Abstract
A processing principle supported by a dynamic memory is presented, which makes learning involved in the overall treatment. By emphasizing the operational constraints of this principle, and taking into account the concrete tasks to be performed, a modular and parallel architecture is gradually defined. It is shown that this architecture arises in the course of processing, through two complementary mechanisms: the long-term reinforcement or dissolution of memory pathways, and the episodic sprouting of new pathways. The resulting system basically detects coincidences between a cross flow of internal signals and an afferent flow of incoming signals.
on research fellowship from : Laboratoire d’lnformatique et de Mécanique pour les Sciences de I’lngénieur / LIMSI BP.30 91406 Orsay cedex (France)
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© 1989 Springer-Verlag Berlin Heidelberg
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Béroule, D. (1989). The Never-Ending Learning. 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_24
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DOI: https://doi.org/10.1007/978-3-642-83740-1_24
Publisher Name: Springer, Berlin, Heidelberg
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