Editorial: Adaptive networks in functional modeling of physiological systems

Eckehard Schöll; Jakub Sawicki; Rico Berner; Plamen Ch Ivanov

doi:10.3389/fnetp.2022.996784

Editorial: Adaptive networks in functional modeling of physiological systems

Front Netw Physiol. 2022 Aug 25:2:996784. doi: 10.3389/fnetp.2022.996784. eCollection 2022.

Authors

Eckehard Schöll^{1

2

3}, Jakub Sawicki^{1

2

4}, Rico Berner^{1

5}, Plamen Ch Ivanov^{6

7}

Affiliations

¹ Institut für Theoretische Physik, Technische Universität Berlin, Berlin, Germany.
² Potsdam Institute for Climate Impact Research, Potsdam, Germany.
³ Bernstein Center for Computational Neuroscience Berlin, Humboldt-Universität, Berlin, Germany.
⁴ Fachhochschule Nordwestschweiz FHNW, Basel, Switzerland.
⁵ Institut für Physik, Humboldt-Universität zu Berlin, Berlin, Germany.
⁶ Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, United States.
⁷ Harvard Medical School and Division of Sleep Medicine, Brigham and Women's Hospital, Boston, MA, United States.

No abstract available

Keywords: adaptive networks; cluster synchronization; coupled oscillators; dynamical systems; functional modeling; network physiology; pattern formation.

Publication types

Editorial

Grants and funding

This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, project Nos. 163436311—SFB 910, 429685422 and 440145547), PI acknowledges support from the W. M. Keck Foundation, and the US-Israel Binational Science Foundation (BSF Grant 2020020).