Graph theoretical analysis of organization of functional brain networks in ADHD
This article presents a new methodology for investigation of the organization of the overall
and hemispheric brain network of patients with attention-deficit hyperactivity disorder …
and hemispheric brain network of patients with attention-deficit hyperactivity disorder …
A probabilistic neural network for earthquake magnitude prediction
H Adeli, A Panakkat - Neural networks, 2009 - Elsevier
A probabilistic neural network (PNN) is presented for predicting the magnitude of the largest
earthquake in a pre-defined future time period in a seismic region using eight …
earthquake in a pre-defined future time period in a seismic region using eight …
Analysis and automatic identification of sleep stages using higher order spectra
Electroencephalogram (EEG) signals are widely used to study the activity of the brain, such
as to determine sleep stages. These EEG signals are nonlinear and non-stationary in …
as to determine sleep stages. These EEG signals are nonlinear and non-stationary in …
Fuzzy synchronization likelihood with application to attention-deficit/hyperactivity disorder
M Ahmadlou, H Adeli - Clinical EEG and Neuroscience, 2011 - journals.sagepub.com
Synchronization as a measure of quantification of similarities in dynamic systems is an
important concept in many scientific fields such as nonlinear science, neuroscience …
important concept in many scientific fields such as nonlinear science, neuroscience …
Continuous EEG signal analysis for asynchronous BCI application
WY Hsu - International journal of neural systems, 2011 - World Scientific
In this study, we propose a two-stage recognition system for continuous analysis of
electroencephalogram (EEG) signals. An independent component analysis (ICA) and …
electroencephalogram (EEG) signals. An independent component analysis (ICA) and …
An automatic patient-specific seizure onset detection method in intracranial EEG based on incremental nonlinear dimensionalityreduction
Y Zhang, G Xu, J Wang, L Liang - Computers in biology and medicine, 2010 - Elsevier
Epileptic seizure features always include the morphology and spatial distribution of
nonlinear waveforms in the electroencephalographic (EEG) signals. In this study, we …
nonlinear waveforms in the electroencephalographic (EEG) signals. In this study, we …
Excitement and synchronization of small-world neuronal networks with short-term synaptic plasticity
F Han, M Wiercigroch, JA Fang… - International Journal of …, 2011 - World Scientific
Excitement and synchronization of electrically and chemically coupled Newman-Watts (NW)
small-world neuronal networks with a short-term synaptic plasticity described by a modified …
small-world neuronal networks with a short-term synaptic plasticity described by a modified …
State and parameter estimation for canonic models of neural oscillators
We consider the problem of how to recover the state and parameter values of typical model
neurons, such as Hindmarsh-Rose, FitzHugh-Nagumo, Morris-Lecar, from in-vitro …
neurons, such as Hindmarsh-Rose, FitzHugh-Nagumo, Morris-Lecar, from in-vitro …
Impossibility of asymptotic synchronization for pulse-coupled oscillators with delayed excitatory coupling
W Wu, T Chen - International Journal of Neural Systems, 2009 - World Scientific
Fireflies, as one of the most spectacular examples of synchronization in nature, have been
investigated widely. In 1990, Mirollo and Strogatz proposed a pulse-coupled oscillator …
investigated widely. In 1990, Mirollo and Strogatz proposed a pulse-coupled oscillator …
Wavelet-chaos-neural network models for EEG-based diagnosis of neurological disorders
H Adeli - International Conference on Future Generation …, 2010 - Springer
Abstract In this Keynote Lecture an overview of the author's research for automated
electroencephalogram (EEG)-based diagnosis of neurological disorders is presented …
electroencephalogram (EEG)-based diagnosis of neurological disorders is presented …