References
- Sanger T D. Optimal unsupervised learning in a single-layer linear feedforward neural network. Neural Networks 1989; 2: 459–73
- Barrow H G. Learning receptive fields. IEEE Int. Conf. on Neural Networks (San Diego 1987). IEEE, New York 1987; 115–21
- Linsker R. From basic network principles to neural architecture. Proc. Natl Acad. Sci. USA 1986; 83: 7508-12, 8390-4, 8779–83
- Linsker R. Self-organization in a perceptual network. Computer 1988; 105–17
- MacKay D J. C, Miller K D. Analysis of Linsker's simulation of Hebbian rules. Neural Computation 1990; 2: 173–87
- MacKay D J. C, Miller K D. Analysis of Linsker's simulations of Hebbian rules to linear networks. Netw, Comput. Neural Syst. 1990; 1: 257–97
- Rubner J, Schulten K. Development of feature detectors by self-organization. Biol. Cybernetics 1990; 62: 193–9
- Oja E. A simplified neuron model as a principal component analyzer. J. Math. Biol. 1982; 15: 267–73
- Hertz J, Krogh A, Palmer R G. Introduction to the Theory of Neural Computation Santa Fe Institute Studies in the Sciences of Complexity). Addison-Wesley, MA 1990, Reading
- Foster D H, Ward P A. Asymmetries in oriented-line detection indicate two orthogonal filters in early vision. Proc. R. Soc. B 1991; 243: 75–81
- Baddeley R J, Hancock P J B. A statistical analysis of natural images predicts psychophysically derived orientation tuning curves. Proc. R. Soc. B. 1991, submitted
- Orban G A. Neuronal Operations in the Visual Cortex. Springer, Berlin 1984
- Becker S, Hinton G E. Spatial coherence as an internal teacher for a neural network. Technical Report. University of Toronto, Department of Computer Science. 1989, TR CRG-TR-89-7