DocumentCode
324600
Title
Synchrony and desynchrony in integrate-and-fire oscillators
Author
Campbell, Shannon ; Wang, DeLiang
Author_Institution
Dept. of Phys., Ohio State Univ., Columbus, OH, USA
Volume
2
fYear
1998
fDate
4-9 May 1998
Firstpage
1498
Abstract
Due to many experimental reports of synchronized neural activity in the brain, there is much interest in understanding synchronization in networks of oscillators and using these systems for perceptual organization. The authors examine locally coupled networks of integrate-and-fire oscillators and, contrary to a recent report by Hopfield and Herz (1995), they find that they can quickly synchronise. Moreover the authors find that time to achieve synchrony increases logarithmically with the system size. Inspired by LEGION dynamics with relaxation oscillators, the authors are able to reliably desynchronize different oscillator groups in a network of integrate-and-fire oscillators using a global inhibitor
Keywords
brain models; neural nets; neurophysiology; relaxation oscillators; synchronisation; LEGION dynamics; brain; desynchrony; integrate-and-fire oscillators; locally coupled networks; perceptual organization; relaxation oscillators; synchronized neural activity; synchrony; Biological information theory; Cognitive science; Computer networks; Fires; Information science; Inhibitors; Local oscillators; Neurons; Physics computing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location
Anchorage, AK
ISSN
1098-7576
Print_ISBN
0-7803-4859-1
Type
conf
DOI
10.1109/IJCNN.1998.685998
Filename
685998
Link To Document