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| 257. A three-dimensional model of the morphogenesis of the rhesus lateral
geniculate nucleus.
Svilen Tzonev, Joseph Malpeli, and Klaus Schulten.
Beckman Institute Technical Report, University of Illinois, 1998.
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| 246. Learning the perceptual control manifold for sensor-based robot path
planning.
Michael Zeller, Rajeev Sharma, and Klaus Schulten.
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| 238. Vision-based robot motion planning using a topology representing
neural network.
Michael Zeller, Rajeev Sharma, and Klaus Schulten.
In Jens Kalkkuhl, Ken Hunt, Rafal Zbikowski, and Andrzej Dzielinski,
editors, Applications of Neural Adaptive Control Technology, volume 17
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| 235. Motion planning of a pneumatic robot using a neural network.
Michael Zeller, Rajeev Sharma, and Klaus Schulten.
IEEE Control Systems Magazine, 17:89-98, 1997.
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| 231. Analysis and control of a rubbertuator arm.
P. van der Smagt, F. Grön, and K. Schulten.
Biological Cybernetics, 75:433-440, 1996.
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| 230. Vision-based motion planning of a pneumatic robot using a topology
representing neural network.
Michael Zeller, Rajeev Sharma, and Klaus Schulten.
In Proceedings of 1996 IEEE Int. Symposium on Intelligent
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| 229. Topology representing network for sensor-based robot motion planning.
Michael Zeller, Rajeev Sharma, and Klaus Schulten.
In Proceedings of the 1996 World Congress on Neural Networks,
pp. 100-103. INNS Press, 1996.
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| 219. A numerical study of learning curves in stochastic multi-layer
feed-forward networks.
K.-R. Müller, N. Murata, M. Finke, K. Schulten, and S. Amari.
Neural Computation, 8:1085-1106, 1995.
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| 217. Topology representing maps and brain function.
Klaus Schulten and Michael Zeller.
In Nova Acta Leopoldina NF, volume 72, pp. 133-157.
Jahresversammlungsband, 1996.
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| 212. Biological visuo-motor control of a pneumatic robot arm.
Michael Zeller, K. R. Wallace, and Klaus Schulten.
In Dagli et al., editors, Intelligent Engineering Systems
Through Artificial Neural Networks, volume 5, pp. 645-650, New York, 1995.
American Society of Mechanical Engineers.
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| 204. Large scale simulations for learning curves.
K.-R. Müller, M. Finke, N. Murata, K. Schulten, and S. Amari.
In Jong-Hoon Oh, Chulan Kwon, and Sungzoon Cho, editors,
Progress in Neural Processing Vol. 1 / Neural Networks: The Statistical
Mechanics Perspective, pp. 73-84. World Scientific, Singapore, 1995.
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| 194. Noise-induced neuronal oscillations.
Christian Kurrer and Klaus Schulten.
Physical Review E, 51:6213-6218, 1995.
|
| 191. Models of orientation and ocular dominance columns in the visual
cortex: A critical comparison.
Edgar Erwin, Klaus Obermayer, and Klaus Schulten.
Neural Computation, 7:425-468, 1995.
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| 190. Morphogenesis of the lateral geniculate nucleus: How singularities
affect global structure.
Svilen Tzonev, Joseph Malpeli, and Klaus Schulten.
In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in
Neural Information Processing Systems 7, pp. 133-140, Cambridge, Mass and
London, England, 1995. MIT Press.
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| 189. A critical comparison of models for orientation and ocular dominance
columns in the striate cortex.
Edgar Erwin, Klaus Obermayer, and Klaus Schulten.
In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in
Neural Information Processing Systems 7, pp. 93-100. MIT Press, Cambridge,
Mass and London, England, 1995.
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| 183. Topology representing network in robotics.
Kakali Sarkar and Klaus Schulten.
In J. Leo van Hemmen, Eytan Domany, and Klaus Schulten, editors,
Models of Neural Networks, volume 3 of Physics of Neural Networks, pp.
281-302. Springer-Verlag, New York, 1996.
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| 182. A neural network with Hebbian-like adaptation rules learning
visuomotor coordination of a PUMA robot.
Thomas Martinetz and Klaus Schulten.
In Proceedings of the IEEE International Conference on Neural
Networks (ICNN-93), San Francisco, pp. 820-825, 1993.
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| 181. Control of pneumatic robot arm dynamics by a neural network.
Patrick van der Smagt and Klaus Schulten.
