An optimality principle for unsupervised learning

The formation of topographic maps that maximize the average mutual information of the output responses to noiseless input signals

Neural Computation

Dimension reduction by local principal component analysis

Neural Computation

A Distributed Algorithm for Content Based Indexing of Images by Projections on Ritz Primary Images

Data Mining and Knowledge Discovery

A general learning approach to visually guided 3D-positioning and pose control of robot arms

Biologically inspired robot behavior engineering

Auracle: a voice-controlled, networked sound instrument

Organised Sound

EMPATH: A Neural Network that Categorizes Facial Expressions

Journal of Cognitive Neuroscience

Local synaptic learning rules suffice to maximize mutual information in a linear network

Neural Computation

A nonlinear hebbian network that learns to detect disparity in random-dot stereograms

Neural Computation

Convergence of the visual field split: Hemispheric modeling of face and object recognition

Journal of Cognitive Neuroscience

Learning schemes in using PCA neural networks for image restoration purposes

WSEAS Transactions on Information Science and Applications

Color quantization using principal components for initialization of Kohonen Sofm

ICIP'09 Proceedings of the 16th IEEE international conference on Image processing

Noise-robust acoustic signature recognition using nonlinear Hebbian learning

Neural Networks