Evidence of a previously undescribed form of respiratory sinus arrhythmia...
SummaryWithin the fluctuations that occur in heart rate, there is a major component known as respiratory sinus arrhythmia (RSA), which up to now has been defined as heart rate variability which is...
View ArticleNeural clustering networks based on global optimisation of prototypes in...
AbstractThe utilisation of clustering algorithms based on the optimisation of prototypes in neural networks is demonstrated for unsupervised learning. Stimulated by common clustering methods of this...
View ArticleNon-Linear Parametric Modelling by Means of Self-Exciting Threshold...
AbstractThis paper gives a short introduction to non-linear parametric modelling by means of self-exciting threshold autoregressive (SETAR) models. After a discussion of the formal definition we...
View ArticleCoherence of gamma-band EEG activity as a basis for associative learning
AbstractDifferent regions of the brain must communicate with each other to provide the basis for the integration of sensory information, sensory-motor coordination and many other functions that are...
View ArticleNew Approaches for the Detection and Analysis of Electroencephalographic...
AbstractAn automatic EEG pattern detection unit was developed and tested for the recognition of burst-suppression periods and for the separation of burst from suppression patterns. The median, standard...
View ArticleVorteile globaler Optimierungsstrategien bei der unüberwachten Auswertung...
ZusammenfassungDie Interpretation von Hirnaktivierungen aus fMRI Experimenten auf der Basis einer Clusteranalyse läßt sich wesentlich verbessern, wenn dafür neuere Clusteralgorithmen mit einer...
View ArticleLearning the Dynamic Neural Networks with the Improvement of Generalization...
AbstractThis work addresses the problem of improving the generalization capabilities of continuous recurrent neural networks. The learning task is transformed into an optimal control framework in which...
View ArticleZur Objektivität explorativer Bildstrukturerkennung mittels Clustering....
ZusammenfassungEin wichtiger Bestandteil der (partitionierenden) Clusteranalyse ist die Validierung der in Frage kommenden Lösungen. Am Beispiel von drei Clusteralgorithmen und drei...
View ArticleTime-Variant Investigation of Quadratic Phase Couplings Caused by Amplitude...
AbstractObjective.Several studies suggest that parameters derivedfrom bispectral analysis of the EEG can be used to characterize specificcortical activation states represented by non linear interaction...
View ArticleFitting of one ARMA model to multiple trials increases the time resolution of...
Abstract.This study presents a least mean squares (LMS) algorithm for the ensemble modeling of a multivariate ARMA process. Generally, an LMS algorithm makes possible the tracking of parameters for...
View ArticleMultivariate Time Series Analysis
AbstractNowadays, modern measurement devices are capable to deliver signals with increasing data rates and higher spatial resolutions. When analyzing these data, particular interest is focused on...
View ArticleCortical Network Dynamics during Foot Movements
AbstractThe present work intends to evaluate the dynamics of the cerebral networks during the preparation and the execution of the foot movement. In order to achieve this objective, we have used...
View ArticleAnalysis and modeling of time-variant amplitude–frequency couplings of and...
AbstractLow-frequency (0.5–2.5 Hz) and individually defined high-frequency (7–11 or 8–12 Hz; 11–15 or 14–18 Hz) oscillatory components of the electroencephalogram (EEG) burst activity derived from...
View ArticleAnalysis of induced components in electroencephalograms using a multiple...
AbstractBackgroundEvoked and induced activities are two typical components in the EEG and MEG time series after a stimulation. While evoked activity is phase-locked to the stimulus, induced activity is...
View ArticleFrequency Tracking with Spline Based Chirp Atoms
AbstractThe tracking of prominent oscillations with time-varying frequencies is a common task in many signal processing applications. Therefore, efficient methods are needed to meet precision and...
View ArticleQuantification of compensatory processes of postnatal hypoxia in newborn...
AbstractBackgroundNewborn mammals suffering from moderate hypoxia during or after birth are able to compensate a transitory lack of oxygen by adapting their vital functions. Exposure to hypoxia leads...
View ArticleCortical Correlates of Human Balance Control
AbstractBalance control is a fundamental component of human every day motor activities such as standing or walking, and its impairment is associated with an increased risk of falling. However, in...
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