Signal Models for Neuronal and Electrophysiological Activities - A Planning Grant Proposal

9615565周此项目将通过将相关测量视为具有随机发生时间的事件，来研究模拟生物现象的可能性，如激素释放、神经元放电和电生理图谱。这样的时间序列和它们的变换分别称为点过程和滤波点过程，它们对生物信号的应用将提供对其机制的更多洞察。与埃默里大学的神经科学研究小组合作，将探索具有生物学意义的模型，并将采用最先进的统计信号处理工具来提取模型参数。直接可解释的模型和先进的信号处理方法能够解释某些从原始数据中可能不明显的生物现象。一份正式的联合提案(与来自生命科学领域的合作者)将在为期12个月的规划期结束时提交。目前的规划提案将为一名研究生提供支持，并为PI提供释放时间，这两项都有助于初级教员成功进入一个新的跨学科领域。***

9615565 Zhou This project will investigate the possibility of modeling biological phenomena such as hormone release, neuron firings, and electrophysiological profiles, by viewing pertinent measurements as events with random occurrence times. Such time series and their transformations are known as point processes and filtered point processes, respectively, and their application to biological signals will offer additional insight into their mechanisms. In collaboration with a neuroscience research group at Emory University, biologically meaningful models will be explored and state-of-the-art statistical signal processing tools will be adopted to extract model parameters. Directly interpretable models and advanced signal processing methodologies are capable of explaining certain biological phenomena which may not be evident from the raw data. A formal joint proposal (with collaborators from life science fields) will be submitted at the end of the twelve-month planning period. The present planning proposal will provide support for one graduate student and release time for the PI both of which are instrumental for the success of a junior faculty entering a new interdisciplinary field. ***