A Self-Organising Neural Network for Processing Data from Multiple Sensors

Details A Self-Organising Neural Network for Processing Data from Multiple Sensors A Self-Organising Neural Network for Processing Data from Multiple Sensors

2010-12-19

arxiv.org/abs/1012.4173v1

Computer Science

Neural and Evolutionary Computing

30 pages, 10 figures

Scientific paper

This paper shows how a folded Markov chain network can be applied to the problem of processing data from multiple sensors, with an emphasis on the special case of 2 sensors. It is necessary to design the network so that it can transform a high dimensional input vector into a posterior probability, for which purpose the partitioned mixture distribution network is ideally suited. The underlying theory is presented in detail, and a simple numerical simulation is given that shows the emergence of ocular dominance stripes.

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