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| G. Radons, H.G. Schuster, D. Werner | Drift and Diffusion in Backpropagation Networks; in 'Parallel Processing in Neural Systems and Computers', R. Eckmiller et.al. (Eds.), S.261, North Holland, Amsterdam, 1990. |
| G. Radons, H.G. Schuster, D. Werner | Fokker Planck Description of Learning in Backpropagation Networks; in: 'Proceedings of the International Neural Network Conference INNC 90 PARIS', S.993, Kluwer Academic Publishers, 1990. |
| J. Schuchhardt, J.C. Gruel, N. Lüthje, L. Molgedey, G. Radons | Neural Networks for the Classification of Sound Patterns; H.G. Schuster, in 'Applications of Neural Networks', S.239, Ed. H.G. Schuster, VCH Verlag, Weinheim, 1992. |
| G. Radons, H.G. Schuster, D. Werner | Fractal Measures and Diffusion as Results of Learning in Neural Networks; Phys. Lett. A 174, 293 (1993). |
| G. Radons, J. D. Becker | Recognizing and Simulating Neuronal Spike Patterns with Hidden Markov Models; in 'Mustererkennung 1993', Mustererkennung im Dienste der Gesundheit, Reihe: Informatik aktuell, S. 498, Ed. S.J. Pöppl, H. Handels, Springer Verlag, 1993. |
| G. Radons | On Stochastic Dynamics of Supervised Learning; J. Phys. A 26, 3455 (1993). |
| G. Radons, J. D. Becker, B. Dülfer, J. Krüger | Analysis, Classification, and Coding of Multielectrode Spike Trains with Hidden Markov Models; Biol. Cybernetics 71, 359 (1994). |
| S. Dunkelmann, G. Radons | Neural Networks and Abelian Sandpile Models of Self-Organized Criticality; in ICANN '94 (Proceedings of the International Conference on Artificial Neural Networks), M. Marinaro, P.G. Morasso (Eds.), S.867, Springer-Verlag, 1994. |
| G. Radons, V. Breuer, J. Krüger | Simple Reasons for Spatio-Temporal Complexity of Neuronal Spike Trains, in: Supercomputing in Brain Research: From Tomography to Neural Networks. Hrsg.: H. J. Herrmann et. al., S. 249, World Scientific, Singapore, 1995. |