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Synchronization of Small-World Neuronal Networks with Synapse Plasticity

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Advances in Cognitive Neurodynamics (II)

Abstract

Synchronization of small-world neuronal network with synapse plasticity is explored in this paper. The variation properties of synapse weights are studied first, and then the effects of synapse learning coefficient, the coupling strength and the adding probability on synchronization of the neuronal network are studied respectively. It is shown that appropriate learning coefficient is helpful for improving synchronization, and complete synchronization can be obtained by increasing the coupling strength and the adding probability.

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References

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (No.10872014).

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Authors and Affiliations

  1. School of Information Science and Technology, Donghua University, Shanghai, 201620, China

    Fang Han

  2. Department of Dynamics and Control, Beihang University, Beijing, 100191, China

    Fang Han, Qishao Lu, Xiangying Meng & Jiaoyan Wang

Authors
  1. Fang Han
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  2. Qishao Lu
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  3. Xiangying Meng
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  4. Jiaoyan Wang
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Corresponding author

Correspondence to Fang Han .

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Editors and Affiliations

  1. , Institute for Cognitive Neurodynamics, East China University of Science and Tec, Meilong Road 130, Shanghai, 200237, China, People's Republic

    Rubin Wang

  2. Fudan University, Shanghai, China, People's Republic

    Fanji Gu

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© 2011 Springer Science+Business Media B.V.

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Han, F., Lu, Q., Meng, X., Wang, J. (2011). Synchronization of Small-World Neuronal Networks with Synapse Plasticity. In: Wang, R., Gu, F. (eds) Advances in Cognitive Neurodynamics (II). Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9695-1_46

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