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Review Article

Could information theory provide an ecological theory of sensory processing?

Pages 4-44 | Received 31 Dec 1991, Published online: 07 Dec 2011

References

  • Atick JJ, Redlich AN. Towards a theory of early visual processing. Neural Computation 1990a; 2: 308–320
  • Atick JJ and Redlich AN. 1990b. Quantitative tests of a theory of retinal processing: Contrast sensitivity curves Report Inst for Advanced Study 1ASSNS-HEP-90/51, submitted for publication.
  • Atick JJ, Redlich AN. What does the retina know about natural scenes?. Neural Computation 1992a; 4: 196–210
  • Atick JJ and Redlich AN. 1992b. Convergent algorithm for sensory receptive field development Report Inst for Advanced Study IASSNS-HEP-91/80, submitted for publication.
  • Atick JJ, Li Z and Redtich AN. 1990. Color coding and its interaction with spatiotemporal processing in the retina Report Inst for Advanced Study IASSNS-HEP-90/75.
  • Atick JJ, Li Z and Redtich AN. 1991. Understanding retinal color coding from first principles Report Inst for Advanced Study IASSNS-HEP-91/1 (1992 Neural Computation in press).
  • Atick JJ, Li Z and Redtich AN. 1992. What does post-adaptation color appearance reveal about cortical color representation? Report Inst for Advanced Study IASSNS-HEP-92/7, submitted for publication.
  • Attneave F. Some informational aspects of visual perception. Psychol Rev 1954; 61: 183–193
  • Barlow HB. Possiple principles underlying the transformation of sensory messages. Sensory Communication, WA Roscnblith. MIT Press, Cambridge, MA 1961
  • Barlow HB. Perception: What quantitative laws govern the acquisition of knowledge from the senses?. Functions of the Brain, CW Coen. Clarendon, Oxford 1985
  • Barlow HB. Unsupervised learning. Neural Computation 1989; 1: 295–311
  • Barlow HB, Hawken M, Kaushal TP, Parker AJ. Human contrast discrimination and the contrast discrimination of corticai neurons. J Opt Soc Am A 1987; 4: 2366–2371
  • Barlow HB, Foldiak P. The Computing Neuron. Addison-Wesley, Reading, MA 1989
  • Barlow HB, Kaushal TP, Mitchison GJ. Finding minimum entropy codes. Neural Computation 1989; 1: 412–423
  • Barnard GA. Statistical calculations of word entropies for four western languages. IRE Trans Inform Theory 1955; 1T-1: 49–53
  • Bialek W. Theoretical physics meets experimental neurobiology. Lectures in Complex Systems (SFJ Studies in the Sciences of Complexity, Lecture vol II), E Jen. Addison-Wesley, Menlo Park, CA 1990
  • Bialek W, Rieke F, de Ruyter van Steveninck RR, Warland D. Reading a neural code. Science 1991; 252: 1854–1857
  • Bialek W, Ruderman DL, Zee A. Optimal sampling of natural images: A design principle for the visual system?. Advances in Neural Information Processing Systems, RP Lippmann, JE Moody, DS Touretzky. Morgan Kaufman, San Mateo, CA 1991; 3
  • Buchsbaum G, Gottschalk A. Trichromacy, opponent colours coding and optimum colour information transmission in the retina. Proc R Soc Land B 1983; 220: 89–113
  • Campbell FW, Gubisch RW. Optical quality of the human eye. J. Physiol. 1966; 186: 558–578
  • Davson H. Physiology of the Eye. Academic, London 1980
  • Daw NW. Colour-coded ganglion celts in the goldfish retina: Extension of their receptive fields by means of new stimuli. J Physiol 1968; 197: 567–592
  • De Monasterio FM, McCrane EP, Newlander JK, Shein SJ. Density profiles of blue-sensitive cones along the horizontal meridian of macaque retina. Invest. Opthalmol Vis Sci 1985; 26: 289–302
  • Derrington AM, Krauskopf J, Lennie P. Chromatic mechanisms in lateral geniculate nucleus of macaque. J. Physiol. 1984; 357: 241–265
  • De Valois KL, Morgan H, Snodderly DM. Psychophysical studies of monkey vision: III spatial luminance contrast sensitivity tests of macaque and human observers. Vision Res. 1974; 14: 75–81
  • Enroth-Cugell C, Robson JG. The contrast sensitivity of retinal ganglion cells of the cat. J Physiol 1966; 187: 517–552
  • Field DJ. Relations between the statistics of natural images and the response properties of cortical cells. J Opt Soc Am A 1987; 4: 2379–2394
  • Field DJ. 1989. What the statistics of natural images tell us about visual coding Human Vision, Visual Processing and Digital Display (Proc SPIE 1077) pp 269–276.
  • Gallager RG. Information Theory and Reliable Communication. Wiley, New York 1968
  • Geman S, Geman D. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Trans Pattern Anal Machine Intel 1984; PAMI-6: 721–741
