A method to classify neural spikes under low signal-to-noise ratio was investigated by using artificial neural networks and template-matching.
基于人工神经网络和模板匹配，提出了对低信噪比神经元信号分类的方法。
A method to classify neural spikes under low signal-to-noise ratio was investigated by using artificial neural networks and template-matching.
基于人工神经网络和模板匹配，提出了对低信噪比神经元信号分类的方法。
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