The Effect of Different Types of Synaptic Plasticity on the Performance of Associative Memory Networks with Excitatory and Inhibitory Sub-populations

  • Alex Metaxas
  • Reinoud Maex
  • Volker Steuber
  • Rod Adams
  • Neil Davey
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7223)

Abstract

In real neuronal networks it is known that neurons are either excitatory or inhibitory. However, it is not known whether all synapses within the subpopulations are plastic. It is interesting to investigate the implications these constraints may have on functionality. Here we investigate highly simplified models of associative memory with a variety of allowed synaptic plasticity regimes. We show that the allowed synaptic plasticity does indeed have a large effect on the performance of the network and that some regimes are much better than others.

Keywords

Synaptic plasticity associative memory sign constraint excitatory/ inhibitory neurons 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Alex Metaxas
    • 1
  • Reinoud Maex
    • 1
  • Volker Steuber
    • 1
  • Rod Adams
    • 1
  • Neil Davey
    • 1
  1. 1.Science and Technology Research InstituteUniversity of HertfordshireUK

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