{"id":"https://openalex.org/W2163673653","doi":"https://doi.org/10.1186/1471-2202-14-s1-p214","title":"Noise-induced anti-correlated slow fluctuations in networks of neural populations","display_name":"Noise-induced anti-correlated slow fluctuations in networks of neural populations","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2163673653","doi":"https://doi.org/10.1186/1471-2202-14-s1-p214","mag":"2163673653"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2202-14-s1-p214","doi":"https://doi.org/10.1186/1471-2202-14-s1-p214","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2202-14-s1-p214","pdf_url":"https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/1471-2202-14-S1-P214","source":{"id":"https://openalex.org/S82595977","display_name":"BMC Neuroscience","issn_l":"1471-2202","issn":["1471-2202"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Neuroscience","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/1471-2202-14-S1-P214","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050198477","display_name":"Dongmyeong Lee","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongmyeong Lee","raw_affiliation_strings":["Department of Physics, Pohang University of Science and Technology, Pohang, 790-784, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, Pohang University of Science and Technology, Pohang, 790-784, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451556","display_name":"Seunghwan Kim","orcid":"https://orcid.org/0000-0002-0563-3902","observed_orcids":["https://orcid.org/0000-0002-0563-3902","https://orcid.org/0009-0008-4649-572X"]},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seunghwan Kim","raw_affiliation_strings":["Department of Physics, Pohang University of Science and Technology, Pohang, 790-784, Republic of Korea","Institute for Edge of Theoretical Science, Pohang University of Science and Technology, Pohang, 790-784, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics, Pohang University of Science and Technology, Pohang, 790-784, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Institute for Edge of Theoretical Science, Pohang University of Science and Technology, Pohang, 790-784, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103203942","display_name":"Tae-Wook Ko","orcid":"https://orcid.org/0000-0002-2852-7184","observed_orcids":["https://orcid.org/0000-0002-2852-7184"]},"institutions":[{"id":"https://openalex.org/I4210158432","display_name":"National Institute for Mathematical Sciences","ror":"https://ror.org/04n7py080","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210158432"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Tae-Wook Ko","raw_affiliation_strings":["National Institute for Mathematical Sciences, Daejeon, 305-811, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute for Mathematical Sciences, Daejeon, 305-811, Republic of Korea","institution_ids":["https://openalex.org/I4210158432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103203942"],"corresponding_institution_ids":["https://openalex.org/I4210158432"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17514327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":"S1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.7753999829292297,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.7753999829292297,"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/T10581","display_name":"Neural dynamics and brain function","score":0.21549999713897705,"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/T11513","display_name":"stochastic dynamics and bifurcation","score":0.002099999925121665,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/slow-fluctuations","display_name":"slow fluctuations","score":0.6230000257492065},{"id":"https://openalex.org/keywords/resting-state-brain","display_name":"resting-state brain","score":0.41499999165534973},{"id":"https://openalex.org/keywords/neuronal-populations","display_name":"neuronal populations","score":0.5299999713897705},{"id":"https://openalex.org/keywords/up-and-down-states","display_name":"up-down states","score":0.7490000128746033},{"id":"https://openalex.org/keywords/noise-induced-transitions","display_name":"noise-induced transitions","score":0.6600000262260437},{"id":"https://openalex.org/keywords/wilson-cowan-model","display_name":"Wilson-Cowan model","score":0.8849999904632568},{"id":"https://openalex.org/keywords/excitatory-inhibitory-networks","display_name":"excitatory-inhibitory networks","score":0.7120000123977661},{"id":"https://openalex.org/keywords/bold-signal","display_name":"BOLD signal","score":0.7820000052452087},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"functional connectivity","score":0.9290000200271606},{"id":"https://openalex.org/keywords/modular-networks","display_name":"modular networks","score":0.7570000290870667},{"id":"https://openalex.org/keywords/random-networks","display_name":"random networks","score":0.656000018119812},{"id":"https://openalex.org/keywords/alternative-stable-states","display_name":"alternative stable states","score":0.7059999704360962}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6292381286621094},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.6179623603820801},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.5751413106918335},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5000054836273193},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4990835189819336},{"id":"https://openalex.org/C112592302","wikidata":"https://www.wikidata.org/wiki/Q1207387","display_name":"Excitatory postsynaptic