Synergetics in Pattern Recognition and Associative Action

Biology abounds in examples for the self-organization of structures and behavioral patterns. There is increasing evidence that the mammalian brain is, to a rather large extent, self-organizing. Thus when we wish to implement the abilities of biological systems into the construction of new types of computers, it appears quite natural to try to use principles derived from the study of biological systems, in particular the brain. This is certainly one of the motivations which has led to the mushrooming field of neurocomputers [1]. Whether a present day neural computer can be considered as a sensitive model of the neural network of a brain is, to put it mildly, an open question. Indeed, opinions range from great optimism to a profound scepticism (see for instance Kohonen [2]).

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