{"id":"https://openalex.org/W3113454311","doi":"https://doi.org/10.1371/journal.pcbi.1008526","title":"Measuring spectrally-resolved information transfer","display_name":"Measuring spectrally-resolved information transfer","publication_year":2020,"publication_date":"2020-12-28","ids":{"openalex":"https://openalex.org/W3113454311","doi":"https://doi.org/10.1371/journal.pcbi.1008526","mag":"3113454311","pmid":"https://pubmed.ncbi.nlm.nih.gov/33370259"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1008526","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1008526","pdf_url":null,"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://doi.org/10.1371/journal.pcbi.1008526","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086333795","display_name":"Edoardo Pinzuti","orcid":"https://orcid.org/0000-0002-5113-723X"},"institutions":[{"id":"https://openalex.org/I4210093049","display_name":"Leibniz Institute for Resilience Research","ror":"https://ror.org/00q5t0010","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210093049"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Edoardo Pinzuti","raw_affiliation_strings":["Leibniz Institute for Resilience Research, Mainz, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5113-723X","affiliations":[{"raw_affiliation_string":"Leibniz Institute for Resilience Research, Mainz, Germany","institution_ids":["https://openalex.org/I4210093049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004728957","display_name":"Patricia Wollstadt","orcid":"https://orcid.org/0000-0002-7105-5207"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patricia Wollstadt","raw_affiliation_strings":["MEG Unit, Brain Imaging Center, Goethe University, Frankfurt/Main, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7105-5207","affiliations":[{"raw_affiliation_string":"MEG Unit, Brain Imaging Center, Goethe University, Frankfurt/Main, Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057426272","display_name":"Aaron J. Gutknecht","orcid":"https://orcid.org/0000-0002-2704-6944"},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Aaron Gutknecht","raw_affiliation_strings":["Campus Institute for Dynamics of Biological Networks, Georg August University, G\u00f6ttingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Campus Institute for Dynamics of Biological Networks, Georg August University, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113009103","display_name":"Oliver T\u00fcscher","orcid":null},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]},{"id":"https://openalex.org/I4210093049","display_name":"Leibniz Institute for Resilience Research","ror":"https://ror.org/00q5t0010","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I4210093049"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Oliver T\u00fcscher","raw_affiliation_strings":["Department of Psychiatry and Psychotherapy, Johannes Gutenberg University of Mainz, Mainz, Germany","Leibniz Institute for Resilience Research, Mainz, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry and Psychotherapy, Johannes Gutenberg University of Mainz, Mainz, Germany","institution_ids":["https://openalex.org/I197323543"]},{"raw_affiliation_string":"Leibniz Institute for Resilience Research, Mainz, Germany","institution_ids":["https://openalex.org/I4210093049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067563991","display_name":"Michael Wibral","orcid":"https://orcid.org/0000-0001-8010-5862"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]},{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Wibral","raw_affiliation_strings":["Campus Institute for Dynamics of Biological Networks, Georg August University, G\u00f6ttingen, Germany","MEG Unit, Brain Imaging Center, Goethe University, Frankfurt/Main, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8010-5862","affiliations":[{"raw_affiliation_string":"Campus Institute for Dynamics of Biological Networks, Georg August University, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]},{"raw_affiliation_string":"MEG Unit, Brain Imaging Center, Goethe University, Frankfurt/Main, Germany","institution_ids":["https://openalex.org/I114090438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086333795"],"corresponding_institution_ids":["https://openalex.org/I4210093049"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":2.0467,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87239447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"12","first_page":"e1008526","last_page":"e1008526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9997000098228455,"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":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9933000206947327,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6845616698265076},{"id":"https://openalex.org/keywords/transfer-entropy","display_name":"Transfer entropy","score":0.6764220595359802},{"id":"https://openalex.org/keywords/magnetoencephalography","display_name":"Magnetoencephalography","score":0.628453254699707},{"id":"https://openalex.org/keywords/information-transfer","display_name":"Information