Variable binding by synaptic strength change

Article

Huyck, C. 2009. Variable binding by synaptic strength change. Connection Science. 21 (4), pp. 327-357. https://doi.org/10.1080/09540090902954188
TypeArticle
TitleVariable binding by synaptic strength change
AuthorsHuyck, C.
Abstract

Variable binding is a difficult problem for neural networks. Two new mechanisms for binding by synaptic change are presented, and in both, bindings are erased and can be reused. The first is based on the commonly used learning mechanism of permanent change of synaptic weight, and the second on synaptic change which decays. Both are biologically motivated models. Simulations of binding on a paired association task are shown with the first mechanism succeeding with a 97.5% F-Score, and the second performing perfectly. Further simulations show that
binding by decaying synaptic change copes with cross talk,
and can be used for compositional semantics. It can be inferred that binding by permanent change accounts for these, but it faces the stability plasticity dilemma. Two other existing binding mechanism, synchrony and active links, are compatible with these new mechanisms. All four
mechanisms are compared and integrated in a Cell Assembly theory.

Research GroupArtificial Intelligence group
PublisherTaylor and Francis
JournalConnection Science
ISSN0954-0091
Publication dates
Print2009
Publication process dates
Deposited02 Mar 2010
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1080/09540090902954188
LanguageEnglish
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