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Event-driven simulation of neural population synchronization facilitated by electrical coupling

机译:电耦合促进神经种群同步的事件驱动模拟

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Most neural communication and processing tasks are driven by spikes. This has enabled the application of the event-driven simulation schemes. However the simulation of spiking neural networks based on complex models that cannot be simplified to analytical expressions (requiring numerical calculation) is very time consuming. Here we describe briefly an event-driven simulation scheme that uses pre-calculated table-based neuron characterizations to avoid numerical calculations during a network simulation, allowing the simulation of large-scale neural systems. More concretely we explain how electrical coupling can be simulated efficiently within this computation scheme, reproducing synchronization processes observed in detailed simulations of neural populations.
机译:大多数神经通讯和处理任务都是由尖峰驱动的。这使得事件驱动的仿真方案得以应用。但是,基于无法简化为解析表达式(需要数值计算)的复杂模型对尖峰神经网络进行仿真非常耗时。在这里,我们简要描述一种事件驱动的仿真方案,该方案使用预先计算的基于表的神经元表征来避免在网络仿真期间进行数值计算,从而可以仿真大型神经系统。更具体地说,我们解释了如何在此计算方案内有效地模拟电耦合,并重现了在神经种群的详细模拟中观察到的同步过程。

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