{"id":"https://openalex.org/W1547561905","doi":"https://doi.org/10.1109/acssc.1998.750875","title":"Bayesian inference applied to the neural electromagnetic inverse problem","display_name":"Bayesian inference applied to the neural electromagnetic inverse problem","publication_year":2002,"publication_date":"2002-11-27","ids":{"openalex":"https://openalex.org/W1547561905","doi":"https://doi.org/10.1109/acssc.1998.750875","mag":"1547561905"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.1998.750875","doi":"https://doi.org/10.1109/acssc.1998.750875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.1998.750875","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"Asilomar Conference on Signals, Systems and Computers (ACSSC)","issn_l":"1058-6393","issn":["1058-6393","2576-2303"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5020594899","display_name":"David Maria Schmidt","orcid":"https://orcid.org/0000-0001-7728-2884","observed_orcids":["https://orcid.org/0000-0001-7728-2884"]},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D.M. Schmidt","raw_affiliation_strings":["Los Alamos National Laboratory, Biophysics Group, Los Alamos, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Biophysics Group, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"J.S. George","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J.S. George","raw_affiliation_strings":["Los Alamos National Laboratory, Biophysics Group, Los Alamos, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Biophysics Group, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060661851","display_name":"Chris Wood","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C.C. Wood","raw_affiliation_strings":["Los Alamos National Laboratory, Biophysics Group, Los Alamos, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Los Alamos National Laboratory, Biophysics Group, Los Alamos, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1343871089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04065041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"299","last_page":"303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.4311999976634979,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11205","display_name":"Numerical methods in inverse problems","score":0.4311999976634979,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.353300005197525,"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":0.032499998807907104,"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/bayesian-inference","display_name":"Bayesian inference","score":0.9869999885559082},{"id":"https://openalex.org/keywords/ill-posed-inverse-problems","display_name":"ill-posed inverse problems","score":0.8410000205039978},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"EEG","score":0.47099998593330383},{"id":"https://openalex.org/keywords/meg","display_name":"MEG","score":0.9049999713897705},{"id":"https://openalex.org/keywords/visual-evoked-potentials","display_name":"visual evoked potentials","score":0.7620000243186951},{"id":"https://openalex.org/keywords/visual-cortex-organization","display_name":"visual cortex organization","score":0.8259999752044678},{"id":"https://openalex.org/keywords/current-distribution-estimation","display_name":"current distribution estimation","score":0.6549999713897705}],"concepts":[{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.804837703704834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6176232099533081},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6039462089538574},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5950886011123657},{"id":"https://openalex.org/C556910895","wikidata":"https://www.wikidata.org/wiki/Q384188","display_name":"Magnetoencephalography","level":3,"score":0.5883397459983826},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5307075381278992},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5286363363265991},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.5098404288291931},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4958816468715668},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.48655930161476135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.466964989900589},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4641875624656677},{"id":"https://openalex.org/C2779345533","wikidata":"https://www.wikidata.org/wiki/Q75785","display_name":"Visual cortex","level":2,"score":0.4597705602645874},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.42297521233558655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41371840238571167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35451993346214294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32669568061828613},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.3102758526802063},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09669861197471619},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0929337739944458},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.1998.750875","doi":"https://doi.org/10.1109/acssc.1998.750875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.1998.750875","pdf_url":null,"source":{"id":"https://openalex.org/S4363608623","display_name":"Asilomar Conference on Signals, Systems and Computers (ACSSC)","issn_l":"1058-6393","issn":["1058-6393","2576-2303"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W45484352","https://openalex.org/W1530987197","https://openalex.org/W1987333243","https://openalex.org/W1990493255","https://openalex.org/W2012455269","https://openalex.org/W2017408522","https://openalex.org/W2031425398","https://openalex.org/W2037420423","https://openalex.org/W2039900864","https://openalex.org/W2045656233","https://openalex.org/W2064386872","https://openalex.org/W2065919982","https://openalex.org/W2081706768","https://openalex.org/W2084333685","https://openalex.org/W2093793583","https://openalex.org/W2099549914","https://openalex.org/W2124766968","https://openalex.org/W2152652881","https://openalex.org/W2153287244","https://openalex.org/W2155143074","https://openalex.org/W4230041738","https://openalex.org/W4232632925"],"related_works":["https://openalex.org/W2097715923","https://openalex.org/W2009805332","https://openalex.org/W1572938466","https://openalex.org/W6992848731","https://openalex.org/W1971010402","https://openalex.org/W7001083028","https://openalex.org/W202988374","https://openalex.org/W2014818218","https://openalex.org/W1536343953","https://openalex.org/W2127689643"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,80,101,107,138,145,156,162],"estimating":[3],"the":[4,8,32,45,72,92,136,139,153],"current":[5],"distribution":[6,79,90],"in":[7,31,66,132],"brain":[9],"from":[10,126],"surface":[11,102],"EEG":[12],"or":[13],"MEG":[14,124],"measurements":[15],"(the":[16],"so":[17],"called":[18],"neural":[19],"electromagnetic":[20,46],"inverse":[21,47],"problem)":[22],"is":[23],"mathematically":[24],"ill-posed;":[25],"it":[26],"has":[27],"no":[28],"unique":[29],"solution":[30,70],"most":[33],"general,":[34],"unconstrained":[35],"case.":[36],"We":[37,119,150],"have":[38],"developed":[39],"a":[40,67,77,127,160],"new":[41],"probabilistic":[42],"approach":[43,62],"to":[44,58,71,123,134,141],"problem,":[48,60],"based":[49],"on":[50],"Bayesian":[51],"inference.":[52],"Unlike":[53],"almost":[54],"all":[55,84],"other":[56],"approaches":[57],"this":[59,121],"our":[61],"does":[63],"not":[64],"result":[65],"single":[68],"\"best\"":[69],"problem.":[73],"Rather":[74],"we":[75],"estimate":[76],"probability":[78],"solutions":[81,94,109],"upon":[82],"which":[83],"subsequent":[85],"inferences":[86],"are":[87,111],"based.":[88],"This":[89],"tabulates":[91],"multiple":[93],"that":[95,110],"can":[96,114],"account":[97],"for":[98],"any":[99],"set":[100],"EEG/MEG":[103],"measurements.":[104],"Furthermore,":[105],"features":[106,144],"these":[108],"highly":[112],"probable":[113],"be":[115],"identified":[116],"and":[117],"quantified.":[118],"applied":[120],"method":[122,140],"data":[125],"visual":[128,147],"evoked":[129],"response":[130],"experiment":[131],"order":[133],"demonstrate":[135],"ability":[137],"detect":[142],"known":[143],"human":[146],"cortex":[148],"organization.":[149],"also":[151],"examined":[152],"changing":[154],"pattern":[155],"cortical":[157],"activation":[158],"as":[159],"function":[161],"time.":[163]},"counts_by_year":[],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2016-06-24T00:00:00"}