{"id":"https://openalex.org/W2899091068","doi":"https://doi.org/10.1109/embc.2018.8512200","title":"Biophysically interpretable recurrent neural network for functional magnetic resonance imaging analysis and sparsity based causal architecture discovery","display_name":"Biophysically interpretable recurrent neural network for functional magnetic resonance imaging analysis and sparsity based causal architecture discovery","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2899091068","doi":"https://doi.org/10.1109/embc.2018.8512200","mag":"2899091068","pmid":"https://pubmed.ncbi.nlm.nih.gov/30440391"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8512200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512200","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":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6686853","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100344808","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0001-5871-9497"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["New York University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319037","display_name":"Yao Wang","orcid":"https://orcid.org/0000-0003-2839-0824"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yao Wang","raw_affiliation_strings":["New York University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043209972","display_name":"Yvonne W. Lui","orcid":"https://orcid.org/0000-0002-9984-9164"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yvonne W. Lui","raw_affiliation_strings":["New York University, New York, NY, US"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, US","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100344808"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13570959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"2018","issue":null,"first_page":"275","last_page":"278"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998999834060669,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998999834060669,"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":0.998199999332428,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7598159313201904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7002982497215271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6485298275947571},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5025250911712646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4027641713619232},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3617352843284607},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07836395502090454}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7598159313201904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002982497215271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6485298275947571},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5025250911712646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4027641713619232},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3617352843284607},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07836395502090454},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2018.8512200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8512200","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:30440391","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30440391","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:pubmedcentral.nih.gov:6686853","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6686853","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Conf Proc IEEE Eng Med Biol Soc","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:6686853","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6686853","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Conf Proc IEEE Eng Med Biol Soc","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1978510898","https://openalex.org/W2054924908","https://openalex.org/W2117663940","https://openalex.org/W2140952948","https://openalex.org/W2767453187"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Recent":[0],"efforts":[1],"use":[2],"state-of-the-art":[3],"Recurrent":[4],"Neural":[5],"Networks":[6],"(RNN)":[7],"to":[8,63,169],"gain":[9],"insight":[10],"into":[11],"neuroscience.":[12],"A":[13],"limitation":[14],"of":[15,30,66,86],"these":[16],"works":[17],"is":[18,55,126,166],"that":[19,76,159],"the":[20,28,31,49,92,95,109,155],"used":[21,62],"generic":[22],"RNNs":[23],"lack":[24],"biophysical":[25],"meaning,":[26],"making":[27],"interpretation":[29],"results":[32],"in":[33],"a":[34,43,83,87,127],"neuroscience":[35,131],"context":[36],"difficult.":[37],"In":[38,91,142,154],"this":[39,143],"paper,":[40],"we":[41,145,157],"propose":[42],"biophysically":[44],"interpretable":[45],"RNN":[46],"built":[47],"on":[48],"Dynamic":[50],"Causal":[51],"Modelling":[52],"(DCM).":[53],"DCM":[54,77,180],"an":[56],"advanced":[57],"nonlinear":[58],"generative":[59],"model":[60],"typically":[61],"test":[64],"hypotheses":[65],"brain":[67],"causal":[68,149],"architectures":[69,177],"and":[70,105,108,121,171],"associated":[71],"effective":[72,116],"connectivities.":[73],"We":[74],"show":[75],"can":[78],"be":[79],"cast":[80],"faithfully":[81],"as":[82,115],"special":[84],"form":[85],"new":[88],"generalized":[89],"RNN.":[90],"resulting":[93],"DCM-RNN,":[94],"hidden":[96],"states":[97],"are":[98,111],"neural":[99],"activity,":[100],"blood":[101,103],"flow,":[102],"volume,":[104],"deoxyhemoglobin":[106],"content":[107],"parameters":[110],"biological":[112],"quantities":[113],"such":[114],"connectivity,":[117],"oxygen":[118],"extraction":[119],"fraction":[120],"vessel":[122],"wall":[123],"elasticity.":[124],"DCM-RNN":[125,160],"versatile":[128],"tool":[129],"for":[130],"with":[132,138,152,162,181],"great":[133],"potential":[134],"especially":[135],"when":[136],"combined":[137],"deep":[139],"learning":[140],"networks.":[141],"study,":[144],"explore":[146],"sparsity-":[147],"based":[148],"architecture":[150],"discovery":[151],"DCM-RNN.":[153],"experiments,":[156],"demonstrate":[158],"equipped":[161],"$l_{1}$":[163],"connectivity":[164,183],"regulation":[165],"more":[167,172],"robust":[168],"noise":[170],"powerful":[173],"at":[174],"discovering":[175],"sparse":[176],"than":[178],"classic":[179],"$l_{2}$":[182],"regulation.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}