Abstract
New learning rules for the storage and retrieval of temporal sequences, in neural networks with parallel synchronous dynamics, are presented. They allow either one-shot, non-local learning, or slow, local learning. Sequences with bifurcation points, i.e. sequences in which a given state appears twice, or in which a given state belongs to two distinct sequences, can be stored without errors and retrieved.
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© 1989 Springer-Verlag Berlin Heidelberg
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Guyon, I., Personnaz, L., Dreyfus, G. (1989). Of Points and Loops. In: Eckmiller, R., v.d. Malsburg, C. (eds) Neural Computers. Springer Study Edition, vol 41. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83740-1_28
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DOI: https://doi.org/10.1007/978-3-642-83740-1_28
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