Retrieval phase diagrams in the asymmetric Sherrington-Kirkpatrick model and in the Little-Hopfield model
- 1 November 1992
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review B
- Vol. 46 (18) , 11591-11594
- https://doi.org/10.1103/physrevb.46.11591
Abstract
The effects of random external fields on the retrieval properties of neural networks are examined. Phase diagrams of the fully asymmetric Sherrington-Kirkpatrick model and Little-Hopfield model are obtained. It is shown that the ferromagnetic retrieval states are destroyed by fluctuations induced by random external fields. The probability at zero field determines the size of the basins of attraction. The basin boundary occurring in systems with a discrete random-field distribution cannot be observed in systems with a continuous Gaussian distribution, and are due to the peculiarities of the discrete distribution.Keywords
This publication has 17 references indexed in Scilit:
- Statistical mechanics of neural networks near saturationPublished by Elsevier ,2004
- Dynamic Model of Neural NetworksPhysical Review Letters, 1988
- Mean-field analysis of hierarchical associative networks with 'magnetisation'Journal of Physics A: General Physics, 1988
- THE AUGMENTED MODELS OF ASSOCIATIVE MEMORY ASYMMETRIC INTERACTION AND HIERARCHY OF PATTERNSInternational Journal of Modern Physics B, 1987
- Information storage in neural networks with low levels of activityPhysical Review A, 1987
- Storing Infinite Numbers of Patterns in a Spin-Glass Model of Neural NetworksPhysical Review Letters, 1985
- Spin-glass models of neural networksPhysical Review A, 1985
- Learning and pattern recognition in spin glass modelsZeitschrift für Physik B Condensed Matter, 1985
- Neural networks and physical systems with emergent collective computational abilities.Proceedings of the National Academy of Sciences, 1982
- The existence of persistent states in the brainMathematical Biosciences, 1974