MODELING OF LASER INDUCED FLUORESCENCE SPECTROSCOPY IN TISSUE

“主动态模态”的非线性建模方法 (PDM)在核心项目#1中开发的，应用于蜘蛛 机械感受器 最根本的问题是确定 有助于机械传导的生物物理机制和 这一过程的精确定量描述。 实验 （由其他来源资助）采用宽带随机刺激和记录 细胞内或细胞外。 结果 PDM方法在细胞外和细胞内的应用 记录显示出良好的预测能力， 远远超过了以前型号的能力。 两个PDM 在这些初步研究中已经确定， 两种生物物理机制：一种编码强度，另一种编码强度。 编码变化率。 后一种PDM允许机械感受器 在不同工作点保持增益灵敏度（自适应）。 细胞内和细胞外结果的比较 数据也做了。 这种一般方法可以应用于 其他神经系统，因此，提供了一个强大的工具， 生物科学的多样性和广泛的领域。

The nonlinear modeling methodology of "principal dynamic modes" (PDM) developed in Core Project #1, was applied to a spider mechanoreceptor. The fundamental question is the identification of the biophysical mechanisms that subserve mechanotransduction and the precise quantitative description of this process. The experiments (funded from other sources) employ broadband random stimuli and record either intracellularly or extracellularly. Results from the application of the PDM method to extracellular and intracellular recordings have shown excellent predictive ability of the resulting model, far exceeding the capabilities of previous models. Two PDM's have been identified in these preliminary studies, corresponding to two biophysical mechanisms: one that encodes intensity and another encoding rate of change. The latter PDM allows the mechanoreceptor to retain gain sensitivity at different operating points (adaptation). Comparisons between the results from intracellular and extracellular data were also made. This general approach can find application to other neural systems and, therefore, offers a powerful tool in a diverse and broad field of biological sciences.