Motivated by the high computational abilities of the brain,
many models of artificial neural networks have been investigated.
Both the models themselves (in theoretical properties and biological modelling)
and applications of various network architectures are under investigation:
- Theoretical properties (esp. magnification laws) of Self-Organizing
Feature Maps: Dr. Jens Christian Claussen
- Applications of Neural Networks for Image Processing: Dr. Jens Christian Claussen, Swen Dunkelmann
- Applications of Neural Networks for Source Separation: Dr. Frank Ehlers
- Digital Signal Processing and Speech recognition: Dr. Frank Ehlers
- Stochastic automata: Dr. Jan Christopher Stiller
- Hidden-Markov-Models: Dr. Jan Christopher Stiller
- Biological oscillations: Dr. Jan Christopher Stiller
- Biological Reinforcement-Learning: Konstantin Klemm
- Game theory and strategies, Models of Evolution, and Genetic algorithms: Dr. Christoph Hauert, Olaf Stenull
http://www.theo-physik.uni-kiel.de/theo-physik/schuster/