THE STUDY OF NEURONAL SYNCHRONY USING COUPLED OSCILLATOR MODEL

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目及 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 神经元以复杂而有组织的方式与控制其系统动力学的多个水平的兴奋性和抑制性通路连接。不同的单元属性和耦合模式的综合影响，引起的神经网络的复杂特性。神经假体研究的最新进展为使用核估计建模进行电刺激的潜在治疗策略提供了希望。为了解决核技术的不足之处，我们提出了使用耦合振子模型作为一种手段来设计和施加扰动的神经系统。本文提出了一个由振荡器、不稳定时钟和沙漏三种可能的单元组成的计算机模型。在这里，我们概述了目前的文献和我们的实验过程中估计单个神经元的单位特性。与研究导师合作，我们的团队正在设计大鼠海马神经元的小型网络拓扑结构，以验证模型参数估计。计算机模拟和初步实验研究表明，中等强度的电场噪声可以增强与学习和记忆相关的频率。另外，还通过实验分析了磁场方向的影响。神经递质的释放和摄取的影响，以及在细胞振荡的通道动力学纳入第一次在振荡器模型，以适应突触可塑性。目前的模型现在可以容纳AMPA、NMDA和GABA受体的组合。细胞外离子浓度对网络发射频率相对于固有的单位频率的影响。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Neurons are connected in an intricate yet organized manner with multiple levels of excitatory and inhibitory pathways that control its system dynamics. The combined effect of different unit properties and coupling modes gives rise to the complex characteristics of the neural network. Recent developments in neural-prosthetic research offer hope for potential therapeutic strategy using kernel estimation modeling for electric stimulation. To address the deficiencies of the kernel technique, we propose the use of coupled oscillator model as a mean to design and apply perturbations to the neural systems. A computer model consisting of 3 possible unit types (Oscillators, Labile clock and Hourglass) is proposed. Here, we outline the current literature and our experimental process for estimating the unit characteristics of individual neurons. In collaboration with the research mentors, our group is designing topologies of small networks of rat hippocampal neurons for the validation of the model parameter estimation. The computer simulation and preliminary experimental studies suggested that frequencies related to learning and memory can be enhanced by intermediate level of electric field noise. Additional analysis on the effect of field orientation is also obtained experimentally. The effects of neurotransmitter release and uptake as well as the channel dynamics in cellular oscillations are incorporated for the first time in an oscillator model to accommodate for synaptic plasticity. The current model can now accommodate combination of AMPA, NMDA and GABA receptors. The effect of extracellular ionic concentrations on the network firing frequency with respect to the intrinsic unit frequency is also presented.