{"id":"https://openalex.org/W7220384820","doi":"https://doi.org/10.64898/2026.09.29.755257","title":"Spatial Sampling and Temporal Dynamics Shape Motor Decoding from Broadband Intracortical Signals","display_name":"Spatial Sampling and Temporal Dynamics Shape Motor Decoding from Broadband Intracortical Signals","publication_year":2026,"publication_date":"2026-10-05","ids":{"openalex":"https://openalex.org/W7220384820","doi":"https://doi.org/10.64898/2026.09.29.755257"},"language":"en","primary_location":{"id":"doi:10.64898/2026.09.29.755257","doi":"https://doi.org/10.64898/2026.09.29.755257","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.29.755257","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/05/2026.09.29.755257.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/05/2026.09.29.755257.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020742587","display_name":"Cong Zheng","orcid":"https://orcid.org/0000-0002-6361-3459","observed_orcids":["https://orcid.org/0000-0002-6361-3459"]},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210115644","display_name":"Chinese Institute for Brain Research","ror":"https://ror.org/029819q61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115644"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Zheng","raw_affiliation_strings":["Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 102206, China","Chinese Institute for Brain Research, Beijing 102206, China"],"raw_orcid":"https://orcid.org/0000-0002-6361-3459","affiliations":[{"raw_affiliation_string":"Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 102206, China","institution_ids":["https://openalex.org/I200296433"]},{"raw_affiliation_string":"Chinese Institute for Brain Research, Beijing 102206, China","institution_ids":["https://openalex.org/I4210115644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157440333","display_name":"Yongxiang Xiao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210115644","display_name":"Chinese Institute for Brain Research","ror":"https://ror.org/029819q61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115644"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxiang Xiao","raw_affiliation_strings":["Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 102206, China","Chinese Institute for Brain Research, Beijing 102206, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 102206, China","institution_ids":["https://openalex.org/I200296433"]},{"raw_affiliation_string":"Chinese Institute for Brain Research, Beijing 102206, China","institution_ids":["https://openalex.org/I4210115644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006306025","display_name":"He Cui","orcid":"https://orcid.org/0000-0001-6277-9804","observed_orcids":["https://orcid.org/0000-0001-6277-9804"]},"institutions":[{"id":"https://openalex.org/I200296433","display_name":"Chinese Academy of Medical Sciences & Peking Union Medical College","ror":"https://ror.org/02drdmm93","country_code":"CN","type":"education","lineage":["https://openalex.org/I200296433"]},{"id":"https://openalex.org/I4210115644","display_name":"Chinese Institute for Brain Research","ror":"https://ror.org/029819q61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115644"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Cui","raw_affiliation_strings":["Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 102206, China","Chinese Institute for Brain Research, Beijing 102206, China"],"raw_orcid":"https://orcid.org/0000-0001-6277-9804","affiliations":[{"raw_affiliation_string":"Beijing Institute for Brain Research, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 102206, China","institution_ids":["https://openalex.org/I200296433"]},{"raw_affiliation_string":"Chinese Institute for Brain Research, Beijing 102206, China","institution_ids":["https://openalex.org/I4210115644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006306025"],"corresponding_institution_ids":["https://openalex.org/I200296433","https://openalex.org/I4210115644"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T11601","display_name":"Neuroscience and Neural Engineering","score":0.7734000086784363,"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":0.7734000086784363,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.1289999932050705,"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/T10581","display_name":"Neural dynamics and brain function","score":0.040300000458955765,"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/local-field-potentials","display_name":"local