Variable binding by synaptic strength change
Huyck, Christian R. ORCID: https://orcid.org/0000-0003-4015-3549
(2009)
Variable binding by synaptic strength change.
Connection Science, 21
(4)
.
pp. 327-357.
ISSN 0954-0091
[Article]
(doi:10.1080/09540090902954188)
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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.
Item Type: | Article |
---|---|
Research Areas: | A. > School of Science and Technology > Computer Science A. > School of Science and Technology > Computer Science > Artificial Intelligence group |
Item ID: | 4301 |
Useful Links: | |
Depositing User: | Chris Huyck |
Date Deposited: | 02 Mar 2010 14:29 |
Last Modified: | 30 Nov 2022 01:33 |
URI: | https://eprints.mdx.ac.uk/id/eprint/4301 |
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