Noise is often viewed as something unfortunate and unavoidable, however with the development
of Stochastic Resonance (SR) theory it has been shown to have beneficial
effects in many non-linear systems. We have explored the SR phenomenon via numerical
simulations of two such systems. The first one is a one-dimensional Brownian particle
in a bi-stable potential and the second a simple model of a signal neuron both subject
to a periodic input signal. We have investigated the system responses for different input
signal frequencies and noise levels in order to determine both an optimal noise level and
any dependencies upon the input signal frequency.
2016. , 25 p.