{"id":"https://openalex.org/W3199214256","doi":"https://doi.org/10.1371/journal.pcbi.1009366","title":"Slow manifolds within network dynamics encode working memory efficiently and robustly","display_name":"Slow manifolds within network dynamics encode working memory efficiently and robustly","publication_year":2021,"publication_date":"2021-09-15","ids":{"openalex":"https://openalex.org/W3199214256","doi":"https://doi.org/10.1371/journal.pcbi.1009366","mag":"3199214256","pmid":"https://pubmed.ncbi.nlm.nih.gov/34525089"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1009366","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009366","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009366&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.1009366&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071086784","display_name":"Elham Ghazizadeh","orcid":"https://orcid.org/0000-0001-6778-6392"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Elham Ghazizadeh","raw_affiliation_strings":["Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-6778-6392","affiliations":[{"raw_affiliation_string":"Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057893339","display_name":"ShiNung Ching","orcid":"https://orcid.org/0000-0003-4063-7068"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"ShiNung Ching","raw_affiliation_strings":["Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America","Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri, United States of America","Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-4063-7068","affiliations":[{"raw_affiliation_string":"Biomedical Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri, United States of America","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, Missouri, United States of America","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071086784"],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":{"value":3043,"currency":"USD","value_usd":3043},"apc_paid":{"value":3043,"currency":"USD","value_usd":3043},"fwci":1.3708,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.79041776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"17","issue":"9","first_page":"e1009366","last_page":"e1009366"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/attractor","display_name":"Attractor","score":0.7156627774238586},{"id":"https://openalex.org/keywords/working-memory","display_name":"Working memory","score":0.6973235607147217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.689967155456543},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5801947712898254},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5540645122528076},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.5301863551139832},{"id":"https://openalex.org/keywords/network-dynamics","display_name":"Network dynamics","score":0.5138078331947327},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.495442271232605},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.4740293323993683},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.4547606408596039},{"id":"https://openalex.org/keywords/computational-neuroscience","display_name":"Computational neuroscience","score":0.4233395457267761},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.42298081517219543},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4163973033428192},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41396409273147583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38005518913269043},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.19042715430259705},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18325534462928772},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13594359159469604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10294142365455627}],"concepts":[{"id":"https://openalex.org/C164380108","wikidata":"https://www.wikidata.org/wiki/Q507187","display_name":"Attractor","level":2,"score":0.7156627774238586},{"id":"https://openalex.org/C21963081","wikidata":"https://www.wikidata.org/wiki/Q11337567","display_name":"Working memory","level":3,"score":0.6973235607147217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689967155456543},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5801947712898254},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5540645122528076},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.5301863551139832},{"id":"https://openalex.org/C123757187","wikidata":"https://www.wikidata.org/wiki/Q9195957","display_name":"Network dynamics","level":2,"score":0.5138078331947327},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.495442271232605},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.4740293323993683},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.4547606408596039},{"id":"https://openalex.org/C15286952","wikidata":"https://www.wikidata.org/wiki/Q8037925","display_name":"Computational neuroscience","level":2,"score":0.4233395457267761},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.42298081517219543},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4163973033428192},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41396409273147583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38005518913269043},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.19042715430259705},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18325534462928772},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13594359159469604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10294142365455627},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","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":"D000200","descriptor_name":"Action Potentials","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","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":"D003198","descriptor_name":"Computer Simulation","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":"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":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008570","descriptor_name":"Memory, Short-Term","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"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":"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":"D009474","descriptor_name":"Neurons","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017711","descriptor_name":"Nonlinear