The multiinformation function as a tool for measuring stachastic dependence

Finite State Automata Resulting from Temporal Information Maximization and a Temporal Learning Rule

Neural Computation

Multivariate information bottleneck

Neural Computation

Agglomerative independent variable group analysis

Neurocomputing

Gene Expression Data Classification Using Independent Variable Group Analysis

ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II

Nonlinear extraction of independent components of natural images using radial gaussianization

Neural Computation

Synergistic coding by cortical neural ensembles

IEEE Transactions on Information Theory - Special issue on information theory in molecular biology and neuroscience

An information theoretic approach to identify the role of higher-order interactions between cortical neurons in stimulus coding

Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers

Dependency reduction with divisive normalization: Justification and effectiveness

Neural Computation

Multi-information ensemble diversity

MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems