Traditional Perceptrons Do Not Produce the Overexpectation Effect

Perceptrons are typically viewed as being an artificial neural network that embodies the Rescorla-Wagner model of learning. One of the important properties of the Rescorla-Wagner model was its prediction of the overexpectation effect. However, we show below that a typical perceptron is not capable of generating this effect. This result brings into question assumed relationships between artificial neural networks and models of animal learning.