Berthold Ruf

Dipl.-Inform.Dr.Berthold Ruf

Teaching Information (in German)

Publications

[1]

W. Maass and B. Ruf. On computation with pulses. Information & Computation 148:202-218, 1999. (Gzipped PostScript, 20 pages, 164798 bytes)

 

 

[2]

T. Natschläger and B. Ruf. Learning radial basis functions with spiking neurons using action potential timing. In L. S. Smith and A. Hamilton, editors, Neuromorphic systems: Engineering silicon from neurobiology (to appear). World Scientific, 1998.

 

 

[3]

T. Natschläger and B. Ruf. Spatial and temporal pattern analysis via spiking neurons. Network, 9(3):319-332, 1998. (Gzipped PostScript, 15 pages, 178564 bytes)

 

 

[4]

B. Ruf. Computing and learning with spiking neurons - theory and simulations. PhD thesis, TU Graz, 1998.(Gzipped PostScript, 110 pages, 483850 bytes)

 

 

[5]

B. Ruf. Networks of spiking neurons can compute linear functions using action potential timing. In T. Lindblad, editor, Proc. of the VI-Dynn 98 conference (to appear). Spie, 1998.

 

 

[6]

B. Ruf and M. Schmitt. Self-organization of spiking neurons using action potential timing. IEEE Transactions on Neural Networks, 9:3:575-578, 1998. (Gzipped PostScript, 5 pages, 60453 bytes)

 

 

[7]

B. Ruf and M. Schmitt. Self-organizing maps of spiking neurons using temporal coding. In J. Bower, editor, Computational Neuroscience: Trends in Research 1998 (to appear). Plenum Press, 1998. (Gzipped PostScript, 3 pages, 17905 bytes)

 

 

[8]

E. Kranakis, D. Krizanc, B. Ruf, J. Urrutia, and G. Woeginger. The VC-dimension of set-systems defined by graphs. Journal of discrete applied mathematics, 77:237-257, 1997. (Gzipped PostScript, 23 pages, 76737 bytes)

 

 

[9]

B. Ruf. Computing functions with spiking neurons in temporal coding. In J. Mira, R. Moreno-Diaz, and J. Cabestany, editors, Biological and artificial computation: From neuroscience to technology, volume 1240 of Lecture Notes in Computer Science, pages 265-272. Springer, Berlin, 1997. (Gzipped PostScript, 8 pages, 47382 bytes)

 

 

[10]

B. Ruf and M. Schmitt. Hebbian learning in networks of spiking neurons using temporal coding. In J. Mira, R. Moreno-Diaz, and J. Cabestany, editors, Biological and artificial computation: From neuroscience to technology, volume 1240 of Lecture Notes in Computer Science, pages 380-389. Springer, Berlin, 1997. (Gzipped PostScript, 10 pages, 62857 bytes)

 

 

[11]

B. Ruf and M. Schmitt. Learning temporally encoded patterns in networks of spiking neurons. Neural Processing Letters, 5(1):9-18, 1997.

 

 

[12]

B. Ruf and M. Schmitt. Unsupervised learning in networks of spiking neurons using temporal coding. In W. Gerstner, A. Germond, M. Hasler, and J. Nicoud, editors, Proc. of the 7th International Conference on Artificial Neural Networks, volume 1327 of Lecture Notes in Computer Science, pages 361-366. Springer, Berlin, 1997. (Gzipped PostScript, 6 pages, 49479 bytes)

 

 

[13]

B. Ruf. Pattern recognition with networks of spiking neurons. In Workshop on Neural Networks Dynamics and Pattern Recognition, Toulouse, pages 25-26. Onera, Centre d'Etudes et de Recherches de Toulouse, 1996. (Gzipped PostScript, 2 pages, 17908 bytes)

 

 

[14]

E. Kranakis, D. Krizanc, B. Ruf, J. Urrutia, and G. Woeginger. VC-dimensions for graphs. In M. Nagl, editor, Graph-theoretic concepts in computer science, volume 1017 of Lecture Notes in Computer Science, pages 1-13, Berlin, 1995. Springer. (Gzipped PostScript, 11 pages, 57367 bytes)

[15]

W. Maass and B. Ruf. On the relevance of the shape of postsynaptic potentials for the computational power of networks of spiking neurons. In Proc. of the International Conference on Artificial Neural Networks ICANN, pages 515-520, Paris, 1995. EC2. (Gzipped PostScript, 6 pages, 41286 bytes)

 

 

[16]

B. Ruf. A stop criterion for the boltzmann machine learning algorithm. In M. Verleysen, editor, Proc. of the 2nd european symposium on artificial neural networks, pages 109-116, Brussels, 1994. (Gzipped PostScript, 10 pages, 59400 bytes)

[17]

B. Ruf. Sequentielle und parallele Lernverfahren für Boltzmann-Maschinen. Master's thesis, Rheinisch-Westfälische Technische Hochschule Aachen, Germany, 1993. (in German). (Gzipped PostScript, 82 pages, 350655 bytes)