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Refractory pulse counting Processes in stochastic neural computers

机译:随机神经计算机中的难点脉冲计数过程

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This letter quantitatively investigates the effect of a temporary refractory period or dead time in the ability of a stochastic Bernoulli processor to record subsequent pulse events, following the arrival of a pulse. These effects can arise in either the input detectors of a stochastic neural network or in subsequent processing. A transient period is observed, which increases with both the dead time and the Bernoulli probability of the dead-time free system, during which the system reaches equilibrium. Unless the Bernoulli probability is small compared to the inverse of the dead time, the mean and variance of the pulse count distributions are both appreciably reduced.
机译:这封信定量地研究了暂时不应期或停滞时间对随机伯努利处理器记录脉冲到达后后续脉冲事件的能力的影响。这些影响可能出现在随机神经网络的输入检测器中,也可能发生在后续处理中。观察到一个瞬态周期,该周期随空载时间和空载自由系统的伯努利概率一起增加,在此期间系统达到平衡。除非伯努利概率比死区时间的倒数小,否则脉冲计数分布的均值和方差都将显着降低。

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