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- W1983550294 abstract "Abstract Aiming at a topology of memory-growth, a computer-simulated mechanism is developed here, based on the probabilistic neural model previously developed by Anninos, Csermeley & Harth. The essential topology of this mechanism reflects the generally accepted idea that memory growth is achieved by means of association processes, i.e. through the cross-referencing of new inputs with already acquired information. In terms of computer-simulation such mechanism is developed by following the formalism of Set Theory. So the memory units, i.e. the neural netlets are equated to subsets of a set which represents a larger memory-system. Consistently with this formalism, association is a necessary, although non-sufficient condition for the growth of memory and the Boolean overlap of two subsets, i.e. of two netlets, is identified with the cross-reference mechanism which we assume to be the basis of memory growth." @default.
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- W1983550294 date "1979-10-01" @default.
- W1983550294 modified "2023-09-27" @default.
- W1983550294 title "Memory topology of neural nets" @default.
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- W1983550294 doi "https://doi.org/10.1016/0022-5193(79)90091-2" @default.
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