Properties of the Topographic Product of Experts
In this paper, we show how a topographic mapping can be created from a product of experts. We learn the parameters of the mapping using gradient descent on the negative logarithm of the probability density function of the data under the model. We show that the mapping, though retaining its product of experts form, becomes more like a mixture of experts during training.