Claussen JC. (2005). Winner-relaxing self-organizing maps Neural Comput. 17

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References and models cited by this paper

Claussen JC. (1992). Selbstorganisation Neuronaler Karten Diploma thesis.

Claussen JC. (2003). Winner-relaxing and winner-enhancing Kohonen maps: Maximal mutual information from enhancing the winner Complexity. 8

Claussen JC, Villmann TH . (2005). Magnification control in winner-relaxing neural gas Neurocomputing. 63

Dersch DR, Tavan P. (1995). Asymptotic level density in topological feature maps. IEEE transactions on neural networks. 6 [PubMed]

Desieno D. (1988). Adding a conscience to competitive learning Proc Icnn88, International Conference On Neural Networks.

Durbin R, Willshaw D. (1987). An analogue approach to the travelling salesman problem using an elastic net method. Nature. 326 [PubMed]

Herrmann M, Bauer HU, Der R. (1995). Optimal magnification factors in self-organizing maps Proceedings of the International Conference on Artificial Networks.

Herrmann M, Villmann T. (1998). Magnification control in neural maps Proc European Symposium On Artificial Neural Networks.

Heskes T. (1999). Energy functions for self-organizing maps Kohonen maps.

Kohonen T. (1982). Self-organized formation of topology correct feature maps Biol Cybern. 43

Kohonen T. (1991). Self-organizing maps: Optimization approaches Artificial Neural Networks. 2

Linsker R. (1989). How to generate maps by maximizing the mutual information between input and output signals Neural Comput. 1

Obermayer K, Blasdel GG, Schulten K. (1992). Statistical-mechanical analysis of self-organization and pattern formation during the development of visual maps. Physical review. A, Atomic, molecular, and optical physics. 45 [PubMed]

Obermayer K, Graepel T, Burger M. (1997). Phase transitions in stochastic self-organizing maps Physical Rev E. 56

Plumbley MD. (1999). Do cortical maps adapt to optimize information density? Network (Bristol, England). 10 [PubMed]

Ritter H. (1991). Asymptotic level density for a class of vector quantization processes. IEEE transactions on neural networks. 2 [PubMed]

Schulten K, Ritter H. (1986). On the stationary state of Kohonen's self-organizing sensory mapping Biol Cybern. 54

Schulten K, Ritter H. (1988). Convergence properties of Kohonen's topology conserving maps: Fluctuations, stability and dimension selection Biol Cybern. 60

Schulten K, Ritter H, Martinetz T. (1992). Neural Computation and Self-Organizing Maps: An Introduction..

Schuster HG, Claussen JC. (2002). Asymptotic level density of the elastic net self-organizing feature map Proc. International Conf. on Artificial Neural Networks (ICANN).

Van Hulle MM. (1998). Kernel-Based Equiprobabilistic Topographic Map Formation. Neural computation. 10 [PubMed]

Van Hulle MM. (2002). Kernel-based topographic map formation by local density modeling. Neural computation. 14 [PubMed]

Van_hulle MM. (1997). Nonparametric density estimation and regression achieved with topographic maps maximizing the information-theoretic entropy of their outputs Biol Cybern. 77

Van_hulle MM. (2000). Faithful representations and topographic maps from distortion- to information-based self-organization.

References and models that cite this paper

Villmann T, Claussen JC. (2005). Magnification Control in Self-Organizing Maps and Neural Gas Neural Comput. 18

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