标记点过程变化自编码器与应用到未排序的尖端活动

Ryohei Shibue1, Tomoharu Iwata2

  • 1Communication Science Laboratories, NTT Corporation, Kanagawa, Japan.

PubMed
概括

这项研究引入了一种新的变异自编码模型,用于分析未排序的神经数据. 新模型有效地捕捉了神经活动和行为之间的复杂关系,提高了预测和解码精度.

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