Associative Memory in a Multimodular Network

摘要

Recent imaging studies suggest that object knowledge is stored in the bain as a distributed network of many cortical areas. Motivated by these observations, we study a multimodular associative memory network, whose functional goal is to store patterns with different coding levels- patterns that vary in the number of modules in which they are encoded. We show that in order to accomplish this task, synaptic inputs should Be segregated into intramodular projections and intermodular projec- Tions, with the latter undergoing additional nonlinear dendritic process- Ing.