Processing of Temporal Sequences in Neural Networks
- 11 July 1988
- journal article
- research article
- Published by American Physical Society (APS) in Physical Review Letters
- Vol. 61 (2) , 235-238
- https://doi.org/10.1103/physrevlett.61.235
Abstract
We study three ways of processing of temporal sequences of patterns stored in a neural network; retrieval, counting, and recognition. These three processes are studied analytically in a strongly diluted neural network. The results compare qualitatively to simulations in fully connected networks.Keywords
This publication has 14 references indexed in Scilit:
- Statistical mechanics of neural networks near saturationPublished by Elsevier ,2004
- Neural networks that learn temporal sequences by selection.Proceedings of the National Academy of Sciences, 1987
- Temporal Association in Asymmetric Neural NetworksPhysical Review Letters, 1986
- Sequential state generation by model neural networks.Proceedings of the National Academy of Sciences, 1986
- Neural networks with nonlinear synapses and a static noisePhysical Review A, 1986
- Spin-glass models of neural networksPhysical Review A, 1985
- Neurons with graded response have collective computational properties like those of two-state neurons.Proceedings of the National Academy of Sciences, 1984
- Neural networks and physical systems with emergent collective computational abilities.Proceedings of the National Academy of Sciences, 1982
- A statistical theory of short and long term memoryBehavioral Biology, 1975
- The existence of persistent states in the brainMathematical Biosciences, 1974