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Self-organized Short-Term Memory Mechanism in Spiking Neural Network

  • Mikhail Kiselev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6593)

Abstract

The paper is devoted to implementation and exploration of evolutionary development of the short-term memory mechanism in spiking neural networks (SNN) starting from initial chaotic state. Short-term memory is defined here as a network ability to store information about recent stimuli in form of specific neuron activity patterns. Stable appearance of this effect was demonstrated for so called stabilizing SNN, the network model proposed by the author. In order to show the desired evolutionary behavior the network should have a specific topology determined by “horizontal” layers and “vertical” columns.

Keywords

spiking neural networks spatio-temporal pattern recognition short-term memory neural network self-organization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Mikhail Kiselev
    • 1
  1. 1.Megaputer Intelligence Inc.BloomingtonUSA

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