In Proceedings of the World Congress on Neural Networks,
Portland, OR, July 11-15, volume 3, pp. 180-183, 1993.
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| 180. A comparison of models of visual cortical map formation.
Edgar Erwin, Klaus Obermayer, and Klaus Schulten.
In Frank H. Eeckman and James M. Bower, editors, Computation and
Neural Systems, chapter 60, pp. 395-402. Kluwer Academic Publishers, 1993.
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| 178. Topology representing networks.
Thomas Martinetz and Klaus Schulten.
Neural Networks, 7:507-522, 1994.
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| 175. Neural network control of a pneumatic robot arm.
Ted Hesselroth, Kakali Sarkar, P. Patrick van der Smagt, and Klaus Schulten.
IEEE Transactions on Systems, Man, and Cybernetics,
24:28-37, 1994.
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| 170. A comparison between a neural network model for the formation of
brain maps and experimental data.
Klaus Obermayer, Klaus Schulten, and Gary G. Blasdel.
In D. S. Touretzky and R. Lippman, editors, Advances in Neural
Information Processing Systems 4, pp. 83-90. Morgan Kaufmann Publishers,
1992.
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| 168. Implementation of self-organizing neural networks for visuo-motor
control of an industrial robot.
Jörg A. Walter and Klaus Schulten.
IEEE Transactions on Neural Networks, 4:86-95, 1993.
|
| 167. Statistical-mechanical analysis of self-organization and pattern
formation during the development of visual maps.
Klaus Obermayer, Gary G. Blasdel, and Klaus Schulten.
Physical Review A, 45:7568-7589, 1992.
|
| 164. Self-organizing maps: Stationary states, metastability and
convergence rate.
Edgar Erwin, Klaus Obermayer, and Klaus Schulten.
Biological Cybernetics, 67:35-45, 1992.
|
| 163. Self-organizing maps: Ordering, convergence properties and energy
functions.
Edgar Erwin, Klaus Obermayer, and Klaus Schulten.
Biological Cybernetics, 67:47-55, 1992.
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| 160. Vector quantization algorithm for time series prediction and
visuo-motor control of robots.
Stanislav G. Berkovitch, Philippe Dalger, Ted Hesselroth, Thomas Martinetz,
Benoît Noël, Jörg A. Walter, and Klaus Schulten.
In W. Brauer and D. Hernandez, editors, Verteilte
Künstliche Intelligenz Und Kooperatives Arbeiten, volume 291 of
Informatikfachberichte, pp. 443-447. Springer, Berlin, 1991.
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| 159. Textbook: Neural Computation and Self-Organizing Maps: An
Introduction.
Helge Ritter, Thomas Martinetz, and Klaus Schulten.
Addison-Wesley, New York, revised English edition, 1992.
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| 158. Formation of dimension-reducing somatotopic maps.
Edgar Erwin, Klaus Obermayer, and Klaus Schulten.
In Samir I. Sayegh, editor, Proceedings of the Fourth Conference
on Neural Networks and Parallel Distributed Processing, pp. 115-126.
Indiana University at Fort Wayne, 1992.
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| 155. Development and spatial structure of cortical feature maps: A model
study.
Klaus Obermayer, Helge Ritter, and Klaus Schulten.
In D. Touretzky and R. Lippman, editors, Advances in Neural
Information Processing Systems 3, pp. 11-17. Morgan Kaufmann, San Mateo CA,
1991.
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| 154. Dynamics of synchronous neural activity in the visual cortex.
Christian Kurrer, Benno Nieswand, and Klaus Schulten.
In Teuvo Kohonen, Kai Mäkisara, Olli Simula, and Jari Kangas,
editors, Artificial Neural Networks, pp. 133-138. Elsevier, Amsterdam,
1991.
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| 153. Industrial robot learns visuo-motor coordination by means of "neural
gas" network.
Jörg A. Walter, Thomas Martinetz, and Klaus Schulten.
In Teuvo Kohonen, Kai Mäkisara, Olli Simula, and Jari Kangas,
editors, Artificial Neural Networks, pp. 357-364. Elsevier, Amsterdam,
1991.
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| 152. Convergence properties of self-organizing maps.
Edgar Erwin, Klaus Obermayer, and Klaus Schulten.
In Teuvo Kohonen, Kai Mäkisara, Olli Simula, and Jari Kangas,
editors, Artificial Neural Networks, pp. 409-414. Elsevier, Amsterdam,
1991.
