Wavelet-Like Receptive Fields Emerge From a Network That Learns Sparse Codes for Natural Images

[1]  R. Zemel A minimum description length framework for unsupervised learning , 1994 .

[2]  Nathan Intrator Feature Extraction using an Unsupervised Neural Network , 1991 .

[3]  C. Fyfe,et al.  Finding compact and sparse-distributed representations of visual images , 1995 .

[4]  Terence D. Sanger,et al.  An Optimality Principle for Unsupervised Learning , 1988, NIPS.

[5]  A. Parker,et al.  Two-dimensional spatial structure of receptive fields in monkey striate cortex. , 1988, Journal of the Optical Society of America. A, Optics and image science.

[6]  D. Ruderman The statistics of natural images , 1994 .

[7]  John Daugman,et al.  An information-theoretic view of analog representation in striate cortex , 1993 .

[8]  D. Field,et al.  Natural image statistics and efficient coding. , 1996, Network.

[9]  Jürgen Schmidhuber,et al.  Semilinear Predictability Minimization Produces Well-Known Feature Detectors , 1996, Neural Computation.

[10]  J.G. Daugman,et al.  Entropy reduction and decorrelation in visual coding by oriented neural receptive fields , 1989, IEEE Transactions on Biomedical Engineering.

[11]  David J. Field,et al.  What Is the Goal of Sensory Coding? , 1994, Neural Computation.

[12]  Geoffrey E. Hinton,et al.  The "wake-sleep" algorithm for unsupervised neural networks. , 1995, Science.

[13]  Ralph Linsker,et al.  Self-organization in a perceptual network , 1988, Computer.

[14]  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.

[15]  Leslie S. Smith,et al.  The principal components of natural images , 1992 .

[16]  J. H. van Hateren,et al.  Real and optimal neural images in early vision , 1992, Nature.

[17]  D. Hubel,et al.  Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.

[18]  S. Laughlin,et al.  Predictive coding: a fresh view of inhibition in the retina , 1982, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[19]  D. G. Albrecht,et al.  Spatial frequency selectivity of cells in macaque visual cortex , 1982, Vision Research.

[20]  Terrence J. Sejnowski,et al.  An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.

[21]  R W Prager,et al.  Development of low entropy coding in a recurrent network. , 1996, Network.

[22]  C. C. Law,et al.  Formation of receptive fields in realistic visual environments according to the Bienenstock, Cooper, and Munro (BCM) theory. , 1994, Proceedings of the National Academy of Sciences of the United States of America.

[23]  Eric Saund,et al.  A Multiple Cause Mixture Model for Unsupervised Learning , 1995, Neural Computation.