{"id":"https://openalex.org/W7095239508","doi":null,"title":"Factor Topographic Latent Source Analysis: Factor Analysis for","display_name":"Factor Topographic Latent Source Analysis: Factor Analysis for","publication_year":2016,"publication_date":"2016-01-06","ids":{"openalex":"https://openalex.org/W7095239508"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.1264","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.1264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://caligari.dartmouth.edu/%7Ejmanning/pubs/MannEtal12b.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Brain Images","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brain Images","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008333978","display_name":"Jeremy R. Manning","orcid":"https://orcid.org/0000-0001-7613-4732","observed_orcids":["https://orcid.org/0000-0001-7613-4732"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeremy R. Manning","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031715686","display_name":"Samuel Joseph Gershman","orcid":"https://orcid.org/0000-0002-6546-3298","observed_orcids":["https://orcid.org/0000-0002-6546-3298"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samuel J. Gershman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kenneth A. Norman","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenneth A. Norman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5070920982","display_name":"David M. Blei","orcid":"https://orcid.org/0000-0002-5588-4611","observed_orcids":["https://orcid.org/0000-0002-5588-4611"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David M. Blei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38033755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.8169000148773193,"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":0.8169000148773193,"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/T12303","display_name":"Tensor decomposition and applications","score":0.04670000076293945,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.03139999881386757,"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/fmri-data-analysis","display_name":"fMRI data analysis","score":0.7329999804496765},{"id":"https://openalex.org/keywords/spatial-function","display_name":"spatial function","score":0.5379999876022339},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.5619999766349792}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.6640999913215637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6169000267982483},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5594000220298767},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.5482000112533569},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5374000072479248},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4650999903678894},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43689998984336853},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4293000102043152},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.426800012588501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41200000047683716},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2921000123023987},{"id":"https://openalex.org/C116580362","wikidata":"https://www.wikidata.org/wiki/Q3878457","display_name":"Spatial normalization","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.1264","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.1264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://caligari.dartmouth.edu/%7Ejmanning/pubs/MannEtal12b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2009849957","https://openalex.org/W7095676915","https://openalex.org/W7099877419","https://openalex.org/W2553384123","https://openalex.org/W7097314898","https://openalex.org/W7098384863","https://openalex.org/W2727792046","https://openalex.org/W3212449565","https://openalex.org/W2555681608","https://openalex.org/W2059834306"],"abstract_inverted_index":{"Abstract.":[0],"Traditional":[1],"approaches":[2],"to":[3,16,59,95],"analyzing":[4],"experimental":[5],"functional":[6],"magnetic":[7],"resonance":[8],"imaging":[9],"(fMRI)":[10],"data":[11,131],"entail":[12],"fitting":[13],"per-voxel":[14],"parameters":[15],"explain":[17],"how":[18],"the":[19,23,31,44,50,79,87,91,122,130,136],"observed":[20],"images":[21,107,124],"reflect":[22],"thoughts":[24],"and":[25,42,73,132],"stimuli":[26],"a":[27,101],"participant":[28],"experienced":[29],"during":[30],"experiment.":[32],"These":[33],"methods":[34],"implicitly":[35],"assume":[36],"that":[37,43,66,78,125],"voxel":[38,67],"responses":[39],"are":[40,57,84,108,133],"independent":[41,85,134],"unit":[45],"of":[46,54,86,113,121,135],"analysis":[47],"should":[48],"be":[49,60,96],"voxel.":[51],"However,":[52],"both":[53],"these":[55],"assumptions":[56],"known":[58,65],"untrue:":[61],"it":[62],"is":[63],"well":[64],"activations":[68,83],"exhibit":[69],"strong":[70],"spatial":[71,114,127],"correlations,":[72],"common":[74],"sense":[75],"tells":[76],"us":[77],"true":[80],"underlying":[81],"brain":[82,92,106,123],"resolution":[88],"at":[89],"which":[90],"image":[93,137],"happened":[94],"taken.":[97],"Here":[98],"we":[99],"propose":[100],"fundamentally":[102],"different":[103],"approach,":[104],"whereby":[105],"represented":[109],"as":[110],"weighted":[111],"sums":[112],"functions.":[115],"Our":[116],"technique":[117],"yields":[118],"compact":[119],"representations":[120],"leverage":[126],"correlations":[128],"in":[129],"resolution.":[138],"1":[139]},"counts_by_year":[],"updated_date":"2026-10-17T09:40:24.721904","created_date":"2025-10-27T00:00:00"}