  • Goodall MC. Performance of stochastic net. Nature 1960; 185: 557–558
  • Gouriet GG. A method of measuring television picture detail. Electron Eng 1952; 24: 308
  • Harrison GW. Experiments with linear prediction in television. Bell System Tech J 1952; 31: 764
  • Hentschel HG, Barlow HB. Minimum-entropy coding with Hopfield networks. Network 1991; 2: 135–148
  • Hinton GE, Sejnowski TJ. 1983. Optimal perceptual inference Proc IEEE Conf Computer Vision and Pattern Recognition (Washington, DC) (Piscataway, NJ: IEEE) pp 448–453.
  • Jacobson H. The informal capacity of the human eye. Science 1951; 113: 292–293
  • Kelly DH. Adaptation effects on spatio-temporal sine-wave thresholds. Vision Res 1972; 12: 89–101
  • Kersten D. Statistical limits to image understanding. Vision: Coding and Efficiency, C Blakemore. Cambridge University Press, Cambridge 1990
  • Kretzmer ER. Statistics of television signals. Bell System Tech J 1952; 31: 751–763
  • Kornhuber HH. Neural control of input into long term memory: Limbic system and amnestic syndrome in man. Memory and Transfer of Information, HP Zippel. Plenum, New York 1973
  • Laughlin SB. A simple coding procedure enhances a neuron’s information capacity. Z Naturf 1981; 36c: 910–2
  • Laughlin SB. Form and function in retinal processing. Trends Neurosci 1987; 10: 478–483
  • Laughlin SB. Coding efficiency and design in visual processing. Facets of Vision, DG Stavenga, RC Hardie. Springer, Berlin 1989
  • Linsker R. Self-organization in a perceptual network. Computer 1988; 21: 105–117, (March 1988)
  • Linsker R. An application of the principle of maximum information preservation to linear systems. Advances in Neural Information Processing Systems, DS Touretzky. Morgan Kaufman, San Mateo, CA 1989a; 1: 186–194
  • Linsker R. How to generate ordered maps by maximizing the mutual information between input and output signals. Neural Computation 1989b; 1: 402–411
  • Lythgoe JN. The Ecology of Vision. Oxford University Press, Oxford 1979
  • Mullen KT. The contrast sensitivity of human colour vision to red–green and blue–yellow chromatic gratings. J Physio 1985; 359: 381–400
  • Papoulis A. Probability, Random Variables, and Stochastic Processes. McGraw-Hill, New York 1984
  • Pearlmutter BA, Hinton GE. G-maximization: An unsupervised learning procedure for discovering regularities. Neural Networks for Computing (AIP Conf Proc 151), JS Denker. AIP, New York 1986
  • Pratt F. Secret and Urgent. Blue Ribbon Books, New York 1942
  • Redlich AN. 1991. Redundancy reduction as a strategy for unsupervised learning Report Inst for Advanced Study IASSNS-HEP-91/87.
  • Sehreiber WF. The measurement of third order probability distributions of television signals. IRE Trans Inform Theory 1956; IT-2: 94–105
  • Shannon CE. Prediction and entropy of printed English. Bell System Tech J 1951; 30: 50–64
  • Shannon CE, Weeaver W. The Mathematical Theory of Communication. University of Illinois Press, Urbana, IL 1949
  • Shapley R, Enroth-Cugell C. Visual adaptation and retinal gain controls. Prog Retinal Research 1984; 3: 263–346
  • Shaw SR. Early visual processing in insects. J Exp Biol 1984; 112: 225–51
  • Srinivisan MV, Laughlin SB, Dubs A. Predictive coding: A fresh view of inhibition in the retina. Proc R Soc Land B 1982; 216: 427–59
  • Sterling P. Retina. The Synoptic Organization of the Brain, G Shepherd. Oxford University Press, Oxford 1990
  • Sziklai G. Some studies in the speed of visual perception. IRE Trans Inform Theory 1956; IT-2: 125–8
  • Uttley AM. Information Transmission in the Nervous System. Academic, London 1979
  • Van Essen DC, Anderson CH. Information processing strategies and pathways in the primate retina and visual cortex. Introduction to Neural and Electronic Networks. Academic, Orlando, FL 1988
  • Van Essen DC, Olshausen B, Anderson CH, Gallant JL. 1991. Pattern recognition, attention, and information bottlenecks in the primate visual system Conf on Visual Information Processing: From Neurons to Chips (SPIE Proc 1473).
  • Van Nes FL, Bouman MA. Spatial modultion transfer in the human eye. J Opt Soc Am 1967; 57: 401–6
  • Warland D, Landolfa MA, Miller JP, Bialek W. Reading between the spikes in the cercel filiform hair receptors of the cricket. Analysis and Modeling of Neural Sytems, F Eeckman. Kluwer, Norwell, MA 1992
  • Watanabe S. Pattern recognition as a quest for minimum entropy. Pattern Recognition 1981; 13: 381–387
  • Watanabe S. Pattern Recognition: Human and Mechanical. Wiley, New York 1985

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