<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Menara T</submitter><funding>United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office</funding><funding>United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research</funding><funding>National Science Foundation</funding><pagination>4721</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9372149</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(1)</volume><pubmed_abstract>Oscillatory activity is ubiquitous in natural and engineered network systems. The interaction scheme underlying interdependent oscillatory components governs the emergence of network-wide patterns of synchrony that regulate and enable complex functions. Yet, understanding, and ultimately harnessing, the structure-function relationship in oscillator networks remains an outstanding challenge of modern science. Here, we address this challenge by presenting a principled method to prescribe exact and robust functional configurations from local network interactions through optimal tuning of the oscillators' parameters. To quantify the behavioral synchrony between coupled oscillators, we introduce the notion of functional pattern, which encodes the pairwise relationships between the oscillators' </pubmed_abstract><journal>Nature communications</journal><pubmed_title>Functional control of oscillator networks.</pubmed_title><pmcid>PMC9372149</pmcid><funding_grant_id>FA9550-19-1-0235</funding_grant_id><funding_grant_id>W911NF1910360</funding_grant_id><funding_grant_id>NCS-FO-1926829</funding_grant_id><pubmed_authors>Baggio G</pubmed_authors><pubmed_authors>Bassett D</pubmed_authors><pubmed_authors>Pasqualetti F</pubmed_authors><pubmed_authors>Menara T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Functional control of oscillator networks.</name><description>Oscillatory activity is ubiquitous in natural and engineered network systems. The interaction scheme underlying interdependent oscillatory components governs the emergence of network-wide patterns of synchrony that regulate and enable complex functions. Yet, understanding, and ultimately harnessing, the structure-function relationship in oscillator networks remains an outstanding challenge of modern science. Here, we address this challenge by presenting a principled method to prescribe exact and robust functional configurations from local network interactions through optimal tuning of the oscillators' parameters. To quantify the behavioral synchrony between coupled oscillators, we introduce the notion of functional pattern, which encodes the pairwise relationships between the oscillators' </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Aug</publication><modification>2025-04-27T03:17:57.063Z</modification><creation>2025-02-19T00:47:36.902Z</creation></dates><accession>S-EPMC9372149</accession><cross_references><pubmed>35953467</pubmed><doi>10.1038/s41467-022-31733-2</doi></cross_references></HashMap>