{"id":"https://openalex.org/W2140486723","doi":"https://doi.org/10.1109/mlsp.2011.6064598","title":"Efficient temporal decomposition of local field potentials","display_name":"Efficient temporal decomposition of local field potentials","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2140486723","doi":"https://doi.org/10.1109/mlsp.2011.6064598","mag":"2140486723"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2011.6064598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2011.6064598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Workshop on Machine Learning for Signal Processing","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/A5103119412","display_name":"Austin J. Brockmeier","orcid":"https://orcid.org/0000-0002-7293-8140"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Austin J. Brockmeier","raw_affiliation_strings":["Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","University of Florida, Electrical and Computer Engineering, Gainesville, 32611 USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"University of Florida, Electrical and Computer Engineering, Gainesville, 32611 USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019504861","display_name":"Jos\u00e9 C. Pr\u0131\u0301ncipe","orcid":"https://orcid.org/0000-0002-3449-3531"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose C. Principe","raw_affiliation_strings":["Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","University of Florida, Electrical and Computer Engineering, Gainesville, 32611 USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"University of Florida, Electrical and Computer Engineering, Gainesville, 32611 USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076270781","display_name":"Babak Mahmoudi","orcid":"https://orcid.org/0000-0001-5819-5072"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Babak Mahmoudi","raw_affiliation_strings":["Biomedical Engineering, University of Miami, Coral Gables, FL, USA","University of Miami, Biomedical Engineering, Coral Gables, FL 33146 USA"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"University of Miami, Biomedical Engineering, Coral Gables, FL 33146 USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090559862","display_name":"Justin C. Sanchez","orcid":"https://orcid.org/0000-0002-2094-8400"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Justin C. Sanchez","raw_affiliation_strings":["Biomedical Engineering, University of Miami, Coral Gables, FL, USA","University of Miami, Biomedical Engineering, Coral Gables, FL 33146 USA"],"affiliations":[{"raw_affiliation_string":"Biomedical Engineering, University of Miami, Coral Gables, FL, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"University of Miami, Biomedical Engineering, Coral Gables, FL 33146 USA","institution_ids":["https://openalex.org/I145608581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103119412"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1719747,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"273","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","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/T10581","display_name":"Neural dynamics and brain function","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/T11447","display_name":"Blind Source Separation Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9961000084877014,"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/local-field-potential","display_name":"Local field potential","score":0.9526369571685791},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6054320931434631},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5944877862930298},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.5257050395011902},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4937075078487396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4734204411506653},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4582892656326294},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.45738711953163147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44873908162117004},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44537994265556335},{"id":"https://openalex.org/keywords/neural-activity","display_name":"Neural activity","score":0.44016233086586},{"id":"https://openalex.org/keywords/component-analysis","display_name":"Component analysis","score":0.41157272458076477},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.21934860944747925},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.1272244155406952},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07524070143699646}],"concepts":[{"id":"https://openalex.org/C117838684","wikidata":"https://www.wikidata.org/wiki/Q533483","display_name":"Local field potential","level":2,"score":0.9526369571685791},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6054320931434631},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5944877862930298},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.5257050395011902},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4937075078487396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4734204411506653},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4582892656326294},{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.45738711953163147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44873908162117004},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44537994265556335},{"id":"https://openalex.org/C2984127161","wikidata":"https://www.wikidata.org/wiki/Q969316","display_name":"Neural activity","level":2,"score":0.44016233086586},{"id":"https://openalex.org/C2780692498","wikidata":"https://www.wikidata.org/wiki/Q16950721","display_name":"Component analysis","level":2,"score":0.41157272458076477},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.21934860944747925},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1272244155406952},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07524070143699646},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2011.6064598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2011.6064598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Workshop on Machine Learning for Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1970798847","https://openalex.org/W1974388905","https://openalex.org/W1978744523","https://openalex.org/W2014339193","https://openalex.org/W2016479629","https://openalex.org/W2017399882","https://openalex.org/W2046198005","https://openalex.org/W2055700480","https://openalex.org/W2058676219","https://openalex.org/W2075178078","https://openalex.org/W2079369992","https://openalex.org/W2099741732","https://openalex.org/W2108384452","https://openalex.org/W2111460811","https://openalex.org/W2112345337","https://openalex.org/W2133285226","https://openalex.org/W2141224535","https://openalex.org/W2142875089","https://openalex.org/W2143646747","https://openalex.org/W2160704933","https://openalex.org/W2163934548","https://openalex.org/W4242259102"],"related_works":["https://openalex.org/W1971575144","https://openalex.org/W2369494890","https://openalex.org/W2139404519","https://openalex.org/W2121025724","https://openalex.org/W2093508283","https://openalex.org/W2393502243","https://openalex.org/W2370924545","https://openalex.org/W2897887562","https://openalex.org/W2123927273","https://openalex.org/W3105707994"],"abstract_inverted_index":{"Local":[0],"field":[1],"potentials":[2],"(LFPs)":[3],"arise":[4],"from":[5,26,122,161],"dendritic":[6],"currents":[7],"that":[8,18,72,92],"are":[9,93,158],"summed":[10],"by":[11,38],"the":[12,19,23,27,39,67,82,87,103,135,149,153,156,162],"brain":[13],"tissue's":[14],"impedance.":[15],"By":[16],"assuming":[17],"rhythms":[20],"existing":[21],"in":[22],"LFPs":[24],"result":[25],"coordinated":[28],"neural":[29,35,40,47],"activity":[30,101],"of":[31,57,69,81],"sparse":[32],"and":[33,66,117],"transient":[34],"assemblies":[36,48],"transformed":[37],"tissue,":[41],"we":[42,109],"propose":[43],"to":[44,89],"recover":[45],"these":[46],"sources":[49,91],"using":[50],"an":[51,77],"independent":[52],"component":[53],"analysis":[54,144],"on":[55,74,113],"segments":[56],"a":[58,114,118,123,128],"single":[59],"LFP":[60,143],"channel.":[61],"The":[62],"corresponding":[63],"source":[64],"signals":[65],"set":[68],"temporal":[70],"filters":[71],"operate":[73],"them":[75],"constitute":[76],"efficient":[78],"time-frequency":[79,137],"decomposition":[80,85],"LFP.":[83],"This":[84],"has":[86],"potential":[88],"identify":[90],"more":[94],"statistically":[95],"dependent":[96],"with":[97,134],"stimuli":[98],"or":[99],"single-cell":[100],"than":[102],"raw":[104],"signal.":[105],"In":[106],"this":[107,139],"work":[108],"show":[110],"preliminary":[111],"results":[112],"synthetic":[115],"dataset":[116,120],"real":[119],"recorded":[121],"rats":[124],"nucleus":[125],"accumbens":[126],"during":[127],"reward":[129],"administering":[130],"experiment.":[131],"When":[132],"compared":[133],"standard":[136],"analysis,":[138],"computational":[140],"model":[141],"for":[142,155],"is":[145],"totally":[146],"data-driven":[147],"because":[148],"filters,":[150],"which":[151],"form":[152],"basis":[154],"decomposition,":[157],"estimated":[159],"directly":[160],"data.":[163]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
