Associative Memory - Palm Networks

Springer Textbook

Asymmetric Networks

Springer Textbook

Backpropagation I

Springer Textbook

Backpropagation II

Springer Textbook

The Perceptron

Springer Textbook

The Symmetric Hopfield Model

Springer Textbook

Do the antennal lobes of insects compute principal components?

Submitted to: World Congress on Neural Networks

Interactive Activation and Competition

Springer Textbook

Classifiers

Springer Textbook

Neural Information Processing in Insect Olfactory Systems

Doctoral dissertation, University of Karlsruhe

Optimization Using Neural Networks

Springer Textbook

Real-time models of classical conditioning

International Conference on Neural Networks (ICNN)

Real-time models of classical conditioning

IEEE International Conference on Neural Networks - Conference Proceedings

Stochastic Networks

Springer Textbook

Transformation of Neural Oscillators

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A Comparative Study of Real-Time Models for Classical Conditioning

Learning and Memory: Proceedings of the 23rd Göttingen Neurobiology Conference

A constant prediction model for classical conditioning

Learning and Memory: Proceedings of the 23rd Göttingen Neurobiology Conference

Dynamical odor coding in a model of the antennal lobe

Proceedings of the International Conference on Artificial Neural Networks (ICANN95)

Kinetic models of odor transduction implemented as artificial neural networks - Simulations of the complex response properties of honeybee olfactory neurons

Biological Cybernetics

Artificial neural networks for modeling chemosensory reception

Dagli, CH, B. Fernandez, J. Ghosh, and SRT Kumara, editors, *Intelligent Engineering Systems Through Artificial Neural Networks*

Pattern Segmentation in Recurrent Networks of Biologically Plausible Neural Elements

Intelligent Engineering Systems Using Artificial Neural Networks

Artificial neural networks for modeling chemosensory reception

Artificial Neural Networks in Engineering - Proceedings (ANNIE'94)

Pattern Segmentation in Recurrent Networks of Biologically Plausible Neural Elements

Artificial Neural Networks in Engineering - Proceedings (ANNIE'94)

Models for Chemosensory Receptors: An Approach Using Artificial Neural Networks

Learning to Recognize Scents in the Honey Bee (Apis mellifera)