Dynamics and Control of Neuronal Pattern Formation

描述（由申请人提供）：图案形成的物理学在过去的20年里取得了巨大的进步。然而，由于我们对神经元相互作用动力学的了解，以及我们缺乏控制这种模式的系统参数，将这些知识应用于神经元系统的能力受到限制。在之前的K02研究中，我们已经证明电场可以作为一个反馈参数来自适应地控制神经元活动的模式。此外，我们已经证明，当单个神经元形成这些模式时，它们之间的相互作用可以被详细表征。这个更新的提议将寻求测试的假设，神经元模式的参数控制可以实现电场反馈。这样的反馈可以作为一个基本的工具来探索神经元集合如何动态形成和改变它们的活动模式，并作为一种与病理神经元动力学相互作用和选择性修改的手段。我的研究目标是开发神经元活动模式的智能交互和控制策略，使用物理模式形成的框架来组织理论和实验。我建议采用四部分方法：1)体外实验，以确定神经元之间的细胞内相互作用如何决定模式之间转换的性质；2)开发一个隔间计算框架，直接模拟这些实验；3)开发抽象模型，以理解这些现象背后的非平衡模式形成物理学。4)在体外和体内实验中应用从建模中获得的见解来设计和测试癫痫发作和θ波节律的合理控制策略。我的职业目标是通过1)正式的研究生课程学习，2)继续我的研究和与资深数学家和物理学家的合作，以及3)组织研讨会来进一步发展和扩大物理和医学中模式形成的领域，利用K02机制来密集地获得足够的模式形成物理学背景来进行这些提出的实验。

DESCRIPTION (provided by applicant): The physics of pattern formation has made dramatic strides over the past 20 years. Nevertheless, the ability to apply this knowledge to neuronal systems has been limited by our knowledge of the dynamics of neuronal interactions, and our lack of a system parameter to control such patterns. Over the previous period of this K02, we have demonstrated that electric fields can serve as a feedback parameter to control patterns of neuronal activity adaptively. Furthermore, we have demonstrated that the interactions between individual neurons as they form these patterns can be characterized in detail. This renewal proposal will seek to test the Hypothesis that parametric control of neuronal patterns can be achieved with electric field feedback. Such feedback can serve as a basic tool to explore how neuronal ensembles dynamically form and change their patterns of activity, and as a means to interact with and selectively modify pathological neuronal dynamics. My research goals are to develop intelligent interaction and control strategies for neuronal patterns of activity, using the framework of Pattern Formation in Physics to organize theory and experiments. I propose a 4 part approach: 1) In Vitro experiments to determine how the intracellular interactions between neurons determine the nature of the transition between patterns, 2) develop a compartmental computational framework to directly model these experiments, 3) develop abstract models to understand the nonequilibrium pattern formation physics that underlie these phenomena, and 4) to apply insights gained from modeling to design and test rational control strategies for seizures and theta rhythm in In Vitro and In Vivo experiments. My career goals are to use the K02 mechanism to intensively acquire a sufficient background in pattern formation physics to perform these proposed experiments through 1) formal graduate course work, 2) continuing my studies and collaboration with senior mathematicians and physicists, and 3) organizing workshops to further develop and expand the field of pattern formation in physics and medicine.