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SenseLab  Home Data Search Schema Login	[Data] Model Topic Name Attractor Neural Network Description Description A recurrently connected neural network with iterative activation update. A noisy initial pattern (of neural activity) will converge to one of a set of template patterns that is stored in the network by its weighted connections. Because of this property it is also a model of Associative Memory. The Continuous Attractor Network uses continuous activation values (~ firing rates), while the Binary Attractor Network uses {0,1} or {-1,1} as possible neuronal activations. Hierarchy Other categories referring to "Attractor Neural Network" Computational model: Model Concept  (17)   Revisions: 3 Last time: 12/13/2006 3:43:13 PM Reviewer: Tom Morse - MoldelDB admin Owner: Tom Morse - MoldelDB admin
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