A Practical Simulator of Associative Intellectual Machine

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9719)

Abstract

A software program AIM simulating the behavior of an associative intellectual machine (AIM) in various configurations and paths of information transmission among neuron layers is described. The aim is to study the impact of various AIM parameters on the effectiveness and efficiency of information processing in various configurations and modifications of AIMs. The program is written in the interpretative programming language Forth and provides a wide range of options for studying the AIM behavior. It has an open user interface which allows to easily extend or modify the existing toolkit and to conjugate it with other tools for data analysis and visualization.

Keywords

Simulation Forth UI Software engineering Visualization 

References

  1. 1.
    Osipov, V.Yu.: Associative intellectual machine with three signaling systems. Inf. Control Syst. 5, 12–17 (2014). (in Russian)Google Scholar
  2. 2.
    Haykin, S.S., et al.: Neural Networks and Learning Machines, 3rd edn. Pearson Education, Upper Saddle River (2009)Google Scholar
  3. 3.
    Brette, R., et al.: Simulation of networks of spiking neurons: a review of tools and strategies. J. Comput. Neurosci. 23(3), 349–398 (2007)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Zell, A., et al.: SNNS (stuttgart neural network simulator). In: Skrzypek, J. (ed.) Neural Network Simulation Environments. The Kluwer International Series in Engineering and Computer Science, vol. 254, pp. 165–186. Springer, New York (1994)CrossRefGoogle Scholar
  5. 5.
    Demuth, H., Beale, M.: Neural Network Toolbox for Use with MATLAB. The MathWorks, Natick (1998)Google Scholar
  6. 6.
    Elman, J.L.: Learning and development in neural networks: the importance of starting small. Cognition 48, 71–99 (1993)CrossRefGoogle Scholar
  7. 7.
    Goodman, D., Brette, R.: Brian: a simulator for spiking neural networks in python. Front. Neuroinform. 2, article 5 (2008). http://www.frontiersin.org
  8. 8.
    Davison, A., et al.: PyNN: a common interface for neuronal network simulators. Front. Neuroinform. 2, article 11 (2009). http://www.frontiersin.org
  9. 9.
  10. 10.
    VFX Forth for Windows. User Manual. Manual Revision 4.70, MPE Ltd., Southampton (2014). http://www.mpeforth.com/
  11. 11.
    gForth. Free Software Foundation, Inc. (2016). https://www.gnu.org/software/gforth/

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.SPIIRASITMO UniversitySt. PetersburgRussia

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