potential","level":3,"score":0.4890383183956146},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.47705212235450745},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4732796847820282},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4348674416542053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42164111137390137},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4072694182395935},{"id":"https://openalex.org/C17077164","wikidata":"https://www.wikidata.org/wiki/Q1185869","display_name":"Inhibitory postsynaptic potential","level":2,"score":0.38769984245300293},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26520752906799316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2454054057598114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17591255903244019},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/1471-2202-14-s1-p214","doi":"https://doi.org/10.1186/1471-2202-14-s1-p214","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2202-14-s1-p214","pdf_url":"https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/1471-2202-14-S1-P214","source":{"id":"https://openalex.org/S82595977","display_name":"BMC Neuroscience","issn_l":"1471-2202","issn":["1471-2202"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Neuroscience","raw_type":"journal-article"},{"id":"pmh:oai:europepmc.org:2704454","doi":null,"is_oa":true,"landing_page_url":"http://europepmc.org/articles/PMC3704373","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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:3704373","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3704373","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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2202-14-s1-p214","doi":"https://doi.org/10.1186/1471-2202-14-s1-p214","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2202-14-s1-p214","pdf_url":"https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/1471-2202-14-S1-P214","source":{"id":"https://openalex.org/S82595977","display_name":"BMC Neuroscience","issn_l":"1471-2202","issn":["1471-2202"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322349","display_name":"Ministry of Education, Science and Technology","ror":"https://ror.org/01p262204"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2163673653.pdf","grobid_xml":"https://content.openalex.org/works/W2163673653.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W316919195","https://openalex.org/W1760829075","https://openalex.org/W1927501767","https://openalex.org/W1968187292","https://openalex.org/W1970695058","https://openalex.org/W2009494091","https://openalex.org/W2016354087","https://openalex.org/W2050943404","https://openalex.org/W2117663940","https://openalex.org/W2149153247"],"related_works":["https://openalex.org/W7095141009","https://openalex.org/W2335414735","https://openalex.org/W2005644553","https://openalex.org/W1969393311","https://openalex.org/W2157534028","https://openalex.org/W2052024496","https://openalex.org/W2095196515","https://openalex.org/W177569651","https://openalex.org/W3201884881","https://openalex.org/W1992608194"],"abstract_inverted_index":{"Coherent":[0],"spontaneous":[1],"fluctuations":[2,33,56,214],"(<":[3],"0.1Hz)":[4],"in":[5,119,125,225,239],"fMRI":[6],"blood-oxygen-level-dependent":[7],"(BOLD)":[8],"signal":[9,179],"have":[10,115,203],"been":[11],"observed":[12,224],"for":[13],"a":[14,49,76,159],"resting":[15],"state":[16,95,99,143],"of":[17,28,54,60,78,89,132],"the":[18,52,58,61,65,68,73,90,136,169,181,198,226,236,242],"human":[19],"brain":[20,29,74,84,108],"[1-4].":[21],"Functional":[22],"connectivity":[23,238],"analysis":[24],"has":[25],"identified":[26],"clusters":[27],"areas":[30,42,85],"exhibiting":[31],"correlated":[32],"[1-4]":[34],"and":[35,40,57,67,86,96,101,146,165,192,211,215,231],"anti-correlation":[36,69],"relationship":[37],"between":[38,107],"task-positive":[39],"task-negative":[41],"[2-4].":[43],"In":[44],"this":[45,112,147,156],"study,":[46],"we":[47,71,195],"propose":[48],"model":[50,161,184],"explaining":[51],"generation":[53],"slow":[55,152,213],"organization":[59,217],"clusters.":[62,220],"Based":[63],"on":[64],"slowness":[66],"relationship,":[70],"describe":[72],"as":[75,83,150],"network":[77],"neural":[79,170,173],"populations":[80],"which":[81,120,207],"act":[82],"prefer":[87],"one":[88,141],"two":[91],"states,":[92],"UP":[93],"(active)":[94],"DOWN":[97],"(quiescent)":[98],"[5],":[100],"consider":[102],"excitation-inducing":[103],"or":[104,128],"inhibition-inducing":[105],"connections":[106],"areas.":[109],"Without":[110],"noise,":[111],"system":[113,137,199],"can":[114,123,134,202],"multiple":[116,204],"stable":[117,142,205],"states":[118,206],"each":[121],"area":[122],"be":[124],"UP,":[126],"DOWN,":[127],"intermediate":[129],"state.":[130],"Presence":[131],"noise":[133,201],"make":[135],"slowly":[138],"move":[139],"from":[140],"to":[144],"other":[145],"is":[148,175],"manifested":[149],"organized":[151],"fluctuations.":[153],"We":[154,234],"implement":[155],"mechanism":[157],"using":[158],"Wilson-Cowan":[160],"[6,7]":[162],"with":[163,189,228,241],"excitatory":[164],"inhibitory":[166],"neurons":[167],"constituting":[168],"populations.":[171],"The":[172],"activity":[174],"translated":[176],"into":[177],"BOLD":[178],"through":[180],"Balloon-Windkessel":[182],"hemodynamic":[183],"[8,9].":[185],"With":[186],"various":[187,216],"networks":[188,230],"2,":[190],"3,":[191],"4":[193],"nodes,":[194],"show":[196],"that":[197],"without":[200],"are":[208,223],"fixed":[209],"points,":[210],"observe":[212],"including":[218],"anti-correlated":[219],"Similar":[221],"behaviors":[222],"cases":[227],"random":[229],"modular":[232],"networks.":[233,244],"analyze":[235],"functional":[237],"connection":[240],"underlying":[243]},"counts_by_year":[],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2016-06-24T00:00:00"}