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| 151. A neural network model for the formation and for the spatial
structure of retinotopic maps, orientation- and ocular dominance columns.
Klaus Obermayer, Gary G. Blasdel, and Klaus Schulten.
In Teuvo Kohonen, Kai Mäkisara, Olli Simula, and Jari Kangas,
editors, Artificial Neural Networks, pp. 505-511. Elsevier, Amsterdam,
1991.
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| 150. A "neural gas" network learns topologies.
Thomas Martinetz and Klaus Schulten.
In Teuvo Kohonen, Kai Mäkisara, Olli Simula, and Jari Kangas,
editors, Artificial Neural Networks, pp. 397-402. Elsevier, Amsterdam,
1991.
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| 149. "Neural gas" for vector quantization and its application to
time-series prediction.
Thomas M. Martinetz, Stanislav G. Berkovich, and Klaus Schulten.
IEEE Transactions on Neural Networks, 4:558-569, 1993.
|
| 148. A neural network for robot control: Cooperation between neural units
as a requirement for learning.
Thomas Martinetz and Klaus Schulten.
Computers & Electrical Engineering, 19:315-332, 1993.
|
| 145. A model for the development of the spatial structure of retinotopic
maps and orientation columns.
Klaus Obermayer, Helge Ritter, and Klaus Schulten.
IEICE Transactions on Fundamentals of Electronics
Communications and Computer Sciences, E75-A:537-545, 1992.
Reprinted in The Principles of Organization in Organisms -
Santa Fe Institute Studies in the Sciences of Complexity, Vol. XII.
A. Baskin and J. Mittenthal, Eds. (Addison Wesley, 1991).
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| 144. A model for synchronous activity in the visual cortex.
Christian Kurrer, Benno Nieswand, and Klaus Schulten.
In A. Babloyantz, editor, Self-Organization, Emergent
Properties, and Learning, volume 260 of NATO Science Series B:
Physics, pp. 81-95. Plenum Press, New York, 1991.
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| 140. Simulation of self-organizing neural nets: A comparision between a
transputer ring and a Connection Machine CM-2.
Klaus Obermayer, Helmut Heller, Helge Ritter, and Klaus Schulten.
In Alan S. Wagner, editor, NATUG 3: Transputer Research and
Applications 3, pp. 95-106, Amsterdam, 1990. North American Transputer
Users Group, IOS Press.
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| 138. A principle for the formation of the spatial structure of cortical
feature maps.
Klaus Obermayer, Helge Ritter, and Klaus Schulten.
Proceedings of the National Academy of Sciences, USA,
87:8345-8349, 1990.
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| 136. Self-organizing maps and adaptive filters.
Helge Ritter, Klaus Obermayer, Klaus Schulten, and Jeanne Rubner.
In J. Leo van Hemmen, Eytan Domany, and Klaus Schulten, editors,
Models of Neural Networks, Physics of Neural Networks, pp. 281-306.
Springer-Verlag, New York, 1991.
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| 133. Large-scale simulations of self-organizing neural networks on
parallel computers: Application to biological modelling.
Klaus Obermayer, Helge Ritter, and Klaus Schulten.
Parallel Computing, 14:381-404, 1990.
|
| 132. Hierarchical neural net for learning control of a robot's arm and
gripper.
Thomas Martinetz and Klaus Schulten.
In International Joint Conference on Neural Networks, San Diego,
California, volume 2, pp. 747-752. The Institute of Electrical and
Electronics Engineers, New York, 1990.
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| 131. A neural network model for the formation of topographic maps in the
CNS: Development of receptive fields.
Klaus Obermayer, Helge Ritter, and Klaus Schulten.
In International Joint Conference on Neural Networks, San Diego,
California, volume 2, pp. 423-429. The Institute of Electrical and
Electronics Engineers, New York, 1990.
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| 130. Non-linear prediction with self-organizing maps.
Jörg A. Walter, Helge Ritter, and Klaus Schulten.
In International Joint Conference on Neural Networks, San Diego,
California, volume 1, pp. 589-594. The Institute of Electrical and
Electronics Engineers, New York, 1990.
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| 122. Textbook: Neuronale Netze: Eine Einführung in Die
Neuroinformatik Selbstorganisierender Abbildungen.
Helge Ritter, Thomas Martinetz, and Klaus Schulten.
Addison-Wesley, Bonn, second enlarged edition, 1990.
|
| 119. A self-organizing network for complete feature extraction.
Jeanne Rubner, Klaus Schulten, and Paul Tavan.
