":[92],"in":[93,131],"various":[94],"applications.":[95],"In":[96],"this":[97],"study,":[98],"we":[99],"propose":[100],"a":[101,119],"decoding":[104],"method":[105,140],"effectively":[107],"balances":[108],"task":[109,134],"performance":[110],"efficiency.":[112],"An":[113],"eventbased":[114],"gated":[115],"recurrent":[116],"unit":[117],"generates":[118],"sparse":[120,142],"pattern":[122],"with":[123],"graded":[124],"spikes,":[125],"surpassing":[126],"classical":[127],"spiking":[128],"terms":[132],"performance.":[135],"Utilising":[136],"an":[137],"efficient":[138],"training":[139],"our":[144],"model":[145],"presents":[146],"new":[147],"opportunities":[148],"on-device":[150],"decoding.":[152]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-15T00:00:00"}
