本文提出了人工神经元群的逐层学习方法。

Level by Level Learning for Artificial Neuronal Groups is proposed in this paper.

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模型输出的兴奋性神经元群的平均膜电位反映脑电记录的局部电位。

Its output average membrane potential in the excitatory population standed for the local field potential recorded in scalp EEG.

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结论：高位颈髓呼吸神经元群接受发自脑桥及延髓呼吸相关结构的纤维投射。

Conclusion: The upper cervical respiratory ne ur on group receives afferent projections from pontine and medullary respiratory re lated structures.

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