Using Spatio-temporal Correlations to Le
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Guy Wallis
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Article
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1996
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Elsevier Science
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English
β 866 KB
A competitive network is described which learns to classify objects on the basis of temporal as well as spatial correlations. This is achieved by using a Hebb-Iike learning rule which is dependent upon prior as well as current neural activity. The rule is shown to be capable ofoutperforming a superv