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    Chapter

    Optimal Smoothness of Orientation Preference Maps

    We propose a mathematical description for the spatial organization of orientation preference in the visual cortex. The theory is derived from the principle of optimal smoothness and predicts the spatial patter...

    F. Wolf, K. Pawelzik, T. Geisel, D.-S. Kim in Computation in Neurons and Neural Systems (1994)

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    Chapter

    Network Dynamics and Correlated Spikes

    Oscillatory neuronal responses have been suspected to reveal assembly formation via synchronization. We analyse these data in terms of a hidden-state model, the parameters of which are estimated directly from ...

    K. Pawelzik, F. Wolf, J. Deppisch, T. Geisel in Computation in Neurons and Neural Systems (1994)

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    Chapter

    Hierarchical Architectures for Optimized Training

    We have developed a procedure for optimized training of large feed-forward neural networks of arbitrary topologies which is based on hierarchical architectures combined with a backpropagation learning rule. Co...

    J. Deppisch, H.-U. Bauer, T. Geisel in International Neural Network Conference (1990)