Self-control dynamics for sparsely coded networks with synaptic noise

D. Bolle'; R. Heylen

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arXiv · cond-mat/0403576

Self-control dynamics for sparsely coded networks with synaptic noise

D. Bolle'·R. Heylen

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Abstract

For the retrieval dynamics of sparsely coded attractor associative memory models with synaptic noise the inclusion of a macroscopic time-dependent threshold is studied. It is shown that if the threshold is chosen appropriately as a function of the cross-talk noise and of the activity of the memorized patterns, adapting itself automatically in the course of the time evolution, an autonomous functioning of the model is guaranteed. This self-control mechanism considerably improves the quality of the fixed-point retrieval dynamics, in particular the storage capacity, the basins of attraction and the mutual information content.

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D. Bolle', R. Heylen. 2004-03-23. Self-control dynamics for sparsely coded networks with synaptic noise. https://arxiv.org/abs/cond-mat/0403576

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