Abstract
espanolEn este trabajo se estudia la relacion entre la canti-dad de informacion y la complejidad de aprendizaje en el modelo discreto de Hopfield de memoria asociativa. Mas especificamente, se analiza, desde un punto de vista estadistico, la relacion entre la probabilidad de que un estado del sistema sea un equilibrio estable (memoria) y un valor de entropia o incertidumbre asociado a el. Se realizan experimentos computacionales para corroborar estos resultados. EnglishThe relationship between amount of information and learning complexity is studied for the discrete Hopfield model of associative memory. More precisely, we analize, from a statistical point of view, the relation between the probability of a state of the system to be a stable equilib-rium (i.e. a memory) and a value of entropy or uncertainty associated to it. Computer experiments are made to confirm these results.
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