Adaptive complete synchronization of two identical or different chaotic (hyperchaotic) systems with fully unknown parameters
This paper studies the adaptive complete synchronization of chaotic and hyperchaotic
systems with fully unknown parameters. In practical situations, some systems' parameters …
systems with fully unknown parameters. In practical situations, some systems' parameters …
[HTML][HTML] What graph theory actually tells us about resting state interictal MEG epileptic activity
Graph theory provides a useful framework to study functional brain networks from
neuroimaging data. In epilepsy research, recent findings suggest that it offers unique insight …
neuroimaging data. In epilepsy research, recent findings suggest that it offers unique insight …
On-off intermittency in time series of spontaneous paroxysmal activity in rats with genetic absence epilepsy
In the present paper we consider the on-off intermittency phenomena observed in time
series of spontaneous paroxysmal activity in rats with genetic absence epilepsy. The method …
series of spontaneous paroxysmal activity in rats with genetic absence epilepsy. The method …
Detecting synchronization of self-sustained oscillators by external driving with varying frequency
We propose a method for detecting the presence of a synchronization of a self-sustained
oscillator by external driving with linearly varying frequency. The method is based on a …
oscillator by external driving with linearly varying frequency. The method is based on a …
Detection of synchronization from univariate data using wavelet transform
A method is proposed for detecting from univariate data the presence of synchronization of a
self-sustained oscillator by external driving with varying frequency. The method is based on …
self-sustained oscillator by external driving with varying frequency. The method is based on …
[HTML][HTML] Predicting seizure outcome of vagus nerve stimulation using MEG-based network topology
Vagus nerve stimulation (VNS) is a low-risk surgical option for patients with drug resistant
epilepsy, although it is impossible to predict which patients may respond to VNS treatment …
epilepsy, although it is impossible to predict which patients may respond to VNS treatment …
Automated detection of epileptic biomarkers in resting-state interictal MEG data
Certain differences between brain networks of healthy and epilectic subjects have been
reported even during the interictal activity, in which no epileptic seizures occur. Here …
reported even during the interictal activity, in which no epileptic seizures occur. Here …
Design of coupling for synchronization of chaotic oscillators
A general procedure is discussed to formulate a coupling function capable of targeting
desired responses such as synchronization, antisynchronization, and amplitude death in …
desired responses such as synchronization, antisynchronization, and amplitude death in …
The influence of EEG references on the analysis of spatio-temporal interrelation patterns
The characterization of the functional network of the brain dynamics has become a
prominent tool to illuminate novel aspects of brain functioning. Due to its excellent time …
prominent tool to illuminate novel aspects of brain functioning. Due to its excellent time …
Are generalized synchronization and noise-induced synchronization identical types of synchronous behavior of chaotic oscillators?
This Letter deals with two types of synchronous behavior of chaotic oscillators—generalized
synchronization and noise-induced synchronization. It has been shown that both these types …
synchronization and noise-induced synchronization. It has been shown that both these types …