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Generalization over contrast and mirror reversal, but not figure-ground reversal, in an "edge-based

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Show simple item record Riesenhuber, Maximilian en_US 2004-10-20T21:04:38Z 2004-10-20T21:04:38Z 2001-12-10 en_US
dc.identifier.other AIM-2001-034 en_US
dc.identifier.other CBCL-211 en_US
dc.description.abstract Baylis