Reconstructing in-depth activity for chaotic 3D spatiotemporal excitable media models based on surface data.

Stenger, R; Herzog, S; Kottlarz, I; Rüchardt, B; Luther, S; Wörgötter, F; Parlitz, U

Stenger, R; Herzog, S; Kottlarz, I; Rüchardt, B; Luther, S; Wörgötter, F; Parlitz, U.

Afiliação

Stenger R; Max Planck Institute for Dynamics and Self-Organization, Am Fassberg 17, 37077 Göttingen, Germany.
Herzog S; Max Planck Institute for Dynamics and Self-Organization, Am Fassberg 17, 37077 Göttingen, Germany.
Kottlarz I; Max Planck Institute for Dynamics and Self-Organization, Am Fassberg 17, 37077 Göttingen, Germany.
Rüchardt B; Max Planck Institute for Dynamics and Self-Organization, Am Fassberg 17, 37077 Göttingen, Germany.
Luther S; Max Planck Institute for Dynamics and Self-Organization, Am Fassberg 17, 37077 Göttingen, Germany.
Wörgötter F; Department for Computational Neuroscience, Third Institute of Physics-Biophysics, University of Göttingen, 37077 Göttingen, Germany.
Parlitz U; Max Planck Institute for Dynamics and Self-Organization, Am Fassberg 17, 37077 Göttingen, Germany.

Chaos ; 33(1): 013134, 2023 Jan.

Article em En | MEDLINE | ID: mdl-36725654

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Chaos Ano de publicação: 2023 Tipo de documento: Article

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