Memory Dynamics in Attractor Networks

As can be represented by neurons and their synaptic connections, attractor networks are widely believed to underlie biological memory systems and have been used extensively in recent years to model the storage and retrieval process of memory. In this paper, we propose a new energy function, which is...

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Bibliographic Details
Main Authors: Guoqi Li, Kiruthika Ramanathan, Ning Ning, Luping Shi, Changyun Wen
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Computational Intelligence and Neuroscience
Online Access:http://dx.doi.org/10.1155/2015/191745