{"id":"https://openalex.org/W2006568951","doi":"https://doi.org/10.1109/isbi.2014.6867938","title":"Sparse representation of working memory processes based on fMRI data","display_name":"Sparse representation of working memory processes based on fMRI data","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2006568951","doi":"https://doi.org/10.1109/isbi.2014.6867938","mag":"2006568951"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2014.6867938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"},"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/A5038582366","display_name":"Dajiang Zhu","orcid":"https://orcid.org/0000-0002-6940-3911"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]},{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dajiang Zhu","raw_affiliation_strings":["Department of Computer Science and Bioimaging Research Center, University of Georgia, GA, US","Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, GA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Bioimaging Research Center, University of Georgia, GA, US","institution_ids":["https://openalex.org/I165733156","https://openalex.org/I4210133909"]},{"raw_affiliation_string":"Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, GA, US","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331094","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0002-9851-6376"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]},{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Department of Computer Science and Bioimaging Research Center, University of Georgia, GA, US","Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, GA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Bioimaging Research Center, University of Georgia, GA, US","institution_ids":["https://openalex.org/I165733156","https://openalex.org/I4210133909"]},{"raw_affiliation_string":"Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, GA, US","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100647156","display_name":"Tianming Liu","orcid":"https://orcid.org/0000-0002-8132-9048"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]},{"id":"https://openalex.org/I4210133909","display_name":"Center for Translational Research in Neuroimaging and Data Science","ror":"https://ror.org/02qx6zf82","country_code":"US","type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I150468666","https://openalex.org/I181565077","https://openalex.org/I4210133909"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianming Liu","raw_affiliation_strings":["Department of Computer Science and Bioimaging Research Center, University of Georgia, GA, US","Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, GA, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Bioimaging Research Center, University of Georgia, GA, US","institution_ids":["https://openalex.org/I165733156","https://openalex.org/I4210133909"]},{"raw_affiliation_string":"Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, GA, US","institution_ids":["https://openalex.org/I165733156"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"584","last_page":"587"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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":1.0,"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":0.9997000098228455,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9987000226974487,"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/working-memory","display_name":"Working memory","score":0.76662278175354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7492013573646545},{"id":"https://openalex.org/keywords/transfer-entropy","display_name":"Transfer entropy","score":0.5490824580192566},{"id":"https://openalex.org/keywords/default-mode-network","display_name":"Default mode network","score":0.5422069430351257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5248358845710754},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5111759305000305},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49274542927742004},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4873996376991272},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.46619170904159546},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4508393704891205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3661075830459595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3327257037162781},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.22934553027153015},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.22346726059913635},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1899925172328949}],"concepts":[{"id":"https://openalex.org/C21963081","wikidata":"https://www.wikidata.org/wiki/Q11337567","display_name":"Working memory","level":3,"score":0.76662278175354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7492013573646545},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.5490824580192566},{"id":"https://openalex.org/C141516989","wikidata":"https://www.wikidata.org/wiki/Q1182555","display_name":"Default mode network","level":3,"score":0.5422069430351257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5248358845710754},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5111759305000305},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49274542927742004},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4873996376991272},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.46619170904159546},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4508393704891205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3661075830459595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3327257037162781},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.22934553027153015},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.22346726059913635},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1899925172328949},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isbi.2014.6867938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2014.6867938","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1998855618","https://openalex.org/W2005876975","https://openalex.org/W2027278504","https://openalex.org/W2041782669","https://openalex.org/W2042568524","https://openalex.org/W2083533641","https://openalex.org/W2114565884","https://openalex.org/W2117663940","https://openalex.org/W2149013149","https://openalex.org/W2154054253"],"related_works":["https://openalex.org/W2362359593","https://openalex.org/W2077235252","https://openalex.org/W2156395637","https://openalex.org/W4378949034","https://openalex.org/W2433981207","https://openalex.org/W1966203994","https://openalex.org/W2150055352","https://openalex.org/W2356475741","https://openalex.org/W2075237332","https://openalex.org/W1993345826"],"abstract_inverted_index":{"Cognitive":[0],"processes,":[1],"such":[2],"as":[3,9,95,155],"working":[4,85,159],"memory,":[5],"are":[6,13,50,174],"widely":[7],"considered":[8],"dynamic,":[10],"and":[11,54,66,115,149],"they":[12,152],"believed":[14],"to":[15,78,98,122,176],"involve":[16],"complex":[17,57],"functional":[18,102],"information":[19],"flows":[20],"in":[21,52,63,157,179],"large-scale":[22],"brain":[23,42],"networks.":[24],"However,":[25],"traditional":[26],"voxel-based":[27],"fMRI":[28,147],"time":[29],"series":[30,107],"analysis":[31],"methods,":[32],"which":[33],"essentially":[34],"assume":[35],"that":[36,59,151],"the":[37,45,80,84,91,96,100,124,145,169,180],"hemodynamic":[38],"responses":[39],"of":[40,108],"involved":[41],"regions":[43],"follow":[44],"block":[46],"or":[47],"event-related":[48],"paradigms,":[49],"limited":[51],"recognizing":[53],"modeling":[55],"this":[56,70],"process":[58],"has":[60],"been":[61],"changing":[62],"both":[64],"spatial":[65],"temporal":[67],"spaces.":[68],"In":[69],"paper,":[71],"we":[72,89],"propose":[73],"a":[74,106,135],"novel":[75],"computational":[76],"framework":[77],"explore":[79],"potential":[81],"mechanisms":[82],"underlying":[83],"memory":[86,160],"process.":[87,161],"Specifically,":[88],"adopt":[90],"Transfer":[92],"Entropy":[93],"(TE)":[94],"measure":[97],"model":[99],"directional":[101],"interactions":[103],"based":[104],"on":[105],"structurally-consistent":[109],"cortical":[110,137],"landmarks.":[111],"Then":[112],"an":[113],"effective":[114],"carefully-designed":[116],"sparsity":[117],"learning":[118],"procedure":[119],"was":[120],"applied":[121],"derive":[123],"most":[125],"representative":[126],"interaction":[127,142,165],"patterns":[128,166],"for":[129],"further":[130],"analysis.":[131],"Our":[132],"results":[133],"show":[134],"few":[136],"landmarks":[138],"displaying":[139],"significantly":[140],"higher":[141],"strength":[143],"during":[144],"whole":[146],"scan":[148],"suggest":[150],"might":[153],"act":[154],"hubs":[156],"coordinating":[158],"Moreover,":[162],"four":[163],"prominent":[164],"associated":[167],"with":[168],"Default":[170],"Mode":[171],"Network":[172],"(DMN)":[173],"found":[175],"be":[177],"attenuated":[178],"task":[181],"performance":[182],"period.":[183]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}