Dynamics of learning in linear feature-discovery networks
- 1 February 1991
- journal article
- Published by Taylor & Francis in Network: Computation in Neural Systems
- Vol. 2 (1) , 85-105
- https://doi.org/10.1088/0954-898x/2/1/005
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Analysis of Linsker's application of Hebbian rules to linear networksNetwork: Computation in Neural Systems, 1990
- Development of feature detectors by self-organizationBiological Cybernetics, 1990
- NEURAL NETWORKS, PRINCIPAL COMPONENTS, AND SUBSPACESInternational Journal of Neural Systems, 1989
- Convergent activation dynamics in continuous time networksNeural Networks, 1989
- Pattern recognition and associative memory as dynamical processes in a synergetic systemBiological Cybernetics, 1988
- Self-organization in a perceptual networkComputer, 1988
- On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrixJournal of Mathematical Analysis and Applications, 1985
- Simplified neuron model as a principal component analyzerJournal of Mathematical Biology, 1982
- Analysis of recursive stochastic algorithmsIEEE Transactions on Automatic Control, 1977