Dynamics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1009366","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009366","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009366&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:34525089","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34525089","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":"Journal Article"},{"id":"pmh:oai:europepmc.org:7365280","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC8475983","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8475983","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8475983","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":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:2f274d172787454d833548af91935355","is_oa":true,"landing_page_url":"https://doaj.org/article/2f274d172787454d833548af91935355","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":"PLoS Computational Biology, Vol 17, Iss 9, p e1009366 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1009366","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009366","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009366&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":[{"display_name":"Decent work and economic growth","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G2006878528","display_name":null,"funder_award_id":"R01-EY-012135","funder_id":"https://openalex.org/F4320337350","funder_display_name":"National Eye Institute"},{"id":"https://openalex.org/G6119342358","display_name":"Efficient resource allocation and information retention in working memory circuits","funder_award_id":"1r01eb028154-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G6120051850","display_name":"CAREER: System Theoretic Methods for Understanding the Dynamics of Cognition","funder_award_id":"1653589","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7378411676","display_name":null,"funder_award_id":"R01 EB028154","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337350","display_name":"National Eye Institute","ror":"https://ror.org/03wkg3b53"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3199214256.pdf","grobid_xml":"https://content.openalex.org/works/W3199214256.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1939596644","https://openalex.org/W1952419631","https://openalex.org/W1968073393","https://openalex.org/W1977906889","https://openalex.org/W1989512479","https://openalex.org/W1991630689","https://openalex.org/W2027802883","https://openalex.org/W2062009383","https://openalex.org/W2072804750","https://openalex.org/W2073895917","https://openalex.org/W2076919983","https://openalex.org/W2094681793","https://openalex.org/W2099231026","https://openalex.org/W2101620490","https://openalex.org/W2102701721","https://openalex.org/W2103780005","https://openalex.org/W2124780821","https://openalex.org/W2128084896","https://openalex.org/W2167809052","https://openalex.org/W2170434170","https://openalex.org/W2172115975","https://openalex.org/W2181792687","https://openalex.org/W2270694305","https://openalex.org/W2275929617","https://openalex.org/W2280725856","https://openalex.org/W2295845209","https://openalex.org/W2414006382","https://openalex.org/W2562471898","https://openalex.org/W2600919610","https://openalex.org/W2617273987","https://openalex.org/W2617413315","https://openalex.org/W2618100165","https://openalex.org/W2787520207","https://openalex.org/W2805837749","https://openalex.org/W2871060501","https://openalex.org/W2883380036","https://openalex.org/W2898524098","https://openalex.org/W2908124316","https://openalex.org/W2911953089","https://openalex.org/W2912160998","https://openalex.org/W2913951325","https://openalex.org/W2924003502","https://openalex.org/W2949369413","https://openalex.org/W2950043157","https://openalex.org/W2952395051","https://openalex.org/W2963569887","https://openalex.org/W2968924973","https://openalex.org/W2971278662","https://openalex.org/W2982476418","https://openalex.org/W3005088403","https://openalex.org/W3005829357","https://openalex.org/W3038608661","https://openalex.org/W3102759606","https://openalex.org/W3102960856","https://openalex.org/W3108723475"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W2956232772","https://openalex.org/W4205753683","https://openalex.org/W2966267229","https://openalex.org/W2272954244","https://openalex.org/W2015574391","https://openalex.org/W2481732574"],"abstract_inverted_index":{"Working":[0],"memory":[1,61,115,171],"is":[2],"a":[3,29,59,91,109],"cognitive":[4],"function":[5,172],"involving":[6],"the":[7,70,88,103,177],"storage":[8],"and":[9,43,63,155],"manipulation":[10],"of":[11,17,37,46,53,90,148,179],"latent":[12],"information":[13],"over":[14,135],"brief":[15],"intervals":[16],"time,":[18],"thus":[19],"making":[20],"it":[21],"crucial":[22],"for":[23],"context-dependent":[24],"computation.":[25],"Here,":[26],"we":[27,75,86],"use":[28],"top-down":[30],"modeling":[31],"approach":[32],"to":[33,108,119,161],"examine":[34],"network-level":[35],"mechanisms":[36,81,120],"working":[38,60,170],"memory,":[39],"an":[40],"enigmatic":[41],"issue":[42],"central":[44],"topic":[45],"study":[47],"in":[48,93,102,121,146],"neuroscience.":[49],"We":[50],"optimize":[51],"thousands":[52],"recurrent":[54],"rate-based":[55],"neural":[56,180],"networks":[57,131],"on":[58,69],"task":[62],"then":[64],"perform":[65],"dynamical":[66,80],"systems":[67],"analysis":[68],"ensuing":[71],"optimized":[72],"networks,":[73],"wherein":[74],"find":[76],"that":[77],"four":[78],"distinct":[79],"can":[82],"emerge.":[83],"In":[84,117],"particular,":[85],"show":[87],"prevalence":[89],"mechanism":[92],"which":[94,122],"memories":[95,123],"are":[96,124,143,157],"encoded":[97,126,175],"along":[98],"slow":[99],"stable":[100,128],"manifolds":[101],"network":[104],"state":[105],"space,":[106],"leading":[107],"phasic":[110],"neuronal":[111],"activation":[112],"profile":[113],"during":[114],"periods.":[116],"contrast":[118],"directly":[125],"at":[127],"attractors,":[129],"these":[130],"naturally":[132],"forget":[133],"stimuli":[134],"time.":[136],"Despite":[137],"this":[138],"seeming":[139],"functional":[140],"disadvantage,":[141],"they":[142,150],"more":[144,159],"efficient":[145],"terms":[147],"how":[149,169],"leverage":[151],"their":[152],"attractor":[153],"landscape":[154],"paradoxically,":[156],"considerably":[158],"robust":[160],"noise.":[162],"Our":[163],"results":[164],"provide":[165],"new":[166],"hypotheses":[167],"regarding":[168],"may":[173],"be":[174],"within":[176],"dynamics":[178],"circuits.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
