{"id":"https://openalex.org/W2000544704","doi":"https://doi.org/10.1109/embc.2013.6609841","title":"Comparison of averaging and regression techniques for estimating Event Related Potentials","display_name":"Comparison of averaging and regression techniques for estimating Event Related Potentials","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2000544704","doi":"https://doi.org/10.1109/embc.2013.6609841","mag":"2000544704","pmid":"https://pubmed.ncbi.nlm.nih.gov/24110028"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2013.6609841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6609841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th 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/4136458","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069915268","display_name":"Matthew Burns","orcid":"https://orcid.org/0000-0001-8931-2454"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthew D. Burns","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of California, San Diego, CA, USA","[Dept of Electr. & Comput. Eng., Univ. of California San Diego, La Jolla, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"[Dept of Electr. & Comput. Eng., Univ. of California San Diego, La Jolla, CA, USA]","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040575323","display_name":"Nima Bigdely-Shamlo","orcid":"https://orcid.org/0000-0001-6403-892X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nima Bigdely-Shamlo","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of California, San Diego, CA, USA","[Dept of Electr. & Comput. Eng., Univ. of California San Diego, La Jolla, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"[Dept of Electr. & Comput. Eng., Univ. of California San Diego, La Jolla, CA, USA]","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101772449","display_name":"Nathaniel J. Smith","orcid":"https://orcid.org/0000-0003-1631-8198"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]},{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Nathaniel J. Smith","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of California, San Diego, CA, USA","[Sch. of Inf., Univ. of Edinburgh, Edinburgh, UK]"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"[Sch. of Inf., Univ. of Edinburgh, Edinburgh, UK]","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042298001","display_name":"Kenneth Kreutz-Delgado","orcid":"https://orcid.org/0000-0001-8135-6823"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth Kreutz-Delgado","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of California, San Diego, CA, USA","[Dept of Electr. & Comput. Eng., Univ. of California San Diego, La Jolla, CA, USA]"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"[Dept of Electr. & Comput. Eng., Univ. of California San Diego, La Jolla, CA, USA]","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053345339","display_name":"Scott Makeig","orcid":"https://orcid.org/0000-0002-9048-8438"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Makeig","raw_affiliation_strings":["Dept. of Electrical and Computer Engineering, University of California, San Diego, CA, USA","Swartz Center for Comput. Neurosci. (SCCN), Univ. of California San Diego, La Jolla, CA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, University of California, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]},{"raw_affiliation_string":"Swartz Center for Comput. Neurosci. (SCCN), Univ. of California San Diego, La Jolla, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5069915268"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":1.6077,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.83048893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2013","issue":null,"first_page":"1680","last_page":"1683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9972000122070312,"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":0.996399998664856,"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/computer-science","display_name":"Computer science","score":0.6475159525871277},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6232073307037354},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6217990517616272},{"id":"https://openalex.org/keywords/event-related-potential","display_name":"Event-related potential","score":0.5652326345443726},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5561891198158264},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5171891450881958},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.48701292276382446},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.48485100269317627},{"id":"https://openalex.org/keywords/rapid-serial-visual-presentation","display_name":"Rapid serial visual presentation","score":0.47483307123184204},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.47076988220214844},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4628526270389557},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4560612738132477},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.44759494066238403},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44598615169525146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.426883339881897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42386019229888916},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4194732904434204},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.41738906502723694},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40436458587646484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2808881402015686},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.27357858419418335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26650452613830566},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14841914176940918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475159525871277},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6232073307037354},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6217990517616272},{"id":"https://openalex.org/C67359045","wikidata":"https://www.wikidata.org/wiki/Q14026181","display_name":"Event-related