{"id":"https://openalex.org/W2140699135","doi":"https://doi.org/10.1371/journal.pcbi.1000404","title":"Recurrent Network Models for Perfect Temporal Integration of Fluctuating Correlated Inputs","display_name":"Recurrent Network Models for Perfect Temporal Integration of Fluctuating Correlated Inputs","publication_year":2009,"publication_date":"2009-06-04","ids":{"openalex":"https://openalex.org/W2140699135","doi":"https://doi.org/10.1371/journal.pcbi.1000404","mag":"2140699135","pmid":"https://pubmed.ncbi.nlm.nih.gov/19503816"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1000404","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1000404","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000404&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000404&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001188770","display_name":"Hiroshi Okamoto","orcid":"https://orcid.org/0000-0003-2807-5277"},"institutions":[{"id":"https://openalex.org/I15009632","display_name":"Fuji Xerox (Japan)","ror":"https://ror.org/02w528w58","country_code":"JP","type":"company","lineage":["https://openalex.org/I15009632"]},{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroshi Okamoto","raw_affiliation_strings":["Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Wako, Saitama, Japan. hiroshi.okamoto@fujixerox.co.jp","Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Wako, Saitama, Japan","Corporate Research & Technology Development Group, Fuji Xerox, Ashigarakami-gun, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Wako, Saitama, Japan. hiroshi.okamoto@fujixerox.co.jp","institution_ids":["https://openalex.org/I2800939219"]},{"raw_affiliation_string":"Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Wako, Saitama, Japan","institution_ids":["https://openalex.org/I2800939219"]},{"raw_affiliation_string":"Corporate Research & Technology Development Group, Fuji Xerox, Ashigarakami-gun, Kanagawa, Japan","institution_ids":["https://openalex.org/I15009632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073758227","display_name":"Tomoki Fukai","orcid":"https://orcid.org/0000-0001-6977-5638"},"institutions":[{"id":"https://openalex.org/I2800939219","display_name":"RIKEN Center for Brain Science","ror":"https://ror.org/04j1n1c04","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800939219","https://openalex.org/I4210110652"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomoki Fukai","raw_affiliation_strings":["Department of Complexity Science and Engineering, University of Tokyo, Kashiwa, Chiba, Japan","Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Wako, Saitama, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Complexity Science and Engineering, University of Tokyo, Kashiwa, Chiba, Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Laboratory for Neural Circuit Theory, RIKEN Brain Science Institute, Wako, Saitama, Japan","institution_ids":["https://openalex.org/I2800939219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001188770","https://openalex.org/A5073758227"],"corresponding_institution_ids":["https://openalex.org/I15009632","https://openalex.org/I2800939219","https://openalex.org/I74801974"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.5627,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.67690254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":"6","first_page":"e1000404","last_page":"e1000404"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":1.0,"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":1.0,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9977999925613403,"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":0.9962999820709229,"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/integrator","display_name":"Integrator","score":0.746565580368042},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.6183646321296692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6066902875900269},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.562359094619751},{"id":"https://openalex.org/keywords/information-integration","display_name":"Information integration","score":0.4711246192455292},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46377888321876526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2782096862792969},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19723010063171387},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.10325184464454651}],"concepts":[{"id":"https://openalex.org/C79518650","wikidata":"https://www.wikidata.org/wiki/Q2081431","display_name":"Integrator","level":3,"score":0.746565580368042},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.6183646321296692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6066902875900269},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.562359094619751},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.4711246192455292},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46377888321876526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2782096862792969},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19723010063171387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.10325184464454651},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002540","descriptor_name":"Cerebral Cortex","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D002540","descriptor_name":"Cerebral Cortex","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D002540","descriptor_name":"Cerebral Cortex","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D002540","descriptor_name":"Cerebral Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D002540","descriptor_name":"Cerebral Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D002540","descriptor_name":"Cerebral Cortex","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009415","descriptor_name":"Nerve Net","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013569","descriptor_name":"Synapses","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013569","descriptor_name":"Synapses","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013569","descriptor_name":"Synapses","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013995","descriptor_name":"Time","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013995","descriptor_name":"Time","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013995","descriptor_name":"Time","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055366","descriptor_name":"Synaptic Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055366","descriptor_name":"Synaptic Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055366","descriptor_name":"Synaptic Potentials","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1000404","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1000404","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000404&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},{"id":"pmid:19503816","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19503816","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.654.937","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.654.937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://nct.brain.riken.jp/publications/200902_OkamotoFukai_PLoS2009.