Spin Glasses as Model Systems for Neural Networks

Spin glasses are disordered magnetic materials with unusual magnetic properties. The complicated structure of the phase space, especially the existence of infinitely many metastable states, leads to long time relaxational processes. Important experiments and models are briefly outlined. Analytical and numerical results for a mean-field-model of spin glasses are discussed. This model has the interesting property to learn and process information, hence it has recently been suggested that it may be a simple model for neural networks.

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