Multi-state neural networks based upon spin-glasses: a biased overview

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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Review chapter to appear in Advances in Condensed Matter and Statistical Mechanics, ed. by E. Korutcheva and R. Cuerno, Nova S

Scientific paper

Recent results are reviewed on both the time evolution and retrieval
properties of multi-state neural networks that are based upon spin-glass
models. In particular, the properties of models with neuron states having
Q-Ising symmetry are discussed for various architectures. The main common
features and differences are highlighted.

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