Searching for filters with ‘interesting’ output distributions: an uninteresting direction to explore?

References

• Atick J J, Li Z, Redlich A N. Understanding retinal color coding from first principles. Neural Comput. 1992; 4: 559–572
   Web of Science ®Google Scholar
• Atick J J, Redlich A N. What does the retina know about natural scenes?. Neural Comput. 1992; 4: 196–210
   Web of Science ®Google Scholar
• Attneave F. Applications of Information Theory to Psychology, A Summary of Basic Concepts, Methods, and Results. Holt, New York 1959
   Google Scholar
• Baddeley R J. Topographic map formation as statistical inference. Neural Computation and Psychology, L Smith. Springer, Berlin 1995; 86–96
   Google Scholar
• Baddeley R J, Hancock P J B. A statistical analysis of natural images matches psychophysically derived orientation tuning curves. Proc. R. Soc. B 1991; 246: 219–23
   PubMed Web of Science ®Google Scholar
• Barlow H B. Single units and cognition: a neurone doctrine for perceptual psychology. Perception 1972; 1: 371–94
   PubMedGoogle Scholar
• Barlow H B. Unsupervised Learning. Neural Comput. 1989; 1: 295–311
   Web of Science ®Google Scholar
• Barlow H B. What is the computational goal of the neocortex?. Large Scale Neuronal Theories of the Brain, C Koch. MIT Press, Cambridge, MA 1994
   Google Scholar
• Barlow H B, Tolhurst D J. Why do you have edge detectors?. Opt. Soc. Am.: Tech. Digest 1992; 23: 172
   Google Scholar
• Box G E P, Tiao G C. Bayesian Inference in Statistical Analysis (Wiley Classics Library). Wiley, New York 1992
   Google Scholar
• Daugman J. Two dimensional visual channels in the Fourier plane. Vision Res. 1984; 24: 891–910
   PubMed Web of Science ®Google Scholar
• Derrington A M, Lennie P. The influence of temporal frequency and adaption level on receptive field organization of retinal ganglion cells in cat. J. Physiol. 1982; 333: 343–66
   PubMed Web of Science ®Google Scholar
• Diaconis P, Freedman D. Asymptotics of graphical projection pursuit. Ann. Stat. 1984; 12: 793–815
   Web of Science ®Google Scholar
• Field D J. Relations between the statistics of natural images and the response properties of cortical cells. J. Opt. Soc. Am. A 1987; 4: 2379–94
   PubMedGoogle Scholar
• Field D J. What is the goal of sensory coding?. Neural Comput. 1994; 6: 559–601
   Web of Science ®Google Scholar
• Friedman J H. Exploratory projection pursuit. Am. Stat. Assoc. 1987; 82: 249–266
   Web of Science ®Google Scholar
• Fyfe C, Baddeley R J. Finding compact and sparse distributed representations of visual images. Network: Comput. Neural Syst. 1995a; 6: 333–44
   Web of Science ®Google Scholar
• Fyfe C, Baddeley R J. Non-linear structure extraction using simple Hebbian networks. Biol. Cybern. 1995b; 72: 533–41
   Web of Science ®Google Scholar
• Hinton G E, McClelland J L, Rumelhart D E. Distributed representations. Parallel Distributed Processing Foundations, D E Rumelhart, J L McClelland. MIT Press, Cambridge, MA 1986; 1: 77–109
   Google Scholar
• Huber P J. Projection pursuit. Ann. Stat. 1985; 13: 435–75
   Web of Science ®Google Scholar
• Intrator N. Feature extraction using an unsupervised neural network. Neural Comput. 1992; 4: 98–107
   Web of Science ®Google Scholar
• Intrator N, Cooper L N. Objective function formulation of the BCM theory of visual cortical plasticity. Statistical connections, stability conditions. Neural Networks 1991; 5: 3–17
   Web of Science ®Google Scholar
• Laughlin S. A simple coding procedure enhances information capacity. Z. Naturf. C 1981; 36: 910–12
   PubMed Web of Science ®Google Scholar
• Linsker R. Local synaptic learning rules suffice to maximise mutual information in a linear network. Neural Comput. 1992; 4: 691–702
   Web of Science ®Google Scholar
• Press W H, Flannery B P, Teukolsky S A, Vetterling W T. Numerical Recipes. Cambridge University Press, Cambridge 1986
   Google Scholar
• Rolls E T, Tovee M J. Sparseness of the neuronal representation of stimuli in the primate temporal visual cortex. J. Neurophysiol. 1995; 73: 713–26
   PubMed Web of Science ®Google Scholar
• Ruderman D L. The statistics of natural images. Network: Comput. Neural Syst 1994; 5: 517–48
   Web of Science ®Google Scholar
• Schroeder M R. Fractals, Chaos, Power Laws: Minutes from an Infinite Paradise. Freeman, San Fransico 1991
   Google Scholar
• Srinivasan M V, Laughlin S B, Dubs A. Predictive coding: a fresh view of inhibition in the retina. Proc. R. Soc. B 1982; 216: 427–59
   PubMed Web of Science ®Google Scholar
• Switkes E, Mayer M J, Sloan J A. Spatial frequency analaysis of the visual environment: anisotropy and the carpentered environment hypothesis. Vision Res. 1978; 18: 1393–9
   PubMed Web of Science ®Google Scholar
• Treves A, Rolls E T. What determines the capacity of autoassociative memories in the brain?. Network: Comput. Neural Syst 1991; 2: 371–97
   Web of Science ®Google Scholar
• Van Hateren J H. Spatiotemporal contrast sensitivity of early vision. Vision Res. 1993; 33: 257–67
   PubMed Web of Science ®Google Scholar
• Vidyasagar T R, Henry G H. Relationship between preferred orientation and ordinal position in neurones of cat striate cortex. Visual Neurosci. 1990; 5: 565–69
   PubMed Web of Science ®Google Scholar