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Reliability and stochastic synchronization in type Ⅰ vs. type Ⅱ neural oscillators

机译:Ⅰ型和Ⅱ型神经振荡器的可靠性和随机同步

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摘要

Neural reliability and stochastic synchronization are remarkable features of real neurons with important consequences for neural computation. Both phenomena are general properties of any device with a resetting threshold, such as neurons. However, certain characteristics of the single neuron dynamics can notably improve neural reliability and stochastic synchronization. Here we show that neural resonators synchronize more reliably and more robustly than neural integrators. This suggests that neurons conveying sensory information in a spike-timing code are likely to be resonators, as supported by our recent studies on reliability and stochastic synchronization in the olfactory bulb.
机译:神经可靠性和随机同步是真实神经元的显着特征,会对神经计算产生重要影响。两种现象都是具有重置阈值的任何设备(例如神经元)的一般属性。但是,单个神经元动力学的某些特征可以显着提高神经可靠性和随机同步。在这里,我们表明神经谐振器比神经积分器更可靠,更可靠地同步。这表明,正如我们最近对嗅球中的可靠性和随机同步的研究所支持的那样,以尖峰定时代码传递感觉信息的神经元很可能是共振器。

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