{"id":"https://openalex.org/W4310153647","doi":"https://doi.org/10.3390/s22239243","title":"A Guided Tutorial on Modelling Human Event-Related Potentials with Recurrent Neural Networks","display_name":"A Guided Tutorial on Modelling Human Event-Related Potentials with Recurrent Neural Networks","publication_year":2022,"publication_date":"2022-11-28","ids":{"openalex":"https://openalex.org/W4310153647","doi":"https://doi.org/10.3390/s22239243","pmid":"https://pubmed.ncbi.nlm.nih.gov/36501944"},"language":"en","primary_location":{"id":"doi:10.3390/s22239243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22239243","pdf_url":"https://www.mdpi.com/1424-8220/22/23/9243/pdf?version=1669623075","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/23/9243/pdf?version=1669623075","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065214819","display_name":"Jamie A. O\u2019Reilly","orcid":"https://orcid.org/0000-0002-2250-3077"},"institutions":[{"id":"https://openalex.org/I89226531","display_name":"Rangsit University","ror":"https://ror.org/01cqcrc47","country_code":"TH","type":"education","lineage":["https://openalex.org/I89226531"]},{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Jamie A. O\u2019Reilly","raw_affiliation_strings":["College of Biomedical Engineering, Rangsit University, Pathum Thani 12000, Thailand","School of Engineering, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok 10520, Thailand","School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-2250-3077","affiliations":[{"raw_affiliation_string":"College of Biomedical Engineering, Rangsit University, Pathum Thani 12000, Thailand","institution_ids":["https://openalex.org/I89226531"]},{"raw_affiliation_string":"School of Engineering, King Mongkut\u2019s Institute of Technology Ladkrabang, Bangkok 10520, Thailand","institution_ids":["https://openalex.org/I91538806"]},{"raw_affiliation_string":"School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand","institution_ids":["https://openalex.org/I91538806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033851629","display_name":"Jordan Wehrman","orcid":"https://orcid.org/0000-0002-9358-6092"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jordan Wehrman","raw_affiliation_strings":["Brain and Mind Centre, University of Sydney, Sydney, NSW 2006, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain and Mind Centre, University of Sydney, Sydney, NSW 2006, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052784955","display_name":"Paul F. Sowman","orcid":"https://orcid.org/0000-0002-3863-6675"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Paul F. Sowman","raw_affiliation_strings":["School of Psychological Sciences, Macquarie University, Sydney, NSW 2109, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3863-6675","affiliations":[{"raw_affiliation_string":"School of Psychological Sciences, Macquarie University, Sydney, NSW 2109, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052784955"],"corresponding_institution_ids":["https://openalex.org/I99043593"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.026,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73385312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"22","issue":"23","first_page":"9243","last_page":"9243"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9995999932289124,"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":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.769481897354126},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.7348262667655945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5791863203048706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5762171149253845},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5470446348190308},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5192744731903076},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.44365596771240234},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4329894185066223},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.43034467101097107},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41881412267684937},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.41295456886291504},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12093871831893921},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09140649437904358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769481897354126},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7348262667655945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5791863203048706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5762171149253845},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5470446348190308},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5192744731903076},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.44365596771240234},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4329894185066223},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.43034467101097107},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41881412267684937},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.41295456886291504},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12093871831893921},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09140649437904358},{"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/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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D005071","descriptor_name":"Evoked Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"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":"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},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22239243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22239243","pdf_url":"https://www.mdpi.com/1424-8220/22/23/9243/pdf?version=1669623075","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36501944","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36501944","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:9738446","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9738446","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:9659a5841d9a47bf94af90fcf6eb5052","is_oa":true,"landing_page_url":"https://doaj.org/article/9659a5841d9a47bf94af90fcf6eb5052","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 