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Monthly
288 pp. per issue, 6 x 9,
illustrated
Founded: 1989
ISSN 0899-7667
E-ISSN 1530-888X
2008 ISI Impact Factor: 2.378
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March 1993, Vol. 5, No. 2, Pages 260-266
Posted Online April 4, 2008.
(doi:10.1162/neco.1993.5.2.260)
© 1993 Massachusetts Institute of Technology
Constraints on Synchronizing Oscillator Networks David E. CairnsCentre for Cognitive and Computational Neuroscience, University of Stirling, Stirling, Scotland, FK9 4LA Roland J. BaddeleyCentre for Cognitive and Computational Neuroscience, University of Stirling, Stirling, Scotland, FK9 4LA Leslie S. SmithCentre for Cognitive and Computational Neuroscience, University of Stirling, Stirling, Scotland, FK9 4LA
This paper investigates the constraints placed on some synchronized oscillator models by their underlying dynamics. Phase response graphs are used to determine the phase locking behaviors of three oscillator models. These results are compared with idealized phase response graphs for single phase and multiple phase systems. We find that all three oscillators studied are best suited to operate in a single phase system and that the requirements placed on oscillatory models for operation in a multiple phase system are not compatible with the underlying dynamics of oscillatory behavior for these types of oscillator models. Cited byG. Frank, G. Hartmann, A. Jahnke, M. Schafer. (1999) An accelerator for neural networks with pulse-coded model neurons. IEEE Transactions on Neural Networks 10:3, 527-538 Online publication date: 1-Jun-1999. CrossRef S. Campbell, DeLiang Wang. (1996) Synchronization and desynchronization in a network of locally coupled Wilson-Cowan oscillators. IEEE Transactions on Neural Networks 7:3, 541-554 Online publication date: 1-Jun-1996. CrossRef Alfred Nischwitz, Helmut Glünder. (1995) Local lateral inhibition: a key to spike synchronization?. Biological Cybernetics 73:5, 389-400 Online publication date: 1-Nov-1995. CrossRef
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