PubMed · 8982237
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R Bendor-Samuel. 1997. Mnemonics in plastic surgery.. https://doi.org/10.1097/00006534-199701000-00069
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Protein phosphorylation has long been known to play a key role in triggering the synaptic changes underlying learning and memory. Recent studies highlight the importance of tightly regulated dephosphorylation as a mechanism controlling the induction of long-term synaptic change and lasting memory.
In this paper, we consider the problem of realizing associative memories via space-varying CNNs (cellular neural networks). Based on some known results and a newly derived theorem for the CNN model, we propose a synthesis procedure for obtaining a space-varying CNN that can store given bipolar vectors with certain desirable properties. The major part of our synthesis procedure consists of solving generalized eigenvalue problems and/or linear matrix inequality problems, which can be efficiently solved by recently developed interior point methods. The validity of the proposed approach is illustrated by a design example.
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