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Simplicity, Cognition and Adaptation: Some Remarks on Marr's Theory of Vision

Published online by Cambridge University Press:  28 February 2022

Daniel Gilman
Daniel Gilman*
Affiliation:
The Pennsylvania State University
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Extract

David Marr's theory of vision has been a source of both fascination and confusion for many in cognitive science. There has, of course, been substantial technical interest in the particulars of Marr's model. But beyond this we have seen his work cited in debates about the nature of mental representation and computation, the structure of cognition, the role of theoretical knowledge in perception, how and indeed whether one ought to apply results from cognitive science to antecedent questions in epistemology. Marr's theory is cited in such debates because it is widely seen as a successful, rigorous account of a large scale cognitive/perceptual process (if not as the successful such account). But it has been suggested that Marr's theory might be mistaken as a whole; that Marr might have been wrong not just about one or several of the sub-mechanisms of vision, and not just in offering an incomplete account, but wrong in his basic approach to the study of vision.

Type
Part XI. Philosophy of Psychology and Perception
Information
PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association , Volume 1994 , Issue 1: Volume One: Contributed Papers 1994 , 1994 , pp. 454 - 464
Copyright
Copyright © 1994 by the Philosophy of Science Association

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Footnotes

1

Any early version of this material was presented at the 9th International Congress of Logic, Methodology and Philosophy of Science. Thanks to those in attendance, and to Mark Detweiler and Ron McClamrock, for their helpful comments.

References

Barlow, H.B. (1972), “Single Units and Sensation: A Neuron Doctrine for Perceptual Psychology”, Perception 1: 371–394.CrossRefGoogle ScholarPubMed
Campbell, F. and Robson, J. (1968), “Application of Fourier Analysis to the Visibility of Gratings”, Journal of Physiology (London) 197: 551–566.CrossRefGoogle Scholar
Chandrasekhar, S. (1987), Truth and Beauty, Aesthetics and Motivations in Science. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Dennett, D. (1991), “Cognitive Science as Reverse Engineering: Several Meanings of ‘Top-Down’ and ‘Bottom-Up'”, presented August 10,1991 at the 9th International Congress of Logic, Methodology and Philosophy of ScienceGoogle Scholar
Dreher, B. and Sanderson, K. (1973), “Receptive Field Analysis: Responses to Moving Visual Contours by Single Lateral Geniculate Neurons in the Cat”, Journal of Physiology (London) 234: 95–118.CrossRefGoogle ScholarPubMed
Enroth-Cugel, C. and Robson, J. (1966), “The Contrast Sensitivity of Retinal Ganglion Cells of the Cat”, Journal of Physiology (London) 187: 517–522.CrossRefGoogle Scholar
Gould, S.J. (1980), The Panda's Thumb, More Reflections in Natural History. New York: Norton.Google Scholar
Kitcher, P. (1988), “Marr's Computational Theory of Vision”, Philosophy of Science 55: 1–24.CrossRefGoogle Scholar
Kuffler, S.W. (1953), “Discharge Patterns and Functional Organization of Mammalian Retina”, Journal of Neurophysiology 16: 37–68.CrossRefGoogle ScholarPubMed
Leipnik, R. (1960), “The Extended Entropy Uncertainty Principle”, Inf. Control 3: 18–25CrossRefGoogle Scholar
Marr, D. (1982),Vision, New York: Freeman.Google Scholar
Marr, D. and Hildreth, E. (1980), “Theory of Edge Detection”, Proceedings of the Royal Society of London B207:187–217.Google Scholar
Marr, D. and Ullman, S. (1981), “Directional Selectivity and its Use in Early Visual Processing”, Proceedings of the Royal Society of London B211:151–180.Google Scholar
McDermott, D. (1976), “Artificial Intelligence Meets Natural Stupidity”, SIGART Newsletter, 57: 4–9.CrossRefGoogle Scholar
Phillips, G. and Wilson, H. (1984), “Orientation Bandwidths of Spatial Mechanisms Measured by Masking”, Journal of the Optical Society of America 1:2:226–232.CrossRefGoogle ScholarPubMed
Rodieck, R. and Stone, J. (1965), “Analysis of Receptive Fields of Cat Retinal Ganglion Cells”, Journal of Neurophysiology 28: 833–849.CrossRefGoogle ScholarPubMed
Schoemaker, P. (1991), “The Quest for Optimality: A Positive Heuristic of Science?” Behavioral and Brain Sciences 14: 205–245.CrossRefGoogle Scholar
Simon, H. (1957), Models of Man. New York: Wiley.Google Scholar
Wilson, H.R., McFarlane, D. and Phillips, G. (1983), “Spatial Frequency Tuning of Orientation Selective Units Estimated by Oblique Masking”, Vision Research 23:9: 873–892.CrossRefGoogle ScholarPubMed
Wilson, H.R. and Bergen, J. (1979), “A Four Mechanism Model for Spatial Vision”, Vision Research 19: 19–32.CrossRefGoogle ScholarPubMed
Wilson, H.R. and Giese, S. (1977), “Threshold Visibility of Frequency Gradient Patterns”, Vision Research 17: 1177–1190.CrossRefGoogle ScholarPubMed
Wimsatt, W. (1986), “Heuristics and the Study of Human Behavior”, in Fiske, D. and Shweder, R., eds., Metatheory in Social Science: Pluralisms and Subjectivities. Chicago: The University of Chicago Press.Google Scholar