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Storing cycles in Hopfield-type networks with pseudoinverse learning rule: Admissibility and network topology
Affiliation:1. CNR - Consiglio Nazionale delle Ricerche - Istituto Nazionale di Ottica, Via Sansone 1, Sesto Fiorentino (FI) I-50019, Italy;2. CNR - Consiglio Nazionale delle Ricerche - Istituto dei Sistemi Complessi, via Madonna del Piano 10, Sesto Fiorentino I-50019, Italy;3. INFN, Sezione di Firenze, Via Sansone 1, Sesto Fiorentino (FI) I-50019, Italy;4. Department of Information Engineering, University of Florence, via di Santa Marta 3, Florence 50139, Italy;5. Laboratoire de Physique Théorique et Modélisation, Université de Cergy-Pontoise,CNRS, UMR 8089, Cergy-Pontoise cedex 95302, France
Abstract:
Keywords:Cyclic patterns  Hopfield-type networks  Pseudoinverse learning rule  Admissibility  Network topology
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