field potentials","score":0.9179999828338623},{"id":"https://openalex.org/keywords/electrode-configuration","display_name":"electrode configuration","score":0.6970000267028809},{"id":"https://openalex.org/keywords/utah-array","display_name":"Utah array","score":0.6610000133514404},{"id":"https://openalex.org/keywords/channel-redundancy","display_name":"channel redundancy","score":0.6460000276565552},{"id":"https://openalex.org/keywords/nonlinear-decoding","display_name":"nonlinear decoding","score":0.48899999260902405},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8450000286102295},{"id":"https://openalex.org/keywords/gated-recurrent-unit","display_name":"gated recurrent unit","score":0.9319999814033508},{"id":"https://openalex.org/keywords/dorsal-premotor-cortex","display_name":"dorsal premotor cortex","score":0.8100000023841858},{"id":"https://openalex.org/keywords/primary-motor-cortex","display_name":"primary motor cortex","score":0.9950000047683716},{"id":"https://openalex.org/keywords/dorsolateral-prefrontal-cortex","display_name":"dorsolateral prefrontal cortex","score":0.9980000257492065},{"id":"https://openalex.org/keywords/brain-computer-interface","display_name":"brain-computer interface","score":0.8040000200271606},{"id":"https://openalex.org/keywords/rhesus-macaques","display_name":"rhesus monkeys","score":0.8019999861717224}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.8596000075340271},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.711899995803833},{"id":"https://openalex.org/C117838684","wikidata":"https://www.wikidata.org/wiki/Q533483","display_name":"Local field potential","level":2,"score":0.6730999946594238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.555400013923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4146000146865845},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.400299996137619},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.39730000495910645},{"id":"https://openalex.org/C2779534489","wikidata":"https://www.wikidata.org/wiki/Q2998090","display_name":"Premotor cortex","level":3,"score":0.3847000002861023},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3716000020503998},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C134786449","wikidata":"https://www.wikidata.org/wiki/Q3391255","display_name":"Planar","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C2778373776","wikidata":"https://www.wikidata.org/wiki/Q18696","display_name":"Motor cortex","level":3,"score":0.272599995136261},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C2780307956","wikidata":"https://www.wikidata.org/wiki/Q18707","display_name":"Primary motor cortex","level":4,"score":0.27129998803138733},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.2565999925136566}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.64898/2026.09.29.755257","doi":"https://doi.org/10.64898/2026.09.29.755257","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.29.755257","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/05/2026.09.29.755257.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.64898/2026.09.29.755257","doi":"https://doi.org/10.64898/2026.09.29.755257","is_oa":true,"landing_page_url":"https://doi.org/10.64898/2026.09.29.755257","pdf_url":"https://www.biorxiv.org/content/biorxiv/early/2026/10/05/2026.09.29.755257.full.pdf","source":{"id":"https://openalex.org/S4306402567","display_name":"bioRxiv (Cold Spring Harbor Laboratory)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2750212522","host_organization_name":"Cold Spring Harbor Laboratory","host_organization_lineage":["https://openalex.org/I2750212522"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"bioRxiv","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7220384820.pdf","grobid_xml":"https://content.openalex.org/works/W7220384820.