transfer","score":0.5942445397377014},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5136894583702087},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5022597312927246},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.4727538526058197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46536993980407715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3651714324951172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.363710880279541},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.19810280203819275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15194976329803467},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15004655718803406},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.123788982629776},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1052948534488678},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.10147634148597717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6845616698265076},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.6764220595359802},{"id":"https://openalex.org/C556910895","wikidata":"https://www.wikidata.org/wiki/Q384188","display_name":"Magnetoencephalography","level":3,"score":0.628453254699707},{"id":"https://openalex.org/C8854915","wikidata":"https://www.wikidata.org/wiki/Q4350200","display_name":"Information transfer","level":2,"score":0.5942445397377014},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5136894583702087},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5022597312927246},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.4727538526058197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46536993980407715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3651714324951172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.363710880279541},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.19810280203819275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15194976329803467},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15004655718803406},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.123788982629776},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1052948534488678},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.10147634148597717},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[{"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":"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":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005289","descriptor_name":"Ferrets","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":"D015225","descriptor_name":"Magnetoencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015225","descriptor_name":"Magnetoencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015225","descriptor_name":"Magnetoencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015225","descriptor_name":"Magnetoencephalography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049490","descriptor_name":"Systems Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049490","descriptor_name":"Systems Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049490","descriptor_name":"Systems Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049490","descriptor_name":"Systems Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D058067","descriptor_name":"Wavelet Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.1371/journal.pcbi.1008526","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1008526","pdf_url":null,"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:33370259","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33370259","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:frl.publisso.de:frl:6428884","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7793276","pdf_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008526#sec044","source":{"id":"https://openalex.org/S4377196269","display_name":"PUBLISSO (German National Library of Medicine)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210112663","host_organization_name":"ZB MED - Information Centre for Life Sciences","host_organization_lineage":["https://openalex.org/I4210112663"],"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 Computational Biology, 16(12):e1008526","raw_type":"Zeitschriftenartikel"},{"id":"pmh:oai:RePEc:plo:pcbi00:1008526","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1008526","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:8806150806fd456997891892f05be2ce","is_oa":true,"landing_page_url":"https://doaj.org/article/8806150806fd456997891892f05be2ce","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 16, Iss 12, p e1008526 (2020)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6745474","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7793276","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":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1008526","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1008526","pdf_url":null,"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/G5493201303","display_name":null,"funder_award_id":"SFB 1193, C04","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"},{"id":"https://openalex.org/G6085976132","display_name":null,"funder_award_id":"SFB 