Abstract
This paper studies the strength and direction of phase synchronization among Neural Networks (NNs). First, a nonlinear lumped-parameter cerebral cortex model is addressed and used to generate epileptic surrogate EEG signals. Second, a method that can be used to calculate the strength and direction of phase synchronization among NNs is described including the phase estimation, synchronization index and phase coupling direction. Finally, simulation results show the method addressed in this paper can be used to estimate the phase coupling direction among NNs.
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Li, Y., Li, X., Ouyang, G., Guan, X. (2005). Strength and Direction of Phase Synchronization of Neural Networks. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_49
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DOI: https://doi.org/10.1007/11427391_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25912-1
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