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:1598c592ec1f4c18be7bacae2894db6f","is_oa":true,"landing_page_url":"https://doaj.org/article/1598c592ec1f4c18be7bacae2894db6f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 5, Iss 6, p e1000404 (2009)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:1502517","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2685482","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/147384","is_oa":true,"landing_page_url":"https://figshare.com/articles/Recurrent_Network_Models_for_Perfect_Temporal_Integration_of_Fluctuating_Correlated_Inputs/147384","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"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":"","raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1000404","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1000404","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000404&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6267471473","display_name":null,"funder_award_id":"Grant-in-Aid","funder_id":"https://openalex.org/F4320320912","funder_display_name":"Ministry of Education, Culture, Sports, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2140699135.pdf","grobid_xml":"https://content.openalex.org/works/W2140699135.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W110726378","https://openalex.org/W1488451997","https://openalex.org/W1608745771","https://openalex.org/W1740170058","https://openalex.org/W1976065213","https://openalex.org/W1979224386","https://openalex.org/W1979942203","https://openalex.org/W1991432474","https://openalex.org/W1991742821","https://openalex.org/W1992230893","https://openalex.org/W1994366309","https://openalex.org/W1997173667","https://openalex.org/W2001860569","https://openalex.org/W2009708711","https://openalex.org/W2012493789","https://openalex.org/W2012704126","https://openalex.org/W2013278097","https://openalex.org/W2017444605","https://openalex.org/W2022995207","https://openalex.org/W2023699349","https://openalex.org/W2040080493","https://openalex.org/W2040663063","https://openalex.org/W2044719823","https://openalex.org/W2047807449","https://openalex.org/W2050741203","https://openalex.org/W2052296894","https://openalex.org/W2056079971","https://openalex.org/W2058491602","https://openalex.org/W2064286037","https://openalex.org/W2073512103","https://openalex.org/W2079150153","https://openalex.org/W2080632618","https://openalex.org/W2083159311","https://openalex.org/W2095984446","https://openalex.org/W2100438317","https://openalex.org/W2101254766","https://openalex.org/W2102787760","https://openalex.org/W2102972654","https://openalex.org/W2103570990","https://openalex.org/W2106774030","https://openalex.org/W2122186032","https://openalex.org/W2123085982","https://openalex.org/W2123383560","https://openalex.org/W2125619691","https://openalex.org/W2125733184","https://openalex.org/W2126978206","https://openalex.org/W2133298009","https://openalex.org/W2136582516","https://openalex.org/W2144095870","https://openalex.org/W2145036121","https://openalex.org/W2146766016","https://openalex.org/W2147238273","https://openalex.org/W2156985666","https://openalex.org/W2160306025","https://openalex.org/W2166507263","https://openalex.org/W2166740761","https://openalex.org/W2168648043","https://openalex.org/W2168788479","https://openalex.org/W2168815228","https://openalex.org/W2169601885","https://openalex.org/W2172274087"],"related_works":["https://openalex.org/W2366352762","https://openalex.org/W2613964090","https://openalex.org/W2380425739","https://openalex.org/W2081322886","https://openalex.org/W2349324463","https://openalex.org/W1988313539","https://openalex.org/W2029980887","https://openalex.org/W2027541371","https://openalex.org/W2380535488","https://openalex.org/W2371144154"],"abstract_inverted_index":{"Temporal":[0],"integration":[1,44,54,109,128,134,181],"of":[2,9,27,60,70,74,89,106,115,129,135,138,161,179],"input":[3,98],"is":[4,29,48,55,64,147,191],"essential":[5],"to":[6,31,67,112],"the":[7,36,46,53,58,68,104,113,136,139,158,176],"accumulation":[8],"information":[10,180],"in":[11,118],"various":[12],"cognitive":[13],"and":[14,17,57,154,189],"behavioral":[15],"processes,":[16],"gradually":[18],"increasing":[19],"neuronal":[20,152],"activity,":[21,163],"typically":[22],"occurring":[23],"within":[24],"a":[25,61,85],"range":[26],"seconds,":[28],"considered":[30],"reflect":[32],"such":[33],"computation":[34],"by":[35,45,182],"brain.":[37],"Some":[38],"psychological":[39],"evidence":[40],"suggests":[41],"that":[42,51,92,103,124,175],"temporal":[43,76,108],"brain":[47],"nearly":[49],"perfect,":[50],"is,":[52],"non-leaky,":[56],"output":[59],"neural":[62],"integrator":[63],"accurately":[65],"proportional":[66],"strength":[69],"input.":[71],"Neural":[72],"mechanisms":[73],"perfect":[75],"integration,":[77],"however,":[78],"remain":[79],"largely":[80],"unknown.":[81],"Here,":[82],"we":[83],"propose":[84],"recurrent":[86],"network":[87],"model":[88],"cortical":[90,162,183],"neurons":[91],"perfectly":[93],"integrates":[94],"partially":[95],"correlated,":[96],"irregular":[97,151],"spike":[99,116,155],"trains.":[100],"We":[101,121],"demonstrate":[102],"rate":[105],"this":[107,125],"changes":[110],"proportionately":[111],"probability":[114],"coincidences":[117,156],"synaptic":[119,130,141],"inputs.":[120],"analytically":[122],"prove":[123],"highly":[126],"accurate":[127],"inputs":[131],"emerges":[132],"from":[133],"variance":[137],"fluctuating":[140],"inputs,":[142],"when":[143],"their":[144],"mean":[145],"component":[146],"kept":[148],"constant.":[149],"Highly":[150],"firing":[153],"are":[157],"major":[159],"features":[160,188],"but":[164],"they":[165],"have":[166],"been":[167],"separately":[168],"addressed":[169],"so":[170],"far.":[171],"Our":[172],"results":[173],"suggest":[174],"efficient":[177],"protocol":[178],"networks":[184],"essentially":[185],"requires":[186],"both":[187],"hence":[190],"heterotic.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