1193","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320334763","display_name":"Leibniz-Gemeinschaft","ror":"https://ror.org/01n6r0e97"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W145994340","https://openalex.org/W189349518","https://openalex.org/W563793012","https://openalex.org/W1549386224","https://openalex.org/W1582484699","https://openalex.org/W1584566927","https://openalex.org/W1607114662","https://openalex.org/W1749266580","https://openalex.org/W1812628688","https://openalex.org/W1932088538","https://openalex.org/W1987394457","https://openalex.org/W1997976387","https://openalex.org/W2000634506","https://openalex.org/W2016918012","https://openalex.org/W2040043309","https://openalex.org/W2041782669","https://openalex.org/W2067058552","https://openalex.org/W2069574758","https://openalex.org/W2070115517","https://openalex.org/W2078501940","https://openalex.org/W2079656335","https://openalex.org/W2081988641","https://openalex.org/W2089783325","https://openalex.org/W2090764388","https://openalex.org/W2092939357","https://openalex.org/W2096629297","https://openalex.org/W2100387146","https://openalex.org/W2118604203","https://openalex.org/W2121592473","https://openalex.org/W2123346926","https://openalex.org/W2127389037","https://openalex.org/W2135894974","https://openalex.org/W2142858796","https://openalex.org/W2154607623","https://openalex.org/W2162256626","https://openalex.org/W2164223530","https://openalex.org/W2210678500","https://openalex.org/W2266190535","https://openalex.org/W2473094524","https://openalex.org/W2486848538","https://openalex.org/W2585562928","https://openalex.org/W2586079980","https://openalex.org/W2606434348","https://openalex.org/W2609728307","https://openalex.org/W2766601113","https://openalex.org/W2768670984","https://openalex.org/W2801150515","https://openalex.org/W2808553959","https://openalex.org/W2811445837","https://openalex.org/W2903619421","https://openalex.org/W2915809455","https://openalex.org/W2949633842","https://openalex.org/W2951290162","https://openalex.org/W2952141781","https://openalex.org/W2952311516","https://openalex.org/W2981585868","https://openalex.org/W3005100377","https://openalex.org/W3080812810","https://openalex.org/W3082704673","https://openalex.org/W3098439442","https://openalex.org/W3101542317","https://openalex.org/W3105841952","https://openalex.org/W3141940925","https://openalex.org/W3179685825","https://openalex.org/W3186346625","https://openalex.org/W4298352105"],"related_works":["https://openalex.org/W2050334647","https://openalex.org/W3598568","https://openalex.org/W1999409691","https://openalex.org/W1595266364","https://openalex.org/W3032013634","https://openalex.org/W1966203994","https://openalex.org/W2492100837","https://openalex.org/W4224256769","https://openalex.org/W2055254734","https://openalex.org/W348369544"],"abstract_inverted_index":{"Information":[0],"transfer,":[1],"measured":[2],"by":[3],"transfer":[4,23,55,102,139],"entropy,":[5],"is":[6,14,42,56,140],"a":[7,33,49,62,78,141,216],"key":[8],"component":[9],"of":[10,21,32,53,95,101,108,125,157,165,220],"distributed":[11,29,40],"computation.":[12],"It":[13],"therefore":[15],"important":[16],"to":[17,26,44,69,119,151,174,180,205,211,246],"understand":[18],"the":[19,28,84,93,99,109,123,128,155,163,186,231,236,254],"pattern":[20],"information":[22,54,76,129,138,143,194,222,240,255],"in":[24,36,77,98,127,185,196],"order":[25],"unravel":[27],"computational":[30],"algorithms":[31],"system.":[34],"Since":[35],"many":[37],"natural":[38],"systems":[39],"computation":[41,100],"thought":[43],"rely":[45],"on":[46,83,168],"rhythmic":[47],"processes":[48],"frequency":[50],"resolved":[51,150],"measure":[52],"highly":[57],"desirable.":[58],"Here,":[59],"we":[60,161,191,233],"present":[61],"novel":[63],"algorithm,":[64],"and":[65,74,104,153,171,179,210],"its":[66],"efficient":[67],"implementation,":[68],"identify":[70],"separately":[71],"frequencies":[72,202,209,212,243,258],"sending":[73],"receiving":[75],"network.":[79],"Our":[80],"approach":[81,113],"relies":[82],"invertible":[85],"maximum":[86],"overlap":[87],"discrete":[88],"wavelet":[89],"transform":[90],"(MODWT)":[91],"for":[92],"creation":[94],"surrogate":[96],"data":[97,170],"entropy":[103],"entirely":[105],"avoids":[106,115],"filtering":[107,126],"original":[110],"signals.":[111],"The":[112],"thereby":[114],"well-known":[116],"problems":[117],"due":[118],"phase":[120],"shifts":[121],"or":[122],"ineffectiveness":[124],"theoretic":[130],"setting.":[131],"We":[132],"also":[133],"show":[134,234],"that":[135,146,224,235],"measuring":[136],"frequency-resolved":[137],"partial":[142],"decomposition":[144],"problem":[145],"cannot":[147],"be":[148],"fully":[149],"date":[152],"discuss":[154],"implications":[156],"this":[158],"issue.":[159],"Last,":[160],"evaluate":[162],"performance":[164],"our":[166],"algorithm":[167],"simulated":[169],"apply":[172],"it":[173],"human":[175,189],"magnetoencephalography":[176],"(MEG)":[177],"recordings":[178,184],"local":[181],"field":[182],"potential":[183],"ferret.":[187],"In":[188,230],"MEG":[190],"demonstrate":[192],"top-down":[193],"flow":[195],"temporal":[197],"cortex":[198,238,249],"from":[199],"very":[200],"high":[201,208,257],"(above":[203],"100Hz)":[204],"both":[206],"similarly":[207],"around":[213],"20Hz,":[214],"i.e.":[215],"complex":[217],"spectral":[218],"configuration":[219],"cortical":[221],"transmission":[223],"has":[225],"not":[226],"been":[227],"described":[228],"before.":[229],"ferret":[232],"prefrontal":[237],"sends":[239],"at":[241,256],"low":[242],"(4-8":[244],"Hz)":[245],"early":[247],"visual":[248],"(V1),":[250],"while":[251],"V1":[252],"receives":[253],"(>":[259],"125":[260],"Hz).":[261]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
