Open AccessProceedings Article
Multi-modular Associative Memory
Nir Levy,David Horn,Eytan Ruppin +2 more
- 01 Dec 1997
- Vol. 10, pp 52-58
TL;DR: It is shown that the segregation of synaptic conductances into intra- modular linear and inter-modular nonlinear ones considerably enhances the network's memory retrieval performance.
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Abstract: Motivated by the findings of modular structure in the association cortex, we study a multi-modular model of associative memory that can successfully store memory patterns with different levels of activity. We show that the segregation of synaptic conductances into intra-modular linear and inter-modular nonlinear ones considerably enhances the network's memory retrieval performance. Compared with the conventional, single-module associative memory network, the multi-modular network has two main advantages: It is less susceptible to damage to columnar input, and its response is consistent with the cognitive data pertaining to category specific impairment.
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