{"id":"https://openalex.org/W2107757737","doi":"https://doi.org/10.1109/ijcnn.2004.1381114","title":"Classifying cognitive states from fMRI data using neural networks","display_name":"Classifying cognitive states from fMRI data using neural networks","publication_year":2005,"publication_date":"2005-03-21","ids":{"openalex":"https://openalex.org/W2107757737","doi":"https://doi.org/10.1109/ijcnn.2004.1381114","mag":"2107757737"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2004.1381114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1381114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},"type":"article","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/A5111911641","display_name":"I.-V. Onut","orcid":null},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"I.-V. Onut","raw_affiliation_strings":["Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada","Fac. of Comput. Sci., New Brunswick Univ., Fredericton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"Fac. of Comput. Sci., New Brunswick Univ., Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034685391","display_name":"Ali A. Ghorbani","orcid":"https://orcid.org/0000-0001-9189-6268"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"A.A. Ghorbani","raw_affiliation_strings":["Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada","Fac. of Comput. Sci., New Brunswick Univ., Fredericton, NB, Canada"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, University of New Brunswick, Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]},{"raw_affiliation_string":"Fac. of Comput. Sci., New Brunswick Univ., Fredericton, NB, Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111911641"],"corresponding_institution_ids":["https://openalex.org/I106938459"],"apc_list":null,"apc_paid":null,"fwci":0.4571,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7537016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"2871","last_page":"2875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.998199999332428,"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/T10320","display_name":"Neural Networks and Applications","score":0.998199999332428,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9980000257492065,"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":0.9959999918937683,"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/voxel","display_name":"Voxel","score":0.8086028099060059},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6978340148925781},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6872340440750122},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.6479274034500122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.627068042755127},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5368549823760986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5254064202308655},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4997997283935547},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.44931358098983765},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.4410971403121948},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3594473898410797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16490814089775085},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.12396785616874695},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10807758569717407}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.8086028099060059},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6978340148925781},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6872340440750122},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.6479274034500122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.627068042755127},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5368549823760986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5254064202308655},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4997997283935547},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.44931358098983765},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.4410971403121948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3594473898410797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16490814089775085},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.12396785616874695},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10807758569717407},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn.2004.1381114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2004.1381114","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.110.9980","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.9980","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.unb.ca/profs/ghorbani/ali/papers/IJCNN04_fMRI_OG.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.178.3563","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.178.3563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ias.cs.unb.ca/papers/OG2004.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1539633645","https://openalex.org/W1747314365","https://openalex.org/W2000732749","https://openalex.org/W2062083532","https://openalex.org/W2077131661","https://openalex.org/W2106664807","https://openalex.org/W2108612171","https://openalex.org/W2112532472","https://openalex.org/W6632198113","https://openalex.org/W6637780520"],"related_works":["https://openalex.org/W128114763","https://openalex.org/W2042800611","https://openalex.org/W2051472919","https://openalex.org/W4386213410","https://openalex.org/W2072179998","https://openalex.org/W1981468049","https://openalex.org/W1534314914","https://openalex.org/W2371524820","https://openalex.org/W2534241281","https://openalex.org/W1987060659"],"abstract_inverted_index":{"Since":[0],"the":[1,18,29,43,47,76,83,86,92,98,101,118,121],"discovery":[2],"of":[3,17,24,28,46,67,78,85,94,100],"functional":[4],"magnetic":[5],"resonance":[6],"imaging":[7],"(fMRI)":[8],"studies":[9],"have":[10],"proved":[11],"that":[12,74],"this":[13,37],"technique":[14],"is":[15,34,123],"one":[16],"best":[19],"for":[20,58],"collecting":[21],"vast":[22],"quantities":[23],"data":[25],"about":[26],"activity":[27],"human":[30],"brain.":[31],"Our":[32,71],"aim":[33],"to":[35,41,107],"use":[36],"information":[38],"in":[39,120],"order":[40],"predict":[42],"cognitive":[44],"status":[45],"subject":[48],"given":[49],"its":[50],"fMRI":[51],"activity.":[52],"We":[53],"present":[54],"a":[55,65,112],"new":[56],"approach":[57],"creating":[59],"single-subject":[60],"classifiers":[61],"using":[62],"bagging":[63],"from":[64,105],"pool":[66],"feed-forward":[68],"backpropagation":[69],"networks.":[70],"experiments":[72],"indicate":[73],"as":[75],"number":[77,93],"selected":[79],"features":[80],"(voxels)":[81],"increases,":[82],"accuracy":[84,99,122],"system":[87,102],"increases":[88,104],"too.":[89],"Nevertheless,":[90],"when":[91],"voxels":[95],"exceeds":[96],"120,":[97],"rapidly":[103],"45%":[106],"70%.":[108],"Eventually":[109],"it":[110],"reaches":[111],"(near)":[113],"saturation":[114],"point":[115],"after":[116],"which":[117],"increase":[119],"very":[124],"slow.":[125]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
