PMID: 9161020May 15, 1997Paper

Similarity, connectionism, and the problem of representation in vision

Neural Computation
S Edelman, S Duvdevani-Bar

Abstract

A representational scheme under which the ranking between represented similarities is isomorphic to the ranking between the corresponding shape similarities can support perfectly correct shape classification because it preserves the clustering of shapes according to the natural kinds prevailing in the external world. This article discusses the computational requirements of representation that preserves similarity ranks and points out the relative straightforwardness of its connectionist implementation.

References

Aug 1, 1992·Current Opinion in Neurobiology·K Tanaka
Jan 18, 1990·Nature·T Poggio, S Edelman
Sep 1, 1987·Proceedings of the National Academy of Sciences of the United States of America·C H Anderson, D C Van Essen
Jan 1, 1972·Journal of Neurophysiology·C G GrossD B Bender
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Oct 29, 1993·Science·K Tanaka
Oct 15, 1996·Proceedings of the National Academy of Sciences of the United States of America·F Cutzu, S Edelman

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Citations

Aug 29, 1997·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·S Edelman, S Duvdevani-Bar
Jun 9, 2000·Annual Review of Neuroscience·R C deCharms, A Zador
Feb 27, 2001·Journal of Cognitive Neuroscience·Z Solan, E Ruppin
Nov 1, 1997·Trends in Cognitive Sciences·S Edelman
Jan 6, 2009·Developmental Science·Alfredo F Pereira, Linda B Smith
Apr 18, 2006·Brain Research·Wolfram ErlhagenEstela Bicho
Nov 3, 1998·Vision Research·A J O'TooleH H Bülthoff
Jun 2, 2021·PLoS Computational Biology·Yaniv MorgensternRoland W Fleming

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Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
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