{"id":"https://openalex.org/W3027874610","doi":"https://doi.org/10.3389/fncom.2020.00055","title":"Neurons as Canonical Correlation Analyzers","display_name":"Neurons as Canonical Correlation Analyzers","publication_year":2020,"publication_date":"2020-06-30","ids":{"openalex":"https://openalex.org/W3027874610","doi":"https://doi.org/10.3389/fncom.2020.00055","mag":"3027874610","pmid":"https://pubmed.ncbi.nlm.nih.gov/32694989","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7338892"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2020.00055","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2020.00055/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/fncom.2020.00055/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023195984","display_name":"Cengiz Pehlevan","orcid":"https://orcid.org/0000-0001-9767-6063"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cengiz Pehlevan","raw_affiliation_strings":["John A. Paulson School of Engineering and Applied Sciences and Center for Brain Science, Harvard University, Cambridge, MA, United States"],"affiliations":[{"raw_affiliation_string":"John A. Paulson School of Engineering and Applied Sciences and Center for Brain Science, Harvard University, Cambridge, MA, United States","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101683160","display_name":"Xinyuan Zhao","orcid":"https://orcid.org/0000-0003-1770-631X"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyuan Zhao","raw_affiliation_strings":["Center for Neural Science, New York University, New York, NY, United States"],"affiliations":[{"raw_affiliation_string":"Center for Neural Science, New York University, New York, NY, United States","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066552315","display_name":"Anirvan M. Sengupta","orcid":"https://orcid.org/0000-0001-8485-0018"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anirvan M. Sengupta","raw_affiliation_strings":["Rutgers, The State University of New Jersey, New Brunswick, NJ, United States"],"affiliations":[{"raw_affiliation_string":"Rutgers, The State University of New Jersey, New Brunswick, NJ, United States","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062874541","display_name":"Dmitri B. Chklovskii","orcid":"https://orcid.org/0000-0002-4781-2546"},"institutions":[{"id":"https://openalex.org/I4387153999","display_name":"Flatiron Institute","ror":"https://ror.org/00sekdz59","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I4210107338","https://openalex.org/I4387153999"]},{"id":"https://openalex.org/I4210086933","display_name":"NYU Langone Health","ror":"https://ror.org/005dvqh91","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210086933"]},{"id":"https://openalex.org/I4210153546","display_name":"Flatiron Health (United States)","ror":"https://ror.org/0508h6p74","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153546"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitri Chklovskii","raw_affiliation_strings":["Center for Computational Biology, Flatiron Institute, New York, NY, United States","Langone Medical Center, New York University, New York, NY, United States"],"affiliations":[{"raw_affiliation_string":"Center for Computational Biology, Flatiron Institute, New York, NY, United States","institution_ids":["https://openalex.org/I4387153999","https://openalex.org/I4210153546"]},{"raw_affiliation_string":"Langone Medical Center, New York University, New York, NY, United States","institution_ids":["https://openalex.org/I4210086933"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023195984"],"corresponding_institution_ids":["https://openalex.org/I136199984"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950,"provenance":"doaj"},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950,"provenance":"doaj"},"fwci":1.031,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":10,"citation_normalized_percentile":{"value":0.606049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":"14","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9977,"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":0.9977,"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/T12032","display_name":"Multisensory perception and integration","score":0.99,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12813","display_name":"Plant and Biological Electrophysiology Studies","score":0.9817,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.76207805}],"concepts":[{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.76207805},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.59191954},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41857135},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32865822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29598272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27200168},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.040897697}],"mesh":[],"locations_count":5,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2020.00055","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2020.00055/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/1036feadbbd048c0a244a6119ad8b3e0","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":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://europepmc.org/articles/pmc7338892","pdf_url":"https://europepmc.org/articles/pmc7338892?pdf=render","source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":["European Bioinformatics