最后用训练好的神经网络锋电位信号进行分类。
The manual network was trained and then identifies the spikes to different classifications.
在受到长的强度不变的去极化电流时，多数神经元表现出明显的锋电位频率适应。
When presented with long depolarizing current pulse of constant amplitude, most of the neurons exhibited pronounced adaptation of spike frequency.
爆发活动信号高能量所在频段比随机单发锋电位活动和连续发放锋电位活动信号的要低。
The frequency bands of high-energy for burst activities are lower than those of random single spike firing and continuous single spike firing.
对电极记录的多个神经元锋电位的分类处理是进行锋电位时间序列分析之前所要进行的第一步。
Identification and classification of spike events were the first step in all multiple spike train data analyses.
对电极记录的多个神经元锋电位的分类处理是进行锋电位时间序列分析之前所要进行的第一步。
Identification and classification of spike events were the first step in all multiple spike train data analyses.
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