Die nichtlineare Dynamik des menschlichen Gehirns. Methoden und Anwendungsbeispiele

Kowalik, Zbigniew J.; Schiepek, Günter

doi:10.1007/978-3-322-91596-2_7

Cited by 2 publications

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to identify the varying degrees of coupling densities between the dynamics of subsystems or components, they have to be recorded like multi-channel recordings of the EEG or the MEG. The covariation of the distributed recordings will be indicative of the divergent or coordinated (attuned) activity at different brain regions (Kelso, 1995;Kowalik & Schiepek, 1997).…”

Section: Changing Degrees Of Synchronization In Complex Systemsmentioning

confidence: 99%

A Dynamic Systems Approach to Clinical Case Formulation

Schiepek

2003

European Journal of Psychological Assessment

Self Cite

View full text Add to dashboard Cite

Summary: This contribution is based on the evidence that most psychological practitioners are concerned with the facilitation of change processes. They help people to learn, to develop, or to change patterns of cognitions, emotions, and behaviors. Consequently, they need assessment tools that enable them to represent the essential features of the complex systems they are concerned with, i.e., structure of functioning and dynamics. After some introductory remarks on systemic assessment, we focus on two methods of comprehensive data representation: one of them is used in order to represent the structure of functioning of a system, the other to assess its dynamics. The first one is called “idiographic system modeling” and represents the interrelations between the most important variables of a system by graphical means. The other one is based on a continuously produced flow of data about the functioning of a system and on a continuous screening of dynamic features of this time series (critical fluctuations, degree of synchronization, and stability vs. instability). It is called “real-time monitoring.” Perhaps this methodology can help to bridge the gap between research, usually realized in artificial laboratory settings, and the change processes taking place in practice.

show abstract

Section: Changing Degrees Of Synchronization In Complex Systemsmentioning

confidence: 99%