Z-score relations to perceptrons

Question

I am learning about preceptrons and my professor noted that z-scores are a commmon pre-processing step to normalizing input variables. Following this, I am having trouble understanding why z-scores are useful when training a preceptron?

My current understanding is that z-scores allows us to calculate the probability of a score landing inside the normal distribution and compare with scores from other normal distributions. However, how does this translate to perceptrons?