Title :
Synchronization and desynchronization in locally coupled Wilson-Cowan oscillators
Author :
Campbell, Shannon ; Wang, DeLiang
Author_Institution :
Dept. of Phys., Ohio State Univ., Columbus, OH, USA
fDate :
27 Jun-2 Jul 1994
Abstract :
A network of Wilson-Cowan oscillators is constructed, and its emergent properties of synchronization and desynchronization are investigated by both computer simulation and formal analysis. The network is a two-dimensional matrix, where each oscillator is coupled only to its nearest neighbors. The coupling strengths are rapidly adjusted based on a Hebbian rule. A global inhibitor is introduced which receives input from the matrix and inhibits each oscillator in the matrix. We found that a group of oscillators which is stimulated by a single object quickly produces phase synchrony within the group. Furthermore, global inhibition drives the network to desynchronize different oscillator groups. Different from many other studies, the abilities of this model emerge from local connections, which preserve spatial relationships among object components, critical for encoding Gestalt principles of feature grouping. These properties of the oscillator network offer a very promising approach for pattern segmentation based on synchrony and desynchrony
Keywords :
correlation methods; image segmentation; neurophysiology; oscillators; pattern recognition; physiological models; synchronisation; visual perception; Gestalt principles; Hebbian rule; desynchronization; encoding; feature grouping; formal analysis; global inhibitor; locally coupled Wilson-Cowan oscillators; pattern segmentation; synchronization; two-dimensional matrix; Brain modeling; Cognitive science; Computer networks; Equations; Information science; Inhibitors; Intelligent networks; Local oscillators; Nearest neighbor searches; Physics computing;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374312