N N Schraudolph,et al. Processing images by semi-linear predictability minimization. , 1999, Network.
 Z Ghahramani,et al. Generative models for discovering sparse distributed representations. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
 Jurgen Schmidhuber,et al. Discovering Predictable Classifications ; CU-CS-626-92 , 1992 .
 Geoffrey E. Hinton,et al. Developing Population Codes by Minimizing Description Length , 1993, NIPS.
 Jürgen Schmidhuber,et al. Learning Complex, Extended Sequences Using the Principle of History Compression , 1992, Neural Computation.
 Suzanna Becker,et al. Unsupervised Learning Procedures for Neural Networks , 1991, Int. J. Neural Syst..
 Terrence J. Sejnowski,et al. An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.
 Jürgen Schmidhuber,et al. Learning to forget: continual prediction with LSTM , 1999 .
 Paul A. Viola,et al. Empirical Entropy Manipulation for Real-World Problems , 1995, NIPS.
 Shun-ichi Amari,et al. Adaptive Online Learning Algorithms for Blind Separation: Maximum Entropy and Minimum Mutual Information , 1997, Neural Computation.
 J. E. Moody,et al. LEARNING UNAMBIGUOUS REDUCED SEQUENCEDESCRIPTIONSIn , 1992 .
 Néstor Parga,et al. Redundancy Reduction and Independent Component Analysis: Conditions on Cumulants and Adaptive Approaches , 1997, Neural Computation.
 Andrzej Cichocki,et al. A New Learning Algorithm for Blind Signal Separation , 1995, NIPS.
 M. Mozer. Discovering Discrete Distributed Representations with Iterative Competitive Learning , 1990, NIPS 1990.
 S. Hochreiter,et al. Lococode Performs Nonlinear ICA Without Knowing The Number Of Sources , 1999 .
 PAUL J. WERBOS,et al. Generalization of backpropagation with application to a recurrent gas market model , 1988, Neural Networks.
 Zhaoping Li. A Theory of the Visual Motion Coding in the Primary Visual Cortex , 1996, Neural Computation.
 Jürgen Schmidhuber,et al. Source Separation as a By-Product of Regularization , 1998, NIPS.
 D J Field,et al. Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.
 Jürgen Schmidhuber. Learning Unambiguous Reduced Sequence Descriptions , 1991, NIPS.
 Christian Jutten,et al. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..
 Yoshua Bengio,et al. Learning long-term dependencies with gradient descent is difficult , 1994, IEEE Trans. Neural Networks.
 Eric Saund. Unsupervised Learning of Mixtures of Multiple Causes in Binary Data , 1993, NIPS.
 Jürgen Schmidhuber,et al. Recurrent nets that time and count , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
 David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
 A. Norman Redlich,et al. Redundancy Reduction as a Strategy for Unsupervised Learning , 1993, Neural Computation.
 Günther Palm. On the Information Storage Capacity of Local Learning Rules , 1992, Neural Computation.
 Jürgen Schmidhuber,et al. Learning Factorial Codes by Predictability Minimization , 1992, Neural Computation.