Title :
Relaxation oscillator networks with time delays
Author :
Campbell, Shannon ; Wang, DeLiang
Author_Institution :
Dept. of Phys., Ohio State Univ., Columbus, OH, USA
Abstract :
We study relaxation oscillators with couplings that mimic excitatory chemical synapses. Such oscillator networks have been shown to synchronize quickly without time delays. We present analytic results for a pair of oscillators showing that loose synchrony occurs for a wide range of initial conditions and time delays. Simulations indicate that locally coupled networks in one and two dimensions also exhibit loose synchrony. To characterize loose synchrony we introduce a measure of synchrony, the maximum time difference. We obtain histograms of this measure for one and two dimensional oscillator networks. Also, we conjecture that there is a range of initial conditions for which the maximum time difference remains bounded as the system evolves
Keywords :
brain models; coupled circuits; delays; neural nets; neurophysiology; physiological models; relaxation oscillators; synchronisation; brain; couplings; excitatory chemical synapses; initial conditions; loose synchrony; maximum time difference; neural nets; neurophysiology; relaxation oscillator networks; time delays; Chemicals; Cognitive science; Delay effects; Equations; Histograms; Information science; Knee; Limit-cycles; Oscillators; Physics computing;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.616097