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Bogdan P, Ivanov PC, Pequito S. Editorial: Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology With Implications for Artificial Intelligence. Front Physiol 2022; 13:917001. [PMID: 35634141 PMCID: PMC9131101 DOI: 10.3389/fphys.2022.917001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 04/21/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Paul Bogdan
- Ming-Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States
- *Correspondence: Sergio Pequito,
| | - Plamen Ch. Ivanov
- Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, United States
- Harvard Medical School and Division of Sleep Medicine, Brigham and Women’s Hospital, Boston, MA, United States
- Institute of Solid State Physics, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Sergio Pequito
- Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands
- *Correspondence: Sergio Pequito,
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