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Stochastic Resonance and First Arrival Time for Excitable Systems

机译:随机共振和兴奋系统的首次抵达时间

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We study the noise induced thermally activated barrier crossing of Brownian particles that hop in a piecewise linear potential. Using the exact analytic solutions and via numerical simulations not only we explore the dependence for the first passage time of a single particle but also we calculate the first arrival time for one particle out of N particles. The first arrival time decreases as the number of particles increases as expected. We then explore the thermally activated barrier crossing rate of the system in the presence of time varying signal. The dependence of signal to noise ratio SN R as well as the power amplification (eta) on model parameters is explored eta and SNR depict a pronounced peak at particular noise strength. In the presence of N particles, eta is considerably amplified as N steps up showing the weak periodic signal plays a vital role in controlling the noise induced dynamics of the system. Moreover, for the sake of generality, the viscous friction gamma is considered to decrease exponentially when the temperature T of the medium increases (gamma = Be-AT) as proposed originally by Reynolds (Philos Trans R Soc Lond 177: 157, 1886).
机译:我们研究了跳跃跳跃线性电位的褐色粒子的噪声引起的热激活障碍交叉。使用精确的分析解决方案和通过数值模拟不仅我们探索了单个粒子的第一通道时间的依赖性,而且还考虑了一个颗粒的一个颗粒的第一到达时间。随着粒子的数量随预期的增加而增加,第一到达时间降低。然后,我们在存在时变化信号的情况下探讨系统的热激活屏障交叉速率。信号与噪声比Sn R以及功率放大(ETA)的依赖性探讨了模型参数的电力放大(ETA),并且SNR表示特定噪声强度的明显峰值。在N个颗粒的存在下,ETa可显着放大,因为显示弱周期信号在控制系统的噪声引起的动态方面发挥着重要作用。此外,为了普遍性地,当媒体的温度T增加(Gamma = Be-at)时,认为粘性摩擦γ被认为是指数的,当最初由Reynolds(Philos Trans R SoC Lond 177:157,1866)增加时,介质的温度增加

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