NONLINEAR & NON STATIONARY MODELING OF BIOMEDICAL SYSTEMS

该项目产生了14篇出版物（6篇在参考期刊上， 一本书的章节，和7在会议记录）在过去 2004年，除了已提交供出版的7篇论文外， 发表在期刊上 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） 非线性反馈自适应估计;（5）非线性参数 非参数测量模型;（6）激光诱导 荧光光谱学特别重要的是一般的 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制内， 解决一个长期存在的问题， 生理系统建模 试点应用到实验 来自大鼠肾脏、蜘蛛机械感受器和兔子的数据 海马体已经对大脑的生理 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.