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中文摘要：
通过构造Lyapunov泛函，利用Ito公式以及随机分析的方法研究一类BAM神经网络的指数同步问题，给出了指数同步的新判据，举例说明了结果的实用性，推广了相关文献的结果。
英文摘要：
By using Lyapunov functional method,It^o formular and with the help of stochastic analysis technique, the suf-ficient conditions to guarantee the exponential synchronization in mean square for the neural networks were obtained. An example was given to demonstrate the advantage and applicability of the proposed results and some results of related lit-erature were extended.
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LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time
Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay
Global Exponential Robust Stability of High-Order Hopfield Neural Networks with S-Type Distributed T
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