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Analysis of recall and recognition in a certain class of adaptive networks

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Abstract

A general model of adaptive networks which perform recall is analyzed in view of qualitative psychological findings. The assumptions underlying the basic model are few and general in the sense that no specifications of structure or mechanisms of adaptation are imposed. The analysis of the model is towards the addition of various features drawn from the global input-output relations expected from the networks. The memorizing process of recognition is found to be intrinsic to the model, and four of the most prominent relations between the performance of recall and recognition are shown to either exist in model or to be realizable by means of few additional plausible features.

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Authors and Affiliations

  1. Department of Mathematical Sciences, Tel-Aviv University, Ramat-Aviv, Tel-Aviv, Israel

    Y. Yeshurun & N. Richter-Dyn

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  1. Y. Yeshurun
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  2. N. Richter-Dyn
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Yeshurun, Y., Richter-Dyn, N. Analysis of recall and recognition in a certain class of adaptive networks. Biol. Cybernetics 32, 35–40 (1979). https://doi.org/10.1007/BF00337449

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  • DOI: https://doi.org/10.1007/BF00337449

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