The Role of Excitatory and Inhibitory Learning in EXIN Networks

Abstract

In this paper we propose modifications for the learning rules of Marshall’s EXIN (excitatory + inhibitory) neural network model in order to decrease its computational complexity and understand the role of the weight updating learning rules in correctly encoding familiar, superimposed and ambiguous input patterns. The MEXIN (Modified EXIN) models introduce… (More)

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