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Methods for Parameter Identification in Oscillatory Networks

L Leistritz · Klinische Neurophysiologie · 2004 · Heft 08

Dokument
1039120
CareLit-ID
Jahr
2004
Publikation
PDF
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Metadaten
DOI
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Bibliografische Angaben

Zeitschrift
Klinische Neurophysiologie
Autor:innen
L Leistritz
Ausgabe
Heft 08 / 2004
Seiten
–
Erschienen: 2004-08-25 00:00:00
ISSN
1434-0275

Zusammenfassung

Directed information transfer in the brain is presumably arranged by coupled oscillators. A suitable model is provided by oscillatory networks. Generally, an oscillatory network is described by a set of coupled oscillators, where each component is given by an ordinary differential equation. Usually, these equations contain unknown parameters like frequency, phase or damping quantities. Furthermore, the network contains parameters describing couplings between the oscillators. A general parameter identification task is the estimation of an optimal parameter set by fitting the network solution to measured data. Thi…

Schlagworte

Algorithms After Klinische Neurophysiologie