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A significant feature of Parkinson's disease (PD) is the inability of the thalamus to respond faithfully to sensorimotor information from the cerebral cortex. This may be the result of abnormal oscillations in the basal ganglia (BG). Deep brain stimulation (DBS) is regarded as an effective method to modulate these pathological brain rhythmic activities. However, the selection of DBS parameters is...
This paper presents an optimal design of dynamic wireless automatic charging system for roadway-powered electric vehicles (RPEVs), which can effectively improve the charging performance of wireless electric vehicles. For automatic charging, the optimization of industrial automation systems on the application of RPEVs can fundamentally solve a series of problems, especially for the central issue of...
Weighted-permutation entropy (WPE) is modified from permutation entropy (PE), which recently has been proposed as a measurement for nonlinear time series. To explore the efficiency of this method and the features of seizure electroencephalogram (EEG) segments, we investigate the application of WPE in the complexity analysis for epileptic seizure detection based on EEG. It is found that the calculated...
In this paper limited penetrable visibility graph (LPVG) approach is introduced to analyze the background electroencephalograph (EEG) activity in Alzheimer's disease (AD) patients. LPVG provides a measure of transforming the time series, i.e., EEG, into complex networks, which has become a research hotspot in the field of cognitive neurodynamics. So in this work, LPVG is chosen as the center method...
Neuron is the basic unit of neuron system and information processing. The response property and information coding style of neuron to external stimulus is realized essentially through change of neurons physiological characteristics. Some important properties of neuron, such as adaptability, sensitivity and reliability, are both closely related to neural coding. During sustained stimulation, neuron...
We consider the assumption of existence of the general nonlinear internal model which is introduced in the design of robust output regulators for a class of minimum-phase nonlinear systems with rth degree (r ?? 2). The robust output regulation problem can be converted into a robust stabilization problem of an augmented system consisting of the given plant and a high-gain nonlinear internal model,...
An adaptive internal model control strategy is introduced into the robust complete synchronization of two gap-junction coupled FizHugh-Nagumo (FHN) neurons under uncertain heterogeneous disturbances which satisfies some general immersion condition. The synchronization problem can be converted into a robust stabilization problem of an augmented system consisting of the original given plants and an...
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