{"id":"https://openalex.org/W2089281548","doi":"https://doi.org/10.1109/embc.2012.6346896","title":"Identification of nonlinear fMRI models using Auxiliary Particle Filter and kernel smoothing method","display_name":"Identification of nonlinear fMRI models using Auxiliary Particle Filter and kernel smoothing method","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2089281548","doi":"https://doi.org/10.1109/embc.2012.6346896","mag":"2089281548","pmid":"https://pubmed.ncbi.nlm.nih.gov/23366857"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2012.6346896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2012.6346896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","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":"https://openalex.org/A5088507795","display_name":"Imali Hettiarachchi","orcid":"https://orcid.org/0000-0002-4220-0970"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"I. T. Hettiarachchi","raw_affiliation_strings":["Centre for Intelligent Systems research, Deakin University, Australia. ith@ deakin.edu.au","Centre for Intelligent Systems Research, Deakin University, , Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Systems research, Deakin University, Australia. ith@ deakin.edu.au","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Centre for Intelligent Systems Research, Deakin University, , Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011193438","display_name":"Shady Mohamed","orcid":"https://orcid.org/0000-0002-8851-1635"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"S. Mohamed","raw_affiliation_strings":["Centre for Intelligent Systems research, Deakin University, Australia","Centre for Intelligent Systems Research, Deakin University, , Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Systems research, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Centre for Intelligent Systems Research, Deakin University, , Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057133494","display_name":"Saeid Nahavandi","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"S. Nahavandi","raw_affiliation_strings":["Centre for Intelligent Systems research, Deakin University, Australia","Centre for Intelligent Systems Research, Deakin University, , Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Intelligent Systems research, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Centre for Intelligent Systems Research, Deakin University, , Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088507795"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":0.884,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80249146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"2012","issue":null,"first_page":"4212","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6889190673828125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6740982532501221},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6529350280761719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6404961943626404},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.5567954778671265},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5320060849189758},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.5008485317230225},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.49543297290802},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4627068042755127},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.4601621627807617},{"id":"https://openalex.org/keywords/kernel-smoother","display_name":"Kernel smoother","score":0.41408973932266235},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4135550856590271},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.3854770064353943},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37152934074401855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27396708726882935},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.22700580954551697},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.18515586853027344},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.11066800355911255},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.09830033779144287},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08232852816581726}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6889190673828125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6740982532501221},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6529350280761719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6404961943626404},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.5567954778671265},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5320060849189758},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5008485317230225},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.49543297290802},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4627068042755127},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.4601621627807617},{"id":"https://openalex.org/C27406209","wikidata":"https://www.wikidata.org/wiki/Q6394203","display_name":"Kernel smoother","level":5,"score":0.41408973932266235},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4135550856590271},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.3854770064353943},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37152934074401855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27396708726882935},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.22700580954551697},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.18515586853027344},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.11066800355911255},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.09830033779144287},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08232852816581726},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D010101","descriptor_name":"Oxygen Consumption","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D010101","descriptor_name":"Oxygen Consumption","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D010101","descriptor_name":"Oxygen Consumption","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2012.6346896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2012.6346896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:23366857","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23366857","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},{"id":"pmh:oai:dro.deakin.edu.au:DU:30050978","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402457","display_name":"Deakin Research Online (Deakin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1483307070","https://openalex.org/W1999759389","https://openalex.org/W2003035294","https://openalex.org/W2037805683","https://openalex.org/W2092658543","https://openalex.org/W2098613108","https://openalex.org/W2117663940","https://openalex.org/W2123526233","https://openalex.org/W2123586737","https://openalex.org/W2124379691","https://openalex.org/W2130982683","https://openalex.org/W2131598171","https://openalex.org/W2149153247","https://openalex.org/W2158304243","https://openalex.org/W2160337655","https://openalex.org/W2165609874","https://openalex.org/W2801133941","https://openalex.org/W4244486013","https://openalex.org/W6683285222"],"related_works":["https://openalex.org/W2382704364","https://openalex.org/W2420851703","https://openalex.org/W2129102061","https://openalex.org/W2351222813","https://openalex.org/W2353199197","https://openalex.org/W2098028537","https://openalex.org/W4311472972","https://openalex.org/W4306800962","https://openalex.org/W2011212036","https://openalex.org/W2974741803"],"abstract_inverted_index":{"Hemodynamic":[0],"models":[1],"have":[2],"a":[3,46,65,72,86,95,107],"high":[4],"potential":[5],"in":[6],"application":[7],"to":[8,22,25,63,111],"understanding":[9],"the":[10,14,57,90],"functional":[11,27],"differences":[12],"of":[13,42,56,78,89],"brain.":[15],"However,":[16],"full":[17],"system":[18],"identification":[19],"with":[20,106],"respect":[21],"model":[23,53],"fitting":[24],"actual":[26],"magnetic":[28],"resonance":[29],"imaging":[30],"(fMRI)":[31],"data":[32],"is":[33,37,62,82],"practically":[34],"difficult":[35],"and":[36,68],"still":[38],"an":[39,101],"active":[40],"area":[41],"research.":[43],"We":[44,99],"present":[45],"simulation":[47],"based":[48,54],"Bayesian":[49,80],"approach":[50,110],"for":[51],"nonlinear":[52],"analysis":[55],"fMRI":[58],"data.":[59],"The":[60],"idea":[61],"do":[64],"joint":[66,114],"state":[67],"parameter":[69],"estimation":[70,115],"within":[71],"general":[73],"filtering":[74],"framework.":[75],"One":[76],"advantage":[77],"using":[79],"methods":[81],"that":[83],"they":[84],"provide":[85],"complete":[87],"description":[88],"posterior":[91],"distribution,":[92],"not":[93],"just":[94],"single":[96],"point":[97],"estimate.":[98],"use":[100],"Auxiliary":[102],"Particle":[103],"Filter":[104],"adjoined":[105],"kernel":[108],"smoothing":[109],"address":[112],"this":[113],"problem.":[116]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