In R. Eckmiller, G. Hartmann, and G. Hauske, editors, Parallel
Processing in Neural Systems and Computers, pp. 365-368. Elsevier,
Amsterdam, 1990.
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| 118. Hierarchical spin model for stereo interpretation using phase
sensitive detectors.
Robert Divko and Klaus Schulten.
In R. Eckmiller, G. Hartmann, and G. Hauske, editors, Parallel
Processing in Neural Systems and Computers, pp. 335-338. Elsevier,
Amsterdam, 1990.
|
| 117. Learning of visuo motor-coordination of a robot arm with redundant
degrees of freedom.
Thomas Martinetz, Helge Ritter, and Klaus Schulten.
In R. Eckmiller, G. Hartmann, and G. Hauske, editors, Parallel
Processing in Neural Systems and Computers, pp. 431-434. Elsevier,
Amsterdam, 1990.
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| 116. Large-scale simulation of a self-organizing neural network: Formation
of a somatotopic map.
Klaus Obermayer, Helge Ritter, and Klaus Schulten.
In R. Eckmiller, G. Hartmann, and G. Hauske, editors, Parallel
Processing in Neural Systems and Computers, pp. 71-74. Elsevier, Amsterdam,
1990.
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| 115. Development of feature detectors by self-organization: A network
model.
Jeanne Rubner and Klaus Schulten.
Biological Cybernetics, 62:193-199, 1990.
|
| 114. Three-dimensional neural net for learning visuo-motor coordination of
a robot arm.
Thomas Martinetz, Helge Ritter, and Klaus Schulten.
IEEE Transactions on Neural Networks, 1:131-136, 1990.
|
| 110. Textbook: Neuronale Netze: Eine Einführung in Die
Neuroinformatik Selbstorganisierender Abbildungen.
Helge Ritter, Thomas Martinetz, and Klaus Schulten.
Addison-Wesley, Bonn, first edition, 1990.
|
| 109. Kohonen's self-organizing map for modeling the formation of the
auditory cortex of a bat.
Thomas Martinetz, Helge Ritter, and Klaus Schulten.
In R. Pfeifer, Z. Schreter, F. Fogelman-Soulié, and L. Steels,
editors, Connectionism in Perspective, pp. 403-412. North-Holland,
Amsterdam, 1989.
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| 108. 3D-neural-net for learning visuomotor-coordination of a robot arm.
Thomas Martinetz, Helge Ritter, and Klaus Schulten.
In Proceedings of the International Joint Conference on Neural
Networks, Washington, volume 2, pp. 351-356, San Diego, 1989. The Institute
of Electrical and Electronics Engineers.
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| 107. On sparsely coded associative memories.
Joachim Buhmann, Robert Divko, and Klaus Schulten.
In L. Personnaz and G. Dreyfus, editors, Neural Networks: From
Models to Applications, N'EURO '88, pp. 360-371. EZIDET, Paris,
1989.
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| 106. Topology-conserving maps for motor control.
Helge Ritter, Thomas Martinetz, and Klaus Schulten.
In L. Personnaz and G. Dreyfus, editors, Neural Networks: From
Models to Applications, N'EURO '88, pp. 579-591. EZIDET, Paris,
1989.
|
| 105. A regularized approach to color constancy.
Jeanne Rubner and Klaus Schulten.
Biological Cybernetics, 61:29-36, 1989.
|
| 104. Topology-conserving maps for learning visuo-motor-coordination.
Helge Ritter, Thomas Martinetz, and Klaus Schulten.
Neural Networks, 2:159-168, 1989.
|
| 103. Wie neuronale Netwerke Roboter steuern können.
Helge Ritter, Thomas Martinetz, and Klaus Schulten.
MC-Computermagazin, 2:48-61, 1989.
|
| 99. Invariant pattern recognition by means of fast synaptic plasticity.
Joachim Buhmann and Klaus Schulten.
In IEEE International Conference on Neural Networks, San Diego,
California, July 24-27, 1988, volume 1, pp. 125-132, New York, 1988. The
Institute of Electrical and Electronics Engineers.
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| 98. Kohonen's self-organizing maps: Exploring their computational
capabilities.
Helge Ritter and Klaus Schulten.
In IEEE International Conference on Neural Networks, San Diego,
California, July 24-27, 1988, volume 1, pp. 109-116, New York, 1988. The
Institute of Electrical and Electronics Engineers.
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| 97. Associative memory with high information content.
