TÜBİTAK TBAG Proje01.10.2014In this project, the dynamics of differential equations that possess asymptotically stable equilibrium points or asymptotically stable limit cycles are investigated when they are perturbed chaotically. It is theoretically proved that the outputs are chaotic when the inputs are chaotic. The controllability of the obtained chaos is demonstrated. The chaos generation problem in cellular neural networks is considered and the formation of cyclic chaos in Hopfield neural networks is investigated. In our studies, chaos in the sense of Devaney and Li-Yorke as well as the one obtained through period-doubling cascade are utilized. Intermittency route to chaos, Shilnikov orbits and chaos appearance in Chua oscillators are i...
The oscifiatory model of neuronal networks with dynamical chaos has been examined. The neurons in th...
Randomly constructed networks of N elements governed by piecewise linear differential equations have...
This research attempts to identify and model ways to store information in dynamic, chaotic neural ...
This book presents detailed descriptions of chaos for continuous-time systems. It is the first-ever ...
Local dynamics in a neural network are described by a two-dimensional (backpropagation or Hebbian) m...
[[abstract]]This study investigates bifurcations and chaos in two-cell Cellular Neural Networks (CNN...
We consider shunting inhibitory cellular neural networks with inputs and outputs that are chaotic in...
This is the first time that the method for the investigation of unpredictable solutions of different...
In this paper, unpredictable oscillations in Hopfield-type neural networks is under investigation. T...
Chaos in dynamical systems potentially provides many different dynamical states arising from a singl...
We demonstrate that diffusively coupled limit-cycle oscillators on random networks can exhibit vario...
The central subject of this book is Almost Periodic Oscillations, the most common oscillations in ap...
On account of their role played in the fundamental biological rhythms and by considering their pote...
Chaotic regimens have been observed experimentally in neurons as well as in deterministic neuronal m...
The main goal of this work is to construct an algorithm for modeling chaotic processes using special...
The oscifiatory model of neuronal networks with dynamical chaos has been examined. The neurons in th...
Randomly constructed networks of N elements governed by piecewise linear differential equations have...
This research attempts to identify and model ways to store information in dynamic, chaotic neural ...
This book presents detailed descriptions of chaos for continuous-time systems. It is the first-ever ...
Local dynamics in a neural network are described by a two-dimensional (backpropagation or Hebbian) m...
[[abstract]]This study investigates bifurcations and chaos in two-cell Cellular Neural Networks (CNN...
We consider shunting inhibitory cellular neural networks with inputs and outputs that are chaotic in...
This is the first time that the method for the investigation of unpredictable solutions of different...
In this paper, unpredictable oscillations in Hopfield-type neural networks is under investigation. T...
Chaos in dynamical systems potentially provides many different dynamical states arising from a singl...
We demonstrate that diffusively coupled limit-cycle oscillators on random networks can exhibit vario...
The central subject of this book is Almost Periodic Oscillations, the most common oscillations in ap...
On account of their role played in the fundamental biological rhythms and by considering their pote...
Chaotic regimens have been observed experimentally in neurons as well as in deterministic neuronal m...
The main goal of this work is to construct an algorithm for modeling chaotic processes using special...
The oscifiatory model of neuronal networks with dynamical chaos has been examined. The neurons in th...
Randomly constructed networks of N elements governed by piecewise linear differential equations have...
This research attempts to identify and model ways to store information in dynamic, chaotic neural ...