{"id":"https://openalex.org/W2791351622","doi":"https://doi.org/10.1109/embc.2018.8512274","title":"Near Perfect Neural Critic from Motor Cortical Activity Toward an Autonomously Updating Brain Machine Interface","display_name":"Near Perfect Neural Critic from Motor Cortical Activity Toward an Autonomously Updating Brain Machine Interface","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2791351622","doi":"https://doi.org/10.1109/embc.2018.8512274","mag":"2791351622","pmid":"https://pubmed.ncbi.nlm.nih.gov/30440344"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8512274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Junmo An","orcid":null},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Junmo An","raw_affiliation_strings":["University of Houston, Houston, TX, US"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, US","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022636001","display_name":"Taruna Yadav","orcid":"https://orcid.org/0000-0002-2347-0537"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taruna Yadav","raw_affiliation_strings":["University of Houston, Houston, TX, US"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, US","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021224274","display_name":"Mohammad Badri Ahmadi","orcid":"https://orcid.org/0000-0002-0565-5693"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Badri Ahmadi","raw_affiliation_strings":["University of Houston, Houston, TX, US"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, US","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078356045","display_name":"Venkata S Aditya Tarigoppula","orcid":"https://orcid.org/0000-0002-8289-9165"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkata S Aditya Tarigoppula","raw_affiliation_strings":["University of Houston, Houston, TX, US"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, US","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043072052","display_name":"Joseph T. Francis","orcid":"https://orcid.org/0000-0002-2874-0452"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph Thachil Francis","raw_affiliation_strings":["University of Houston, Houston, TX, US"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, US","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":1.9055,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.84807582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2018","issue":null,"first_page":"73","last_page":"76"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.9995999932289124,"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":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/local-field-potential","display_name":"Local field potential","score":0.8140233755111694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7144185304641724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5523406863212585},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.549934983253479},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5414223074913025},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5324094891548157},{"id":"https://openalex.org/keywords/neural-decoding","display_name":"Neural decoding","score":0.5032936930656433},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46498697996139526},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4520667493343353},{"id":"https://openalex.org/keywords/cued-speech","display_name":"Cued speech","score":0.45159292221069336},{"id":"https://openalex.org/keywords/neural-activity","display_name":"Neural activity","score":0.42762547731399536},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4113249182701111},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32367879152297974},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.3157465159893036},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.21588042378425598},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12359929084777832},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09699219465255737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07648378610610962}],"concepts":[{"id":"https://openalex.org/C117838684","wikidata":"https://www.wikidata.org/wiki/Q533483","display_name":"Local field potential","level":2,"score":0.8140233755111694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7144185304641724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5523406863212585},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.549934983253479},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5414223074913025},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5324094891548157},{"id":"https://openalex.org/C40743351","wikidata":"https://www.wikidata.org/wiki/Q7002049","display_name":"Neural decoding","level":3,"score":0.5032936930656433},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46498697996139526},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4520667493343353},{"id":"https://openalex.org/C83195618","wikidata":"https://www.wikidata.org/wiki/Q590951","display_name":"Cued speech","level":2,"score":0.45159292221069336},{"id":"https://openalex.org/C2984127161","wikidata":"https://www.wikidata.org/wiki/Q969316","display_name":"Neural activity","level":2,"score":0.42762547731399536},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4113249182701111},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32367879152297974},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3157465159893036},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.21588042378425598},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12359929084777832},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09699219465255737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07648378610610962},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009044","descriptor_name":"Motor Cortex","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009044","descriptor_name":"Motor Cortex","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009044","descriptor_name":"Motor Cortex","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012054","descriptor_name":"Reinforcement, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012054","descriptor_name":"Reinforcement, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012054","descriptor_name":"Reinforcement, Psychology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062207","descriptor_name":"Brain-Computer Interfaces","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2018.8512274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512274","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30440344","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30440344","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1507466738","https://openalex.org/W1993958494","https://openalex.org/W2052471657","https://openalex.org/W2056196167","https://openalex.org/W2087704839","https://openalex.org/W2090911390","https://openalex.org/W2103494817","https://openalex.org/W2106822551","https://openalex.org/W2116532829","https://openalex.org/W2118600164","https://openalex.org/W2125737923","https://openalex.org/W2152825437","https://openalex.org/W2165416206","https://openalex.org/W2166422604","https://openalex.org/W2170814877","https://openalex.org/W2187089797","https://openalex.org/W2533553985","https://openalex.org/W2884745705","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2556174952","https://openalex.org/W3082351573","https://openalex.org/W2170780622","https://openalex.org/W2951851023","https://openalex.org/W1521110636","https://openalex.org/W1972122710","https://openalex.org/W2016936587","https://openalex.org/W2912510853","https://openalex.org/W2040821740","https://openalex.org/W2993273994"],"abstract_inverted_index":{"We":[0,141],"are":[1],"developing":[2],"an":[3,41],"autonomously":[4,180],"updating":[5,181],"brain":[6],"machine":[7],"interface":[8],"(BMI)":[9],"utilizing":[10],"reinforcement":[11],"learning":[12],"principles.":[13],"One":[14],"aspect":[15],"of":[16,53,110,120,146],"this":[17],"system":[18],"is":[19,32],"a":[20,37,54,94,111],"neural":[21,28,55,71],"critic":[22,31,56],"that":[23,143],"determines":[24],"reward":[25,60,108],"expectations":[26],"from":[27,44,64,73],"activity.":[29],"This":[30],"then":[33],"used":[34,135],"to":[35,57,86,138],"update":[36],"BMI":[38],"decoder":[39],"toward":[40,178],"improved":[42],"performance":[43,153],"the":[45,51,65,107,121,170],"user's":[46],"perspective.":[47],"Here":[48],"we":[49,172],"demonstrate":[50],"ability":[52],"classify":[58],"trial":[59],"value":[61,109],"given":[62],"activity":[63],"primary":[66],"motor":[67],"cortex":[68],"(M1),":[69],"using":[70],"features":[72,145,177],"single/multi":[74],"units":[75],"(SU/MU),":[76],"and":[77,123,129,134,148,165],"local":[78],"field":[79],"potentials":[80],"(LFPs)":[81],"with":[82],"prediction":[83],"accuracies":[84],"up":[85],"97%":[87,166],"correct.":[88],"A":[89],"nonhuman":[90],"primate":[91],"subject":[92],"conducted":[93],"cued":[95],"center":[96],"out":[97],"reaching":[98],"task,":[99],"either":[100],"manually,":[101],"or":[102,156],"observationally.":[103],"The":[104],"cue":[105],"indicated":[106],"trial.":[112],"Features":[113],"such":[114],"as":[115,136],"power":[116],"spectral":[117],"density":[118],"(PSD)":[119],"LFPs":[122,131],"spike-field":[124],"coherence":[125],"(SFC)":[126],"between":[127],"SU/MU":[128],"corresponding":[130],"were":[132],"calculated":[133],"inputs":[137],"several":[139],"classifiers.":[140],"conclude":[142],"hybrid":[144,176],"PSD":[147,155],"SFC":[149,157],"show":[150],"higher":[151],"classification":[152],"than":[154],"alone":[158],"(accuracy":[159],"was":[160],"92%":[161],"for":[162,167],"manual":[163],"tasks,":[164],"observational).":[168],"In":[169],"future,":[171],"will":[173],"employ":[174],"these":[175],"our":[179],"BMI.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}