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1904024272","https://openalex.org/W1963881761","https://openalex.org/W1966307937","https://openalex.org/W1971488363","https://openalex.org/W1978941715","https://openalex.org/W1993968723","https://openalex.org/W1995255811","https://openalex.org/W2040739363","https://openalex.org/W2060830852","https://openalex.org/W2080058042","https://openalex.org/W2125512581","https://openalex.org/W2140011966","https://openalex.org/W2151229057","https://openalex.org/W2170780622","https://openalex.org/W2346108182","https://openalex.org/W2556174952","https://openalex.org/W2559016953","https://openalex.org/W2607119016","https://openalex.org/W2755539359","https://openalex.org/W2764277968","https://openalex.org/W2809362722","https://openalex.org/W2911264159","https://openalex.org/W2978677644","https://openalex.org/W2983467498","https://openalex.org/W3018298539","https://openalex.org/W3044236731","https://openalex.org/W3047193243","https://openalex.org/W3103849663","https://openalex.org/W3144365080","https://openalex.org/W3212769229","https://openalex.org/W4291551895","https://openalex.org/W4313857802","https://openalex.org/W4389572946","https://openalex.org/W4402773028","https://openalex.org/W4409730642","https://openalex.org/W4415341502","https://openalex.org/W7154618406"],"related_works":["https://openalex.org/W7097060500","https://openalex.org/W1978997151","https://openalex.org/W2016936587","https://openalex.org/W4296808855","https://openalex.org/W2137266901","https://openalex.org/W1964491684","https://openalex.org/W2129649469","https://openalex.org/W4415341502","https://openalex.org/W2007483104","https://openalex.org/W4400779891"],"abstract_inverted_index":{"Abstract":[0],"Objective":[1],"Neural":[2,48],"decoding":[3,25,122,132,165,191,208,244],"performance":[4,133,152,166],"depends":[5],"strongly":[6,155],"on":[7,246],"neural":[8,33,220,238,279],"signal":[9],"representation;":[10],"however,":[11],"how":[12],"the":[13,32,41,53,114,125,135,143,150,158,198,218,237,248,253,257,263],"informative":[14,241],"components":[15,118,196],"of":[16,64,134,145,210,256,265],"broadband":[17],"intracortical":[18],"activity":[19],"vary":[20],"with":[21,142,167,172,205],"electrode":[22,159],"configuration":[23,251],"and":[24,60,96,108,116,123,137,180,201,222,252,269,276,283],"strategy":[26],"remains":[27],"unclear.":[28],"We":[29,87,111],"systematically":[30],"compared":[31,88],"features":[34,140,239],"spanning":[35],"multiple":[36,103],"temporal":[37,117,215,254],"scales":[38],"to":[39,120],"identify":[40],"factors":[42],"underlying":[43],"robust":[44],"motor":[45,58,93,243],"decoding.":[46,230],"Approach.":[47],"recordings":[49],"were":[50,76],"obtained":[51],"from":[52],"dorsal":[54],"premotor":[55],"cortex,":[56,59],"primary":[57],"dorsolateral":[61],"prefrontal":[62],"cortex":[63],"rhesus":[65],"monkeys":[66],"performing":[67],"delayed-reaching":[68],"tasks":[69],"toward":[70],"static":[71],"or":[72,82],"moving":[73],"targets.":[74],"Signals":[75],"recorded":[77,146,258],"using":[78,106],"64-channel":[79],"linear":[80,107,173],"S-probes":[81],"96-channel":[83],"planar":[84,168],"Utah":[85,169],"arrays.":[86],"spiking-band":[89],"power":[90,101],"(SBP),":[91],"local":[92,97],"potential":[94,99],"(LMP),":[95],"field":[98],"(LFP)":[100],"across":[102],"frequency":[104],"bands":[105],"nonlinear":[109],"decoders.":[110],"further":[112,227],"characterized":[113],"spectral":[115],"contributing":[119],"LMP":[121,151,161,190,229],"evaluated":[124],"channel":[126],"redundancy.":[127],"Main":[128],"results":[129,261],".":[130,232],"The":[131,260],"SBP":[136],"high-frequency":[138],"LFP":[139],"scaled":[141],"number":[144],"single":[147],"units,":[148],"whereas":[149],"was":[153,192],"more":[154],"influenced":[156],"by":[157,176,194],"geometry.":[160],"achieved":[162],"a":[163],"higher":[164],"arrays":[170],"than":[171],"S-probes,":[174],"accompanied":[175],"lower":[177],"inter-electrode":[178],"correlations":[179],"greater":[181],"variability":[182],"in":[183],"preferred":[184],"directions.":[185],"Spectral":[186],"analysis":[187],"showed":[188],"that":[189,236],"dominated":[193],"low-frequency":[195,266],"overlapping":[197],"delta":[199],"band":[200],"movement-related":[202],"cortical":[203],"potentials,":[204],"an":[206],"optimal":[207],"range":[209],"approximately":[211],"0.1\u20138":[212],"Hz.":[213],"Nonlinear":[214],"decoders,":[216],"particularly":[217],"convolutional":[219],"network":[221],"gated":[223],"recurrent":[224],"unit":[225],"models,":[226],"improved":[228],"Significance":[231],"These":[233],"findings":[234],"demonstrate":[235],"most":[240],"for":[242,272,281],"depend":[245],"both":[247],"spatial":[249],"sampling":[250],"structure":[255],"activity.":[259],"highlight":[262],"importance":[264],"population":[267],"dynamics":[268],"provide":[270],"principles":[271],"optimizing":[273],"neural-signal":[274],"representations":[275],"reducing":[277],"redundant":[278],"data":[280],"scalable":[282],"wireless":[284],"brain-computer":[285],"interfaces.":[286]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-10-06T00:00:00"}