A learning algorithm to teach spatiotemporal patterns to recurrent neural networks
- 1 January 1990
- journal article
- research article
- Published by Springer Nature in Biological Cybernetics
- Vol. 62 (3) , 259-263
- https://doi.org/10.1007/bf00198101
Abstract
No abstract availableThis publication has 7 references indexed in Scilit:
- A Learning Algorithm for Continually Running Fully Recurrent Neural NetworksNeural Computation, 1989
- Learning State Space Trajectories in Recurrent Neural NetworksNeural Computation, 1989
- Network model of shape-from-shading: neural function arises from both receptive and projective fieldsNature, 1988
- Generalization of back-propagation to recurrent neural networksPhysical Review Letters, 1987
- Neurons with graded response have collective computational properties like those of two-state neurons.Proceedings of the National Academy of Sciences, 1984
- Absolute stability of global pattern formation and parallel memory storage by competitive neural networksIEEE Transactions on Systems, Man, and Cybernetics, 1983
- Neural networks and physical systems with emergent collective computational abilities.Proceedings of the National Academy of Sciences, 1982