Iterative methods are used to simulate the in vitro feedforward neural networks in physiological experiments. Emissivity can be propagated to a minimum of ten groups. However, the discharge activity of each group will be more synchronized. The feedforward neural networks have a wide range of applications in machine learning, and the weight of synapses considerably influences the propagation of weak signals. Herein, we investigated the effect of Gaussian colored noise and electromagnetic radiation on the propagation of the subthreshold excitatory postsynaptic current signals in the input layer ...