Institute"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338892","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32694989","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_indexed_in_scopus":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":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3389/fncom.2020.00055","pdf_url":"https://www.frontiersin.org/articles/10.3389/fncom.2020.00055/pdf","source":{"id":"https://openalex.org/S19778766","display_name":"Frontiers in Computational Neuroscience","issn_l":"1662-5188","issn":["1662-5188"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320307102","funder_display_name":"Intel Corporation","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W1488435683","https://openalex.org/W1503282170","https://openalex.org/W1555711139","https://openalex.org/W1967324141","https://openalex.org/W1975077471","https://openalex.org/W2001600470","https://openalex.org/W2006814548","https://openalex.org/W2008817973","https://openalex.org/W2009642296","https://openalex.org/W2026295629","https://openalex.org/W2027968420","https://openalex.org/W2035774707","https://openalex.org/W2047405616","https://openalex.org/W2049252044","https://openalex.org/W2057426891","https://openalex.org/W2110016065","https://openalex.org/W2110323906","https://openalex.org/W2131329059","https://openalex.org/W2135726080","https://openalex.org/W2140885691","https://openalex.org/W2146655366","https://openalex.org/W2153677638","https://openalex.org/W2160287869","https://openalex.org/W2164649534","https://openalex.org/W2169548727","https://openalex.org/W2170503197","https://openalex.org/W2235056388","https://openalex.org/W2432567885","https://openalex.org/W2529004582","https://openalex.org/W2612690371","https://openalex.org/W2736379269","https://openalex.org/W2751166226","https://openalex.org/W2767510709","https://openalex.org/W2894938705","https://openalex.org/W2984607076","https://openalex.org/W3006834685","https://openalex.org/W3007169267","https://openalex.org/W3013104126","https://openalex.org/W3102303919","https://openalex.org/W4212774754","https://openalex.org/W5731987","https://openalex.org/W954230352"],"related_works":["https://openalex.org/W4387164999","https://openalex.org/W3131670725","https://openalex.org/W2389459357","https://openalex.org/W2367413540","https://openalex.org/W2354853260","https://openalex.org/W2334424990","https://openalex.org/W2070623039","https://openalex.org/W2006749424","https://openalex.org/W1991315556","https://openalex.org/W1968846550"],"abstract_inverted_index":{"Normative":[0],"models":[1],"of":[2,11,27,34,57,139,146,174,215,230,246],"neural":[3,36],"computation":[4],"offer":[5],"simplified":[6,226],"yet":[7],"lucid":[8],"mathematical":[9],"descriptions":[10],"murky":[12],"biological":[13,50],"phenomena.":[14],"Previously,":[15],"online":[16,82,127,162],"Principal":[17],"Component":[18],"Analysis":[19,85],"(PCA)":[20],"was":[21],"used":[22],"to":[23],"model":[24,76,144,189],"a":[25,61,77,113,119,140,151,175,190,203,225,233],"network":[26,80,178],"single-compartment":[28],"neurons":[29,51],"accounting":[30],"for":[31,207],"weighted":[32],"summation":[33],"upstream":[35],"activity":[37],"in":[38,49,68,232],"the":[39,55,69,102,106,137,172,213],"soma":[40],"and":[41,94,116,157,183,237],"Hebbian/anti-Hebbian":[42],"synaptic":[43,47,58,184],"learning":[44,185,231],"rules.":[45,186],"However,":[46],"plasticity":[48],"often":[52],"depends":[53],"on":[54],"integration":[56],"currents":[59],"over":[60],"dendritic":[62,96,196],"compartment":[63],"rather":[64],"than":[65,194],"total":[66],"current":[67],"soma.":[70],"Motivated":[71],"by":[72,92,198],"this":[73],"observation,":[74],"we":[75,124,149,188,211],"pyramidal":[78,141,147,176,234],"neuronal":[79],"using":[81],"Canonical":[83],"Correlation":[84],"(CCA).":[86],"Given":[87],"two":[88,195],"related":[89],"datasets":[90],"represented":[91],"distal":[93],"proximal":[95],"inputs,":[97],"CCA":[98,121,154],"projects":[99],"them":[100],"onto":[101],"subspace":[103],"which":[104],"maximizes":[105],"correlation":[107],"between":[108],"their":[109],"projections.":[110],"First,":[111],"adopting":[112],"normative":[114],"approach":[115],"starting":[117],"from":[118,159,202],"single-channel":[120],"objective":[122,155,205],"function,":[123,156],"derive":[125,158],"an":[126,161],"gradient-based":[128,163],"optimization":[129,164],"algorithm":[130,165],"whose":[131,166],"steps":[132,167],"can":[133,168,242],"be":[134,169],"interpreted":[135,170],"as":[136,171],"operation":[138,173,201],"neuron.":[142],"To":[143],"networks":[145,217,241],"neurons,":[148],"introduce":[150],"novel":[152],"multi-channel":[153],"it":[160],"neuron":[177,191,235],"including":[179],"its":[180,200],"architecture,":[181],"dynamics,":[182],"Next,":[187],"with":[192],"more":[193],"compartments":[197],"deriving":[199],"known":[204],"function":[206],"multi-view":[208],"CCA.":[209],"Finally,":[210],"confirm":[212],"functionality":[214],"our":[216,222],"via":[218],"numerical":[219],"simulations.":[220],"Overall,":[221],"work":[223],"presents":[224],"but":[227],"informative":[228],"abstraction":[229],"network,":[236],"demonstrates":[238],"how":[239],"such":[240],"integrate":[243],"multiple":[244],"sources":[245],"inputs.":[247]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3027874610","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2025-01-21T00:23:19.705877","created_date":"2020-05-29"}