Mean-field dynamics of sequence processi
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W.K. Theumann
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Article
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2003
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Elsevier Science
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English
β 167 KB
A recent dynamic mean-ΓΏeld theory for sequence processing in fully connected neural networks of HopΓΏeld-type is extended and analyzed here for a symmetrically diluted network with ΓΏnite connectivity near saturation. Equations for the dynamics and the stationary states are obtained for the macroscopi