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
Type | Article |
---|---|
Title | Variable binding by synaptic strength change |
Authors | Huyck, 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 |
Research Group | Artificial Intelligence group |
Publisher | Taylor and Francis |
Journal | Connection Science |
ISSN | 0954-0091 |
Publication dates | |
2009 | |
Publication process dates | |
Deposited | 02 Mar 2010 |
Output status | Published |
Digital Object Identifier (DOI) | https://doi.org/10.1080/09540090902954188 |
Language | English |
File |
https://repository.mdx.ac.uk/item/824w7
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