DETECTING GENERALIZED SYNCHRONY OF CELLS IN HIPPOCAMPUS

神经系统中的细胞通常是高度相互连接的；然而， 它们的发射时间在某些事件期间是同步的，例如伽马 振荡和theta振荡。在这些振荡过程中， 交叉相关可以显示尖峰时间的同步。然而， 当细胞不同步时，我们的假设是 更复杂的交互，如广义同步，但不能 使用线性分析(即互相关)来检测。这些 互动可能会让我们对互动有更丰富的了解 在细胞之间。目前还不存在检测这些复合体的技术 神经元之间的相互作用。我们打算从两个锥体细胞记录 在有和没有谷氨酸的情况下，同时在海马体中 对抗者。谷氨酸拮抗剂增加了 细胞。分析，以检测之间的非线性函数关系 细胞的放电模式将应用于时间序列。我们 将使用一种名为相互预测的技术。它已经被用来展示 单细胞间的相互作用与群体活动 线性技术无法检测到的刺激猫脊髓。 这项工作还将开发一种新的非线性检测技术 通过比较脉冲间期模式进行交互作用 不稳定的周期轨道。如果找到了以下函数关系 两个细胞自发时的自发放电模式 激发，这些技术将被使用，与另一个 实验室，分析嗅觉中两个细胞之间的相互作用 球茎以及不同气味对它们的影响。

Cells in the nervous system are often highly interconnected; however, their firing times are synchronized during certain events such as gamma oscillations and theta oscillations. During these oscillations, crosscorrelations can show synchronization of spike times. However, when the cells are not synchronized, it is our hypothesis that there may be more complex interactions, such as generalized synchrony, that cannot be detected using linear analysis (i.e. cross correlation). These interactions may give a much richer understanding of the interactions between cells. Currently, no technique exists to detect these complex interactions in neurons. We intend to record from two pyramidal cells in the hippocampus simultaneously with and without glutamate antagonists. The glutamate antagonists increases synchrony between cells. Analysis to detect nonlinear functional relations between the firing patterns of the cells will be applied to the time series. We will use a technique called mutual prediction. It has been used to show interactions between single cells and the population activity in the stimulated cat spinal cord that linear techniques could not detect. This work will also develop a new technique for detecting nonlinear interactions by comparing patterns of interspike intervals using unstable periodic orbits. If a functional relationship is found between the spontaneous firing pattern of two cells when they are spontaneously firing, these techniques will be used, in a collaboration with another laboratory, to analyze interactions between two cells in the olfactory bulb and how they are effected by different odorants.