Affiliation:
1. Laboratoire de l'Informatique du Parallélisme, Ecole Normale Supérieure de Lyon, 69364 Lyon Cedex 07, France
Abstract
The dynamics of discrete time, continuous state Hopfield networks is driven by an energy function. In this paper, we use this tool to prove under mild hypotheses that any trajectory converges to a fixed point for the sequential iteration, and to a cycle of length 2 or a fixed point for the parallel iteration. Perhaps surprisingly, it seems that no rigorous proof of these results was published before.
Subject
Cognitive Neuroscience,Arts and Humanities (miscellaneous)
Cited by
32 articles.
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