Title :
Synchronized oscillation and dynamical clustering in chaotic PCNN
Author :
Yamaguchi, Y. ; Ishimura, K. ; Wada, M.
Author_Institution :
Graduate Sch. of Eng., Hokkaido Univ., Japan
Abstract :
Chaotic synchronization of pulse-coupled neural network (PCNN) is studied from the viewpoint of flexible information coding. Using extended Eckhorn´s PCNN model, we numerically analyze a generation of chaotic synchronized clusters in a network with locally-excitatory-globally-inhibitory connection. When multiple clusters are generated in the chaotic network, there is almost no cross-correlation between spike sequences of neurons in different clusters.
Keywords :
chaos; neural nets; synchronisation; Eckhorn´s PCNN model; PCNN; chaotic network; chaotic synchronization; figure-ground separation; inhibitory connection; multiple clusters; pulse-coupled neural network; spike sequences; Brain modeling; Chaos; Image coding; Information processing; Intelligent networks; Joining processes; Mathematical model; Neurons; Numerical models; Oscillators;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195246