统计数据同化：来自神经生物学的公式和实例
Statistical Data Assimilation: Formulation and Examples from Neurobiology
摘要：
对于研究主题数据同化和控制：生命科学中的理论和应用，我们首先回顾了统计数据同化（SDA）的制定，并讨论了用于探索功能神经回路的生物物理方面的条件期望值的变分近似的算法。然后，我们报告SDA的应用（1）探索个别神经元在HVC核的鸟类鸣叫系统的属性，和（2）表征个别神经元制定为超大规模集成（VLSI）模拟电路的目标是建立功能，生物病理学现实，功能神经系统的VLSI表示。神经元网络构成了一个更大的挑战，我们评论制定实验来探测的属性，特别是功能连接，在歌曲中的命令电路内HVC。
英文摘要：
For the Research Topic Data Assimilation and Control: Theory and Applications in Life Sciences we first review the formulation of statistical data assimilation (SDA) and discuss algorithms for exploring variational approximations to the conditional expected values of biophysical aspects of functional neural circuits. Then we report on the application of SDA to (1) the exploration of properties of individual neurons in the HVC nucleus of the avian song system, and (2) characterizing individual neurons formulated as very large scale integration (VLSI) analog circuits with a goal of building functional, biophysically realistic, VLSI representations of functional nervous systems. Networks of neurons pose a substantially greater challenge, and we comment on formulating experiments to probe the properties, especially the functional connectivity, in song command circuits within HVC.
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