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Multi-modular Associative Memory

 Nir Levy, David Horn and Eytan Ruppin
  
 

Abstract:
Motivated by the findings of modular structure in the cortex, we study a multi-modular model of associative memory that successfully stores memory patterns with different levels of activity. We differentiate between two types of synaptic efficacies, intra-modular and inter-modular ones. The latter signals undergo an additional nonlinear processing before reaching the soma. Compared with the conventional, single-module associative memory network, this multi-modular network has two main advantages: it is less susceptible to damage to columnar input, and its response is more consistent with the cognitive data pertaining to category specific impairments.

 
 


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