23, p 9243 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/23/9243/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22239243","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 23; Pages: 9243","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22239243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22239243","pdf_url":"https://www.mdpi.com/1424-8220/22/23/9243/pdf?version=1669623075","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8421079010","display_name":"The development of predictive brain function in preschool children","funder_award_id":"DP170103148","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320319065","display_name":"Aromatic Plant Research Center","ror":"https://ror.org/05eebgw43"},{"id":"https://openalex.org/F4320320891","display_name":"International Brain Research Organization","ror":"https://ror.org/0040b6869"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4310153647.pdf","grobid_xml":"https://content.openalex.org/works/W4310153647.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W16854650","https://openalex.org/W1503587500","https://openalex.org/W1533861849","https://openalex.org/W1975764941","https://openalex.org/W1976948329","https://openalex.org/W1984727678","https://openalex.org/W2000297067","https://openalex.org/W2011301426","https://openalex.org/W2013537638","https://openalex.org/W2032711010","https://openalex.org/W2033828680","https://openalex.org/W2038953833","https://openalex.org/W2041464948","https://openalex.org/W2058670155","https://openalex.org/W2083597669","https://openalex.org/W2089530131","https://openalex.org/W2094995894","https://openalex.org/W2099323129","https://openalex.org/W2101234009","https://openalex.org/W2104049715","https://openalex.org/W2104640717","https://openalex.org/W2120613434","https://openalex.org/W2122835401","https://openalex.org/W2145435480","https://openalex.org/W2160654481","https://openalex.org/W2169918686","https://openalex.org/W2189165327","https://openalex.org/W2276501507","https://openalex.org/W2725150524","https://openalex.org/W2742781500","https://openalex.org/W2781940295","https://openalex.org/W2902163505","https://openalex.org/W3035965352","https://openalex.org/W3093672414","https://openalex.org/W3099655058","https://openalex.org/W3099878876","https://openalex.org/W3108558665","https://openalex.org/W3197139682","https://openalex.org/W3216796343","https://openalex.org/W4206112586","https://openalex.org/W4225395171","https://openalex.org/W4251099440","https://openalex.org/W4281398237","https://openalex.org/W4282556363","https://openalex.org/W4282829275","https://openalex.org/W4291570873","https://openalex.org/W4296034963","https://openalex.org/W4296160977","https://openalex.org/W4304128518","https://openalex.org/W6600755070","https://openalex.org/W6675354045","https://openalex.org/W6687400851","https://openalex.org/W6747190921"],"related_works":["https://openalex.org/W1974895211","https://openalex.org/W2129841057","https://openalex.org/W3040712279","https://openalex.org/W2176409448","https://openalex.org/W4225394202","https://openalex.org/W2364769705","https://openalex.org/W2056136368","https://openalex.org/W2374664672","https://openalex.org/W4298287631","https://openalex.org/W4367555392"],"abstract_inverted_index":{"In":[0],"cognitive":[1,26],"neuroscience":[2],"research,":[3],"computational":[4,58,145],"models":[5,47,59],"of":[6,14,48,57,87,133,143,167,202,225],"event-related":[7],"potentials":[8],"(ERP)":[9],"can":[10,136,184],"provide":[11],"a":[12,39,101,141,154,206],"means":[13],"developing":[15,42],"explanatory":[16],"hypotheses":[17],"for":[18],"the":[19,65,69,98,116,123,128,134,144,156,168,196,229],"observed":[20],"waveforms.":[21],"However,":[22],"researchers":[23],"trained":[24],"in":[25,32,51,60,100,205],"neurosciences":[27],"may":[28],"face":[29],"technical":[30],"challenges":[31],"implementing":[33],"these":[34,189],"models.":[35],"This":[36,191],"paper":[37,192],"provides":[38],"tutorial":[40,158],"on":[41,194,222],"recurrent":[43],"neural":[44],"network":[45],"(RNN)":[46],"ERP":[49,61,92,111,130,148],"waveforms":[50],"order":[52],"to":[53,96,118,126,163,188],"facilitate":[54],"broader":[55],"use":[56],"research.":[62],"To":[63],"exemplify":[64],"RNN":[66,99,117,124,135,169],"model":[67,142,203],"usage,":[68],"P3":[70,226],"component":[71,179],"evoked":[72],"by":[73,170],"target":[74],"and":[75,90,174,199,213],"non-target":[76],"visual":[77],"events,":[78],"measured":[79],"at":[80],"channel":[81],"Pz,":[82],"is":[83,220],"examined.":[84],"Input":[85],"representations":[86],"experimental":[88],"events":[89],"corresponding":[91],"labels":[93],"are":[94],"used":[95],"optimize":[97],"supervised":[102],"learning":[103],"paradigm.":[104],"Linking":[105],"one":[106],"input":[107],"representation":[108],"with":[109],"multiple":[110],"waveform":[112],"labels,":[113],"then":[114,137],"optimizing":[115],"minimize":[119],"mean-squared-error":[120],"loss,":[121],"causes":[122],"output":[125],"approximate":[127],"grand-average":[129],"waveform.":[131],"Behavior":[132],"be":[138,186],"evaluated":[139],"as":[140],"principles":[146],"underlying":[147],"generation.":[149],"Aside":[150],"from":[151],"fitting":[152],"such":[153],"model,":[155],"current":[157],"will":[159],"also":[160,185],"demonstrate":[161],"how":[162],"classify":[164],"hidden":[165],"units":[166],"their":[171],"temporal":[172],"responses":[173],"characterize":[175],"them":[176],"using":[177,209],"principal":[178],"analysis.":[180],"Statistical":[181],"hypothesis":[182],"testing":[183],"applied":[187],"data.":[190],"focuses":[193],"presenting":[195],"modelling":[197],"approach":[198],"subsequent":[200],"analysis":[201],"outputs":[204],"how-to":[207],"format,":[208],"publicly":[210],"available":[211],"data":[212],"shared":[214],"code.":[215],"While":[216],"relatively":[217],"less":[218],"emphasis":[219],"placed":[221],"specific":[223],"interpretations":[224],"response":[227],"generation,":[228],"results":[230],"initiate":[231],"some":[232],"interesting":[233],"discussion":[234],"points.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2022-11-30T00:00:00"}
