A perceptron is a simple neural network that takes one input, weighs it with a weight, adds a bias, and decides with a yes-or-no answer, and it learns from its mistakes by adjusting the weight and bias. The perceptron's ability to learn and make decisions relies on the weight, bias, learning rate, and normalization of the input data, which can be adjusted to improve its accuracy and performance.