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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...
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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 ...
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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...