NONLINEAR & NON STATIONARY MODELING OF BIOMEDICAL SYSTEMS

该项目产生了14篇出版物(6篇发表在参考期刊上， 一本书的章节，会议记录中的7章) 去年，除了已提交发表的7篇论文外 在被引用的期刊上。我们可以定义六个主要的研究领域 进展：(1)生理系统的非线性建模；(2) 非线性生理系统的非平稳建模；(3) 点过程输入数据的非线性建模；(4)分解 自适应估计的非线性反馈；(5)非线性参数 来自非参数测量的模型；以及(6)激光诱导 其中特别重要的是荧光光谱学。 产生紧凑的非线性和非平稳模型的方法 在实验研究的实际限度内， 解决一个长期存在的对 生理系统建模。试点应用到试验性 大鼠肾脏、蜘蛛机械感受器和兔的数据 海马体已经对生理学产生了新的见解 这些系统的机制。

This project generated 14 publications (6 in refereed journals, one book chapter, and 7 in conference proceedings) during the past year, in addition to 7 papers that have been submitted for publication in refereed journals. We can define six main areas of research progress: (1) nonlinear modeling of physiological systems; (2) nonstationary modeling of nonlinear physiological systems; (3) nonlinear modeling with point-process input data; (4) decomposition of nonlinear feedback via adaptive estimation; (5) nonlinear parametric models from nonparametric measurements; and (6) laser-induced fluorescence spectroscopy Of particular importance are the general methodologies that yield compact nonlinear and nonstationary models within the practical limitations of experimental investigations, solving a long-standing problem of critical importance for physiological system modeling. Pilot applications to experimental data from the rat kidney, spider mechanoreceptors and the rabbit hippocampus have yielded new insights into the physiological mechanisms of these systems.