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On Building a Memory Evolutive System for Application to Learning and Cognition Modeling

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Brain Inspired Cognitive Systems 2008

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 657))

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Abstract

We address here aspects of the implementation of a memory evolutive system (MES), based on the model proposed by A. Ehresmann and J. Vanbremeersch (2007), by means of a simulated network of spiking neurons with time dependent plasticity. We point out the advantages and challenges of applying category theory for the representation of cognition, by using the MES architecture. Then we discuss the issues concerning the minimum requirements that an artificial neural network (ANN) should fulfill in order that it would be capable of expressing the categories and mappings between them, underlying the MES. We conclude that a pulsed ANN based on Izhikevich’s formal neuron with STDP (spike time-dependent plasticity) has sufficient dynamical properties to achieve these requirements, provided it can cope with the topological requirements. Finally, we present some perspectives of future research concerning the proposed ANN topology.

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Authors and Affiliations

  1. University of Sao Paulo, Escola Politecnica, Av. Prof. Luciano Gualberto, 158, Tr. 3, Sao Paulo, SP, 05586-090, Brazil

    Julio de Lima do Rego Monteiro, Joao Eduardo Kogler, Joao Henrique Ranhel Ribeiro & Marcio Lobo Netto

Authors
  1. Julio de Lima do Rego Monteiro
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  2. Joao Eduardo Kogler
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  3. Joao Henrique Ranhel Ribeiro
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  4. Marcio Lobo Netto
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Corresponding author

Correspondence to Joao Eduardo Kogler .

Editor information

Editors and Affiliations

  1. Dept. Computing Science, University of Stirling, Stirling, FK9 4LA, United Kingdom

    Amir Hussain

  2. Technology & Medicine, Imperial College of Science,, Exhibition Rd., London, SW7 2BT, United Kingdom

    Igor Aleksander

  3. Dept. Computing Science, University of Stirling, Stirling, FK9 4LA, United Kingdom

    Leslie S. Smith

  4. Centro Tecnológico, Universidade Federal do Maranhão, Av. dos Portugueses s/n, São Luís, 65080-040, Brazil

    Allan Kardec Barros

  5. Dept. Informatics, University of Sussex, Falmer, Brighton, BN1 9QJ, United Kingdom

    Ron Chrisley

  6. Dept. Computing Science and Mathematics, University of Stirling, Stirling, FK9 4LA, United Kingdom

    Vassilis Cutsuridis

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de Lima do Rego Monteiro, J., Kogler, J.E., Ribeiro, J.H.R., Netto, M.L. (2010). On Building a Memory Evolutive System for Application to Learning and Cognition Modeling. In: Hussain, A., Aleksander, I., Smith, L., Barros, A., Chrisley, R., Cutsuridis, V. (eds) Brain Inspired Cognitive Systems 2008. Advances in Experimental Medicine and Biology, vol 657. Springer, New York, NY. https://doi.org/10.1007/978-0-387-79100-5_2

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