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Neural Plasticity
Volume 2009, Article ID 704075, 12 pages
Research Article

Comparison and Regulation of Neuronal Synchronization for Various STDP Rules

Institute of Complex Bio-dynamics, Jiangxi Blue Sky University, Nanchang, Jiangxi 330098, China

Received 22 August 2008; Revised 28 January 2009; Accepted 5 May 2009

Academic Editor: Menahem Segal

Copyright © 2009 Yanhua Ruan and Gang Zhao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We discuss effects of various experimentally supported STDP learning rules on frequency synchronization of two unidirectional coupled neurons systematically. First, we show that synchronization windows for all STDP rules cannot be enhanced compared to constant connection under the same model. Then, we explore the influence of learning parameters on synchronization window and find optimal parameters that lead to the widest window. Our findings indicate that synchronization strongly depends on the specific shape and the parameters of the STDP update rules. Thus, we give some explanations by analyzing the synchronization mechanisms for various STDP rules finally.