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Computing Science. Analysis of the Dynamics of Temporal Relationships of Neural Activities using Optical Imaging Data.

机译:计算科学。利用光学成像数据分析神经活动的时间关系动力学。

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The dynamics of the temporal relationship of the activities of neurons forming neural circuits is critically important for the flexible and adaptive delivery of the functionality of these circuits (Harris-Warrick et al. 1992; Galán et al. 2004; Hill et al 2012; Bruno et al 2015). For example, switching between synchronized and de-synchronized patterns of activity of neurons forming functional circuits in the hippocampus plays a fundamental role in memory formation, maintenance and recall in vertebrate brains (Axmacher et al. 2006; Robbe et al. 2006). In the case of epilepsy a switch to excessive synchronization of neural activities breaks down the functionality of many neural circuits and neural systems formed by them (Muldoon et al. 2013; Engel et al. 2013). Recently, it has been shown that the fine timing of inputs to different parts of the dendritic tree of neurons in the visual cortex of mammals determines the spatio-temporal preferences of these parts of the neuron and their combination determines the actual receptive field of the neuron (Chen et al. 2013). In general, both relatively simple and complex changes in the temporal relationship of neural activities can play a critical role in the delivery of the functionality of neural circuits.

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