Title :
Epilepsy-like phenomena in chaotic neural networks
Author :
Bondarenko, Vladimir E.
Author_Institution :
Inst. of Biochem. Phys., Acad. of Sci., Moscow, Russia
Abstract :
In this paper a model of epilepsy arising and spreading on the basis of the artificial neural network is presented. It is shown that the epilepsy-like phenomena can occur in the neural networks at the increasing of neuronal excitability or under the action of the external force. The dynamics of the quantitative EEG characteristics (correlation dimension, amplitude, largest Lyapunov exponent) is similar to the one at the epilepsy arising
Keywords :
bioelectric phenomena; chaos; dynamics; electroencephalography; neural nets; neurophysiology; physiological models; Lyapunov exponent; amplitude; chaotic neural networks; correlation dimension; dynamics; epilepsy; neuronal excitability; neurophysiology; quantitative EEG characteristics; Artificial neural networks; Biological neural networks; Brain modeling; Chaos; Electroencephalography; Epilepsy; Humans; Intelligent networks; Neural networks; Neurons;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.548994
