A model of a system of neuronal nets interacting in informational form with each other through transmission and associative recognition of signals is studied by computer modelling. Two qualitatively different regimes are found in the system as a function of the size of the parameter of learning determining the weight of the entry into the memory of each neuronal net of each incoming signal: the chaotic alternation of images almost independent of the initial one and collective recognition of the initial image when to it is compared associatively a certain limiting cycle of images. The similarity of the model to the Eigen hypercycle is established and discussed.
|Original language||English (US)|
|Number of pages||9|
|State||Published - 1993|
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