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Cellular Neural Networks for Realizing Associative Memories

  • Conference paper
ACRI ’96

Abstract

We studied the performance, as associative memory, of a !-dimensional Cellular Neural Network, with local connections and a local memorization law of Hebbian type. We found that, contrarily to what expected, this performance was decreasing with increasing neighbourhood amplitude. We proposed some possible explanations of this result, and a speculation about its cognitive meaning.

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Authors and Affiliations

  1. ECONA, Interuniversity Center for Research on Cognitive Processing in Natural and Artificial Systems, Via dei Marsi, 78, 00185, Roma, Italy

    Eliano Pessa, Carlo Palma & Maria Peitronilla Penna

  2. Dipartimento di Psicologia, Universitä di Roma “La Sapienza”, Via dei Marsi, 78, 00185, Roma, Italy

    Eliano Pessa, Carlo Palma & Maria Peitronilla Penna

Authors
  1. Eliano Pessa
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  2. Carlo Palma
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  3. Maria Peitronilla Penna
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© 1997 Springer-Verlag London Limited

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Pessa, E., Palma, C., Penna, M.P. (1997). Cellular Neural Networks for Realizing Associative Memories. In: ACRI ’96. Springer, London. https://doi.org/10.1007/978-1-4471-0941-9_13

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  • DOI: https://doi.org/10.1007/978-1-4471-0941-9_13

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76091-7

  • Online ISBN: 978-1-4471-0941-9

  • eBook Packages: Springer Book Archive

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