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