An Information Processing Approach to Understanding the Visual Cortex

An outline description is given of the experimental work on the visual acuity and hyperacuity of human beings. The very high resolution achieved in hyperacuity corresponds to a fraction of the spacing between adjacent cones in the fovea. We briefly outline a computational theory of early visi...

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Main Authors: Crick, Francis H.C., Marr, David C., Poggio, Tomaso
Language:en_US
Published: 2004
Online Access:http://hdl.handle.net/1721.1/6332
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author Crick, Francis H.C.
Marr, David C.
Poggio, Tomaso
author_facet Crick, Francis H.C.
Marr, David C.
Poggio, Tomaso
author_sort Crick, Francis H.C.
collection MIT
description An outline description is given of the experimental work on the visual acuity and hyperacuity of human beings. The very high resolution achieved in hyperacuity corresponds to a fraction of the spacing between adjacent cones in the fovea. We briefly outline a computational theory of early vision, according to which (a) retinal image is filtered through a set of approximately bandpass, spatial filters and (b) zero-crossings may contain sufficient information for much of the subsequent processing. Consideration of the optimum filter lead to one which is equivalent to a cell with a particular center-surround type of response. An "edge" in the visual field then corresponds to a line of zero-crossings in the filtered image. The mathematics of sampling and of Logan's zero-crossing theorem are briefly explained.
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spelling mit-1721.1/63322019-04-12T08:30:14Z An Information Processing Approach to Understanding the Visual Cortex Crick, Francis H.C. Marr, David C. Poggio, Tomaso An outline description is given of the experimental work on the visual acuity and hyperacuity of human beings. The very high resolution achieved in hyperacuity corresponds to a fraction of the spacing between adjacent cones in the fovea. We briefly outline a computational theory of early vision, according to which (a) retinal image is filtered through a set of approximately bandpass, spatial filters and (b) zero-crossings may contain sufficient information for much of the subsequent processing. Consideration of the optimum filter lead to one which is equivalent to a cell with a particular center-surround type of response. An "edge" in the visual field then corresponds to a line of zero-crossings in the filtered image. The mathematics of sampling and of Logan's zero-crossing theorem are briefly explained. 2004-10-04T14:51:59Z 2004-10-04T14:51:59Z 1980-04-01 AIM-557 http://hdl.handle.net/1721.1/6332 en_US AIM-557 10159430 bytes 8043369 bytes application/postscript application/pdf application/postscript application/pdf
spellingShingle Crick, Francis H.C.
Marr, David C.
Poggio, Tomaso
An Information Processing Approach to Understanding the Visual Cortex
title An Information Processing Approach to Understanding the Visual Cortex
title_full An Information Processing Approach to Understanding the Visual Cortex
title_fullStr An Information Processing Approach to Understanding the Visual Cortex
title_full_unstemmed An Information Processing Approach to Understanding the Visual Cortex
title_short An Information Processing Approach to Understanding the Visual Cortex
title_sort information processing approach to understanding the visual cortex
url http://hdl.handle.net/1721.1/6332
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