Luttrell S P, 2000, The emergence of dominance stripes and orientation maps in a network of firing neurons, in Information Theory and the Brain (, CUP, ed. Baddeley R, Hancock P and Földiák P), pp. 101-121
This chapter addresses the problem of training a self-organising neural network on images derived from multiple sources; this type of network potentially may be used to model the behaviour of the mammalian visual cortex (for a review of neural network models of the visual cortex see Swindale. The network that will be considered is a soft encoder which transforms its input vector into a posterior probability over various possible classes (i.e. alternative possible interpretations of the input vector). This encoder will be optimised so that its posterior probability is able to retain as much information as possible about its input vector, as measured in the minimum mean square reconstruction error (i.e. L2 error) sense (Luttrell).