potential","level":3,"score":0.5652326345443726},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5561891198158264},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5171891450881958},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.48701292276382446},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.48485100269317627},{"id":"https://openalex.org/C2779668609","wikidata":"https://www.wikidata.org/wiki/Q623092","display_name":"Rapid serial visual presentation","level":3,"score":0.47483307123184204},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.47076988220214844},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4628526270389557},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4560612738132477},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.44759494066238403},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44598615169525146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.426883339881897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42386019229888916},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4194732904434204},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.41738906502723694},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40436458587646484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2808881402015686},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.27357858419418335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26650452613830566},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14841914176940918},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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":[{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014796","descriptor_name":"Visual Perception","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/embc.2013.6609841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2013.6609841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:24110028","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24110028","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:CiteSeerX.psu:10.1.1.296.9141","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.296.9141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sccn.ucsd.edu/~scott/pdf/Burns rERP EMBC13.pdf","raw_type":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:4136458","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4136458","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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:4136458","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4136458","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":14,"referenced_works":["https://openalex.org/W146507280","https://openalex.org/W1536620489","https://openalex.org/W2003384775","https://openalex.org/W2016479629","https://openalex.org/W2093299871","https://openalex.org/W2104925726","https://openalex.org/W2115562224","https://openalex.org/W2123649031","https://openalex.org/W2128495200","https://openalex.org/W2142337462","https://openalex.org/W2143684265","https://openalex.org/W2157765880","https://openalex.org/W2171746332","https://openalex.org/W6683344597"],"related_works":["https://openalex.org/W2100610688","https://openalex.org/W1973445441","https://openalex.org/W4238551367","https://openalex.org/W1992935005","https://openalex.org/W4246316002","https://openalex.org/W2149152634","https://openalex.org/W2024615994","https://openalex.org/W1493121153","https://openalex.org/W3164494351","https://openalex.org/W2393109664"],"abstract_inverted_index":{"The":[0,125],"traditional":[1],"method":[2,29],"of":[3,15,23,46,60,89],"estimating":[4],"an":[5,96],"Event":[6],"Related":[7],"Potential":[8],"(ERP)":[9],"is":[10,30,152],"to":[11,20,57,76,91,110],"take":[12],"the":[13,35,41,78,133,145,150],"average":[14],"signal":[16],"epochs":[17],"time":[18,55,66,81],"locked":[19,56],"a":[21,99,114,155],"set":[22],"similar":[24],"experimental":[25,36],"events.":[26],"This":[27],"averaging":[28,71,136],"useful":[31],"as":[32,34],"long":[33],"procedure":[37],"can":[38],"sufficiently":[39],"isolate":[40],"brain":[42],"or":[43],"non-brain":[44],"process":[45],"interest.":[47],"However,":[48],"if":[49],"responses":[50,90,140],"from":[51],"multiple":[52,58],"cognitive":[53],"processes,":[54],"classes":[59],"closely":[61],"spaced":[62],"events,":[63],"overlap":[64],"in":[65,95,132],"with":[67],"varying":[68],"inter-event":[69],"intervals,":[70],"will":[72],"most":[73],"likely":[74],"fail":[75],"identify":[77],"individual":[79,138],"response":[80],"courses.":[82],"For":[83],"this":[84],"situation,":[85],"we":[86],"study":[87],"estimation":[88],"all":[92],"recorded":[93],"events":[94],"experiment":[97],"by":[98,149],"single":[100],"model":[101],"using":[102],"standard":[103],"linear":[104],"regression":[105],"(the":[106],"rERP":[107,126],"technique).":[108],"Applied":[109],"data":[111,134],"collected":[112],"during":[113],"Rapid":[115],"Serial":[116],"Visual":[117],"Presentation":[118],"(RSVP)":[119],"task,":[120],"our":[121],"analysis":[122],"shows:":[123],"(1)":[124],"technique":[127],"accounts":[128],"for":[129,148],"more":[130],"variance":[131,146],"than":[135,159],"when":[137],"event":[139],"are":[141],"highly":[142],"overlapping;":[143],"(2)":[144],"accounted":[147],"estimates":[151],"concentrated":[153],"into":[154],"fewer":[156],"ICA":[157],"components":[158],"raw":[160],"EEG":[161],"channel":[162],"signals.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}