{"id":"https://openalex.org/W2346534544","doi":"https://doi.org/10.1109/prni.2016.7552329","title":"Text-mining the neurosynth corpus using deep boltzmann machines","display_name":"Text-mining the neurosynth corpus using deep boltzmann machines","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2346534544","doi":"https://doi.org/10.1109/prni.2016.7552329","mag":"2346534544"},"language":"en","primary_location":{"id":"doi:10.1109/prni.2016.7552329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2016.7552329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1605.00223","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076901058","display_name":"Ricardo Pio Monti","orcid":"https://orcid.org/0000-0002-7823-4961"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ricardo Monti","raw_affiliation_strings":["Department of Mathematics, Imperial College, London","Department of Mathematics, Imperial College, London,"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Imperial College, London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Mathematics, Imperial College, London,","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067193315","display_name":"Romy Lorenz","orcid":"https://orcid.org/0000-0002-7742-3162"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I4210143253","display_name":"Cognitive Neuroimaging Lab","ror":"https://ror.org/056wdpc91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210113668","https://openalex.org/I4210143253"]}],"countries":["FR","GB"],"is_corresponding":false,"raw_author_name":"Romy Lorenz","raw_affiliation_strings":["Imperial College, Computational, Cognitive and Clinical N euroimaging Laboratory, London","Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London"],"affiliations":[{"raw_affiliation_string":"Imperial College, Computational, Cognitive and Clinical N euroimaging Laboratory, London","institution_ids":[]},{"raw_affiliation_string":"Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London","institution_ids":["https://openalex.org/I4210143253","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007616376","display_name":"Robert Leech","orcid":"https://orcid.org/0000-0002-5801-6318"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I4210143253","display_name":"Cognitive Neuroimaging Lab","ror":"https://ror.org/056wdpc91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I154526488","https://openalex.org/I2738703131","https://openalex.org/I2738703131","https://openalex.org/I4210113668","https://openalex.org/I4210143253"]}],"countries":["FR","GB"],"is_corresponding":false,"raw_author_name":"Robert Leech","raw_affiliation_strings":["Imperial College, Computational, Cognitive and Clinical N euroimaging Laboratory, London","Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London"],"affiliations":[{"raw_affiliation_string":"Imperial College, Computational, Cognitive and Clinical N euroimaging Laboratory, London","institution_ids":[]},{"raw_affiliation_string":"Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College London","institution_ids":["https://openalex.org/I4210143253","https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062697535","display_name":"Christoforos Anagnostopoulos","orcid":"https://orcid.org/0000-0002-6001-9921"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Christoforos Anagnostopoulos","raw_affiliation_strings":["Department of Mathematics, Imperial College, London","Department of Mathematics, Imperial College, London,"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Imperial College, London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Mathematics, Imperial College, London,","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010581004","display_name":"Giovanni Montana","orcid":"https://orcid.org/0000-0003-3942-3900"},"institutions":[{"id":"https://openalex.org/I164213776","display_name":"King's College - North Carolina","ror":"https://ror.org/022f44628","country_code":"US","type":"education","lineage":["https://openalex.org/I164213776"]},{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]},{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Giovanni Montana","raw_affiliation_strings":["Department of Biomedical Engineering, Kings College, London","Department of Mathematics, Imperial College, London","Department of Mathematics, Imperial College, London,"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Kings College, London","institution_ids":["https://openalex.org/I164213776","https://openalex.org/I183935753"]},{"raw_affiliation_string":"Department of Mathematics, Imperial College, London","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Department of Mathematics, Imperial College, London,","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076901058"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0281991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10028","display_name":"Topic Modeling","score":0.9955000281333923,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.8073238134384155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7373364567756653},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6751752495765686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.665265679359436},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.6301056146621704},{"id":"https://openalex.org/keywords/text-corpus","display_name":"Text corpus","score":0.6004208326339722},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5632507801055908},{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.562720775604248},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5329998731613159},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5067282319068909},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.49169832468032837},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.45929378271102905},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4578297734260559},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4529813230037689},{"id":"https://openalex.org/keywords/neuroimaging","display_name":"Neuroimaging","score":0.44749119877815247},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3980686664581299},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09602564573287964}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8073238134384155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7373364567756653},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6751752495765686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.665265679359436},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.6301056146621704},{"id":"https://openalex.org/C2474386","wikidata":"https://www.wikidata.org/wiki/Q461183","display_name":"Text