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Part of the book series: Springer Series in Information Sciences ((SSINF,volume 11))

Abstract

Because many of you may not be familiar with the biological structures with which we ourselves process images, I shall start with a brief anatomical tour of the complex and incompletely understood visual system of primates. The biological components which perform the computations may also be unfamiliar, and it is interesting to compare them with physical devices: synapses and neurones are very slow and have a very limited dynamic range, but they are packed at a very high density per unit volume, are very freely interconnected over limited distances, and these interconnections possess self-regulatory properties that can compensate for errors in construction or changes of use.

The problems facing physiologists or psychologists studying natural vision are also very different from yours. First, it is technically very difficult to monitor the activity of just one or two elements at a time in a structure that contains 1010 neurones or more; second, with such incomplete information it is hard to interpret the results, and third, there is the constant danger of interfering with normal function. Also, we often fail to understand the goal or purpose of the neuronal interactions that occur in a biological structure; this should not be a problem for physicists because I cannot imagine one of your devices ever doing something clever that it’s designer had not intended it to do!

The overall achievement of a good visual system is impressive. It does far more than simply provide us with a good picture to look at, for the looker is part of the system. It gives us most of our knowledge of the world, which requires organisation of the results to minimize redundant representation and statistical testing to ensure reliability. All this is done on the spot, in real time, by a system weighing about two kilograms (including power supplies). So far the flow of important concepts has been from physics to biology, but if we knew exactly how a real visual system worked the flow might be reversed.

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References

  1. J.E. Dowling, Investigative Ophthal. 9, 655 (1970).

    Google Scholar 

  2. H.B. Barlow and J.D. Mollon (Eds), The Senses (Cambridge University Press, 1982 ).

    Google Scholar 

  3. W.R. Levick, J. Physiol. 188, 285 (1967).

    Google Scholar 

  4. V. Torre and T. Poggio, Proc. Roy. Soc. B. 202, 409 (1978).

    Article  ADS  Google Scholar 

  5. M. Collonier, “The electron-microscopic analysis of the neuronal organization of the cerebral cortex”, in The Organization of the Cerebral Cortex, F.O. Schmitt, F.G. Worden, G. Adelman and S.G. Dennis, eds. ( MIT Press, Cambridge, Massachusetts, 1981 ).

    Google Scholar 

  6. D.C. Van Essen and J.H.R. Maunsell, J. Comp. Neurol. 191, 255 (1980).

    Article  Google Scholar 

  7. D.H. Hubel and T.N. Wiesel, Proc. Roy. Soc. B. 198, 1 (1977).

    Article  ADS  Google Scholar 

  8. H.B. Barlow, Nature 279, 189 (1979).

    Article  ADS  Google Scholar 

  9. C.D. Gilbert and T.N. Wiesel, “Laminar specialization and intracortical connections in cat primary visual cortex”, in The Organization of the Cerebral Cortex, F.O. Schmitt, F.G. Worden, G. Adelman and S.G. Dennis eds ( MIT Press, Cambridge, Massachusetts, 1981 ).

    Google Scholar 

  10. R.H. Wurtz and J.E. Albano, Ann Rev. Neurosci. 3, 189 (1980)

    Article  Google Scholar 

  11. D.H. Hubel and T.N. Wiesel, J. Physiol. 160, 10F (1962).

    Google Scholar 

  12. J.G. Robson, “Neural images: The physiological basis of spatial vision”, in Visual Coding and Adaptability, C.S. Harris, ed. ( L. Erlbaum and Associates, Hillsborough, New Jersey, 1980 ).

    Google Scholar 

  13. B. Sakitt and H.B. Barlow, Biol. Cybernetics 43, 97 (1982).

    Article  Google Scholar 

  14. C.R. Michael,J. Neurophysiol. 41, 572 (1978).

    Google Scholar 

  15. H.B. Barlow, C. Blakemore and J.D. Pettigrew, J. Physiol. 193, 327 (1967).

    Google Scholar 

  16. A. Guzman, Proc. Fall Joint Computer Conf. (San Francisco) Vol. 33, Pt 1, 291 (1968).

    Google Scholar 

  17. H.B. Barlow, Proc. Roy. Soc. B. 212, 1 (1981).

    Article  ADS  Google Scholar 

  18. S.M. Zeki, Nature 274, 423 (1978).

    Article  ADS  Google Scholar 

  19. D.H. Hubel and T.N. Wiesel, J. Physiol. 206, 419 (1970).

    Google Scholar 

  20. D.O. Hebb, The organization of behaviour, (Wi1ey, New York, 1949 ).

    Google Scholar 

  21. J.P. Rauschecker and W. Singer, Nature 280, 58 (1979).

    Article  ADS  Google Scholar 

  22. D. Marr, Vision, (W.H. Freeman and Co., San Francisco, 1982 ).

    Google Scholar 

  23. E. Mach, The analysis of sensations, and the relation of the physical to the psychical, (Dover Publications Inc, New york, 1959: 1st edition 1886 ).

    Google Scholar 

  24. K. Pearson, The Grammar of Science, ( Walter Scott, London, 1892 ).

    Book  MATH  Google Scholar 

  25. F. Attneave, Psychol. Rev. CH, 61, 183 (1954).

    Article  Google Scholar 

  26. H.B. Barlow, “Possible principles underlying the transformations of sensory messages, in Sensory Communication, W. Rosenblith, ed. ( MIT Press and John Wiley, New York, 1961 ).

    Google Scholar 

  27. H.B. Barlow, “Perception: What quantitative laws govern the acquisition of, knowledge from the senses?”,in Functions of the Brain, Wolfson College Lectures 1982, C. Coen, ed. (Oxford University Press, 1983 ).

    Google Scholar 

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© 1983 Springer-Verlag Berlin Heidelberg

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Barlow, H.B. (1983). Understanding Natural Vision. In: Braddick, O.J., Sleigh, A.C. (eds) Physical and Biological Processing of Images. Springer Series in Information Sciences, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-68888-1_1

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  • DOI: https://doi.org/10.1007/978-3-642-68888-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

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