Joachim Buhmann, Robert Divko, and Klaus Schulten.
Physical Review A, 39:2689-2692, 1989.
|
| 95. Convergence properties of Kohonen's topology conserving maps:
Fluctuations, stability and dimension selection.
Helge Ritter and Klaus Schulten.
Biological Cybernetics, 60:59-71, 1988.
|
| 86. Storing sequences of biased patterns in neural networks with
stochastic dynamics.
Joachim Buhmann and Klaus Schulten.
In R. Eckmiller and Ch. von der Malsburg, editors, Neural
Computers, Computer and Systems Sciences, pp. 231-242. Springer, 1988.
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| 85. Extending Kohonen's self-organizing mapping algorithm to learn
ballistic movements.
Helge Ritter and Klaus Schulten.
In R. Eckmiller and Ch. von der Malsburg, editors, Neural
Computers, volume 41 of NATO Science Series F: Computer and Systems
Sciences, pp. 393-406. Springer-Verlag, 1988.
|
| 83. Physik Und Gehirn - Wie Dynamische Modelle Von Nervennetzen
Natürliche Intelligenz Erklären.
Joachim Buhmann, Robert Divko, Helge Ritter, and Klaus Schulten.
MC-Computermagazin, 9:108-120, 1987.
|
| 81. Ordnung Aus Chaos, Vernunft Aus Zufall - Physik Biologischer Und
Digitaler Informationsverarbeitung.
Klaus Schulten.
In B.-O. Küppers, editor, Ordnung Aus Dem Chaos, pp.
243-268. Piper Verlag, Munich, 1987.
|
| 78. Noise-driven temporal association in neural networks.
Joachim Buhmann and Klaus Schulten.
Europhysics Letters, 4:1205-1209, 1987.
|
| 77. Influence of noise on the function of a "physiological" neural
network.
Joachim Buhmann and Klaus Schulten.
Biological Cybernetics, 56:313-327, 1987.
|
| 76. Physicists explore human and artificial intelligence.
Joachim Buhmann, Robert Divko, Helge Ritter, and Klaus Schulten.
In Structure and Dynamics of Nucleic Acids, Proteins and
Membranes, pp. 301-328. Plenum Press, 1986.
|
| 75. Planning a dynamic trajectory via path finding in discretized phase
space.
Helge Ritter and Klaus Schulten.
In Parallel Processing: Logic, Organization, and Technology,
volume 253 of Lecture Notes in Computer Science, pp. 29-39. Springer,
1987.
|
| 73. Stochastic spin models for pattern recognition.
Robert Divko and Klaus Schulten.
In J. S. Denker, editor, Neural Networks for Computing, pp.
129-134. American Institute of Physics Publication, Conference Proceedings
151, 1986.
|
| 72. Topology conserving mappings for learning motor tasks.
Helge Ritter and Klaus Schulten.
In J. S. Denker, editor, Neural Networks for Computing, pp.
376-380. American Institute of Physics publication, conference proceedings
151, 1986.
|
| 71. Influence of noise on the behaviour of an autoassociative neural
network.
Joachim Buhmann and Klaus Schulten.
In J. S. Denker, editor, Neural Networks for Computing, pp.
71-76. American Institute of Physics Publication, Conference Proceedings
151, 1986.
|
| 66. A physiological neural network as an autoassociative memory.
Joachim Buhmann and Klaus Schulten.
In E. Bienenstock, F. Fogelman, and G. Weisbuch, editors,
Disordered Systems and Biological Organization, pp. 273-279. Springer,
1986.
|
| 65. Associative recognition and storage in a model network of
physiological neurons.
Joachim Buhmann and Klaus Schulten.
Biological Cybernetics, 54:319-335, 1986.
|
| 62. On the stationary state of Kohonen's self-organizing sensory
mapping.
Helge Ritter and Klaus Schulten.
Biological Cybernetics, 54:99-106, 1986.
|
| 59. Noise-induced neural impulses.
Herbert Treutlein and Klaus Schulten.
European Biophysics Journal, 13:355-365, 1986.
|
| 57. Neuro-kybernetik und künstliche Intelligenz.
Joachim Buhmann, Helge Ritter, and Klaus Schulten.
Computerwoche, 25, 1985.
|
| 53. Noise induced limit cycles of the Bonhoeffer-van der Pol model
of neural pulses.
Herbert Treutlein and Klaus Schulten.
Berichte der Bunsengesellschaft - Physical Chemistry Chemical
Physics, 89:710-718, 1985.
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