A high-capacity model for one shot association learning in the brain

A high-capacity model for one shot association learning in the brain

We present a high-capacity model for one-shot association learning(hetero-associative memory) in sparse networks. We assume that basic patternsare pre-learned in networks and associations between two patterns are presentedonly once and have to be learned immediately. The model is a combination of a...

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Bibliographic Details
Main Authors:	Hafsteinn eEinarsson, Johannes eLengler, Angelika eSteger
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2014-11-01
Series:	Frontiers in Computational Neuroscience
Subjects:	Association Learning Hetero-associative Network Memory capacity One shot learning Relation Learning Bootstrap Percolation and Propagation
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00140/full

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