Neural network models: their theoretical capabilities and relevance to biology
Martin Evans · ERA · 1990
After a brief review of the history and philosophy of neural modelling, several attractor neural networks are studied in some detail.Firstly a variation of the Hopfield Model employed to perform symmetry invariant pattern recognition is considered.It is shown that parallel dynamics tend to perform a symmetrytransformation of the network configuration at each update.In contrast serial