STORAGE CAPACITY OF EXTREMELY DILUTED HOPFIELD MODEL

Burcu Akcan () and Yi̇ği̇t Gündüç ()
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Burcu Akcan: Physics Engineering Department, Hacettepe University, Beytepe, Ankara, 06530, Turkey
Yi̇ği̇t Gündüç: Physics Engineering Department, Hacettepe University, Beytepe, Ankara, 06530, Turkey

International Journal of Modern Physics C (IJMPC), 2004, vol. 15, issue 03, 393-401

Abstract: The storage capacity of the extremely diluted Hopfield Model is studied by using Monte Carlo techniques. In this work, instead of diluting the synapses according to a given distribution, the dilution of the synapses is obtained systematically by retaining only the synapses with dominant contributions. It is observed that by using the prescribed dilution method the critical storage capacity of the system increases with decreasing number of synapses per neuron reaching almost the value obtained from mean-field calculations. It is also shown that the increase of the storage capacity of the diluted system depends on the storage capacity of the fully connected Hopfield Model and the fraction of the diluted synapses.

Keywords: Hopfield Model; extremely diluted neural networks; storage capacity; Monte Carlo simulation (search for similar items in EconPapers)
Date: 2004
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DOI: 10.1142/S0129183104005802

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