Luttrell S P, October 1999, A user's guide to stochastic encoder/decoders, DERA technical report (Malvern, UK), DERA/S&P/SPI/TR990290
The overall goal of this research is to develop the theory and practice of self-organising networks that can discover objects and correlations in data, and the application of this to the fusion of data derived from multiple sensors. The purpose of this report is to give a practical introduction to self-organising stochastic encoder/decoders, in which each input vector is encoded as a stochastic sequence of code indices, and then decoded as a superposition of the corresponding sequence of code vectors. Mathematica software for implementing this type of encoder/decoder is presented, and numerical simulations are run to illustrate a variety of emergent properties.