Background: In a previous work (Dafilis et al. in Chaos 23(2):023111, 2013), evidence was presented for four-dimensional chaos in Liley's mesoscopic model of the electroencephalogram. The study was limited to one parameter set of the model equations. Findings: In this report we expand that result by presenting evidence for the extension of four-dimensional chaotic behavior to a large area of the biologically admissible parameter space. A two-parameter bifurcation analysis highlights the complexity of the dynamical landscape involved in the creation of such chaos. Conclusions: The extensive presence of high-order chaos in a well-established physiological model of electrorhythmogenesis further emphasizes the applicability and relevance of mea...
The developments in nonlinear dynamics and the theory of chaos have considerably altered our percept...
The developments in nonlinear dynamics and the theory of chaos have considerably altered our percept...
The search for chaotic patterns has occupied numerous investigators in neuroscience, as in many othe...
The occurrence of so-called four dimensional chaos in dynamical systems represented by coupled, nonl...
Various techniques designed to extract nonlinear characteristics from experimental time series have ...
A recently proposed mean-field theory of mammalian cortex rhythmogenesis describes the salient featu...
This thesis explores the dynamics of a physiologically realistic mathematical model of a neural popu...
Liley's mesoscopic mean-field theory of mammalian cortex electro-rhythmogenesis describes the salien...
We study the bifurcation diagram of a mesoscopic model of the human cortex. This model is known to e...
The correlation dimension has been used to characterize the effect of anesthesia on the EEG [13][14]...
Epilepsy is a prevalent neurological disorder with symptoms characterized by abnormal discharge in t...
Chaos and noise in the electroencephalogram. In the last decade great attention has been devoted to ...
Chaos and noise in the electroencephalogram. In the last decade great attention has been devoted to ...
An outstanding open problem in neuroscience is to understand how neural systems are capable of produ...
Nonlinear time series analyses have suggested that the human electroencephalogram (EEG) may share st...
The developments in nonlinear dynamics and the theory of chaos have considerably altered our percept...
The developments in nonlinear dynamics and the theory of chaos have considerably altered our percept...
The search for chaotic patterns has occupied numerous investigators in neuroscience, as in many othe...
The occurrence of so-called four dimensional chaos in dynamical systems represented by coupled, nonl...
Various techniques designed to extract nonlinear characteristics from experimental time series have ...
A recently proposed mean-field theory of mammalian cortex rhythmogenesis describes the salient featu...
This thesis explores the dynamics of a physiologically realistic mathematical model of a neural popu...
Liley's mesoscopic mean-field theory of mammalian cortex electro-rhythmogenesis describes the salien...
We study the bifurcation diagram of a mesoscopic model of the human cortex. This model is known to e...
The correlation dimension has been used to characterize the effect of anesthesia on the EEG [13][14]...
Epilepsy is a prevalent neurological disorder with symptoms characterized by abnormal discharge in t...
Chaos and noise in the electroencephalogram. In the last decade great attention has been devoted to ...
Chaos and noise in the electroencephalogram. In the last decade great attention has been devoted to ...
An outstanding open problem in neuroscience is to understand how neural systems are capable of produ...
Nonlinear time series analyses have suggested that the human electroencephalogram (EEG) may share st...
The developments in nonlinear dynamics and the theory of chaos have considerably altered our percept...
The developments in nonlinear dynamics and the theory of chaos have considerably altered our percept...
The search for chaotic patterns has occupied numerous investigators in neuroscience, as in many othe...