corpus","level":2,"score":0.6004208326339722},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5632507801055908},{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.562720775604248},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5329998731613159},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5067282319068909},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.49169832468032837},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.45929378271102905},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4578297734260559},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4529813230037689},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.44749119877815247},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3980686664581299},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09602564573287964},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/prni.2016.7552329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/prni.2016.7552329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1605.00223","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.00223","pdf_url":"https://arxiv.org/pdf/1605.00223","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2346534544","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1605.00223.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10061070","is_oa":false,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10061070/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:  Proceedings of the 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI) 2016.    IEEE: Trento, Italy. (2016)     ","raw_type":"Proceedings paper"},{"id":"pmh:oai:kclpure.kcl.ac.uk:publications/2533947d-7025-4978-94fe-7062e7e7a019","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=84988872592&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306400216","display_name":"Research Portal (King's College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I183935753","host_organization_name":"King's College London","host_organization_lineage":["https://openalex.org/I183935753"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Monti , R , Lorenz , R , Leech , R , Anagnostopoulos , C & Montana , G 2016 , Text-mining the neurosynth corpus using deep boltzmann machines . in PRNI 2016 - 6th International Workshop on Pattern Recognition in Neuroimaging . , 7552329 , Institute of Electrical and Electronics Engineers Inc. , 6th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2016 , Trento , Italy , 22/06/2016 . https://doi.org/10.1109/PRNI.2016.7552329","raw_type":"contributionToPeriodical"},{"id":"doi:10.48550/arxiv.1605.00223","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1605.00223","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1605.00223","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.00223","pdf_url":"https://arxiv.org/pdf/1605.00223","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2346534544.pdf","grobid_xml":"https://content.openalex.org/works/W2346534544.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W2096192494","https://openalex.org/W2100002341","https://openalex.org/W2116064496","https://openalex.org/W2116825644","https://openalex.org/W2124757386","https://openalex.org/W2142013204","https://openalex.org/W2151433332","https://openalex.org/W2151591509","https://openalex.org/W2163922914","https://openalex.org/W2187089797","https://openalex.org/W2268210938","https://openalex.org/W2951873890","https://openalex.org/W6607775107","https://openalex.org/W6674813771"],"related_works":["https://openalex.org/W2963839809","https://openalex.org/W3159791666","https://openalex.org/W1950831375","https://openalex.org/W2807236574","https://openalex.org/W839520767","https://openalex.org/W3160986377","https://openalex.org/W2884150790","https://openalex.org/W2772468182","https://openalex.org/W2740797857","https://openalex.org/W2941500730","https://openalex.org/W2735774026","https://openalex.org/W1513454195","https://openalex.org/W2142692246","https://openalex.org/W3133557583","https://openalex.org/W2950986810","https://openalex.org/W3107593279","https://openalex.org/W2517678422","https://openalex.org/W3147003847","https://openalex.org/W3163957165","https://openalex.org/W3023337298"],"abstract_inverted_index":{"Large-scale":[0],"automated":[1],"meta-analysis":[2,54],"of":[3,18,43,48,52,81,93,128],"neuroimaging":[4,44],"data":[5],"has":[6,24],"recently":[7],"established":[8],"itself":[9],"as":[10,66],"an":[11,78],"important":[12],"tool":[13],"in":[14,116],"advancing":[15],"our":[16],"understanding":[17],"human":[19],"brain":[20,33],"function.":[21],"This":[22],"research":[23,45],"been":[25,71],"pioneered":[26],"by":[27],"NeuroSynth,":[28],"a":[29,40,117,147],"database":[30],"collecting":[31],"both":[32,111],"activation":[34],"coordinates":[35],"and":[36,61,113],"associated":[37],"text":[38,84,135],"across":[39],"large":[41],"cohort":[42],"papers.":[46],"One":[47],"the":[49,82,99,106,126,134],"fundamental":[50],"aspects":[51],"such":[53,65],"is":[55,105,141],"text-mining.":[56],"To":[57],"date,":[58],"word":[59,112],"counts":[60],"more":[62],"sophisticated":[63],"methods":[64],"Latent":[67],"Dirichlet":[68],"Allocation":[69],"have":[70],"proposed.":[72],"In":[73],"this":[74],"work":[75],"we":[76],"present":[77],"unsupervised":[79],"study":[80],"NeuroSynth":[83],"corpus":[85],"using":[86],"Deep":[87],"Boltzmann":[88],"Machines":[89],"(DBMs).":[90],"The":[91,137],"use":[92,127],"DBMs":[94],"yields":[95,110],"several":[96],"advantages":[97],"over":[98],"aforementioned":[100],"methods,":[101],"principal":[102],"among":[103],"which":[104],"fact":[107],"that":[108],"it":[109],"document":[114],"embeddings":[115,122,145],"high-dimensional":[118],"vector":[119],"space.":[120],"Such":[121],"serve":[123],"to":[124,143],"facilitate":[125],"traditional":[129],"machine":[130],"learning":[131],"techniques":[132],"on":[133],"corpus.":[136],"proposed":[138],"DBM":[139],"model":[140],"shown":[142],"learn":[144],"with":[146],"clear":[148],"semantic":[149],"structure.":[150]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}