Multi-state neural networks based upon spin-glasses: a biased overview
Abstract
Description
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.
Review chapter to appear in Advances in Condensed Matter and Statistical Mechanics, ed. by E. Korutcheva and R. Cuerno, Nova Science Publishers (38 pages Latex with 12 eps-figures)
Review chapter to appear in Advances in Condensed Matter and Statistical Mechanics, ed. by E. Korutcheva and R. Cuerno, Nova Science Publishers (38 pages Latex with 12 eps-figures)