对多电极记录的信号进行处理是揭示神经元网络特性的前提条件。
Processing the signal collected by MEA is a prerequisite to reveal the character and the mechanism of the neuronal networks.
用改进算法分析多电极记录的神经元网络信号，结果表明，该方法在神经元网络连接状态不变而具体实验数据不同的情况下，能准确体现神经元网络的连接状态。
The result shows that, when the neural network keeps up a constant link state but has different experiment data, the proposed method can embody exactly the link state of the neural network.
使用多电极阵列，可以进行实时、连续、无损的细胞外信号记录，多个通道的同时记录与分类技术的结合可用于神经元网络的功能及其动力学研究。
The technology of multi-electrode arrays can stimulate and record many neurons' activities simultaneously. This technology can be used to study the function and dynamics of neural networks.
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