A Multi-Layer Neural-Mass Model for Learning Sequences using Theta/Gamma oscillations

Abstract

A neural mass model for the memorization of sequences is presented. It exploits three layers of cortical columns that generate a theta/gamma rhythm. The first layer implements an auto-associative memory working in the theta range; the second segments objects in the gamma range; finally, the feedback interactions between the third and the second layers… (More)
DOI: 10.1142/S0129065712500360

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