Local Synaptic Learning Rules Suffice to Maximize Mutual Information in a Linear Network
- 1 September 1992
- journal article
- Published by MIT Press in Neural Computation
- Vol. 4 (5) , 691-702
- https://doi.org/10.1162/neco.1992.4.5.691
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Dynamics of learning in linear feature-discovery networksNetwork: Computation in Neural Systems, 1991
- PREDICTING GANGLION AND SIMPLE CELL RECEPTIVE FIELD ORGANIZATIONSInternational Journal of Neural Systems, 1991
- Towards a Theory of Early Visual ProcessingNeural Computation, 1990
- Unsupervised LearningNeural Computation, 1989
- How to Generate Ordered Maps by Maximizing the Mutual Information between Input and Output SignalsNeural Computation, 1989
- Self-organization in a perceptual networkComputer, 1988
- A transformation for ordering multispectral data in terms of image quality with implications for noise removalIEEE Transactions on Geoscience and Remote Sensing, 1988
- Pattern-recognizing stochastic learning automataIEEE Transactions on Systems, Man, and Cybernetics, 1985
- The function of dream sleepNature, 1983