Search Results for author: Gerhard Dangelmayr

Found 1 papers, 0 papers with code

Storing cycles in Hopfield-type networks with pseudoinverse learning rule: admissibility and network topology

no code implementations19 Nov 2012 Chuan Zhang, Gerhard Dangelmayr, Iuliana Oprea

Simple cycles contain rows from one loop only, and the network topology is a feedforward chain with feedback to one neuron if the loop-vectors in $\Sigma$ are cyclic permutations of each other.

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