Title :
Lattice Synchronization of Neural Oscillators for Scene Segmentation
Author_Institution :
Universidade de Sao Paulo, Brazil
Abstract :
Synchronization is an important mechanism for selforganization of neurons. In this work we give a rigorous analyze on the synchronization condition of coupled chaotic neural oscillators on a 2D lattice. Then, we show how this result can be applied to construct oscillatory correlation neural network for scene segmentation.
Keywords :
Chaos; Chaotic communication; Frequency synchronization; Image segmentation; Inhibitors; Lattices; Layout; Local oscillators; Neural networks; Neurons;
Conference_Titel :
Neural Networks, 2006. SBRN '06. Ninth Brazilian Symposium on
Conference_Location :
Ribeirao Preto, Brazil
Print_ISBN :
0-7695-2680-2
DOI :
10.1109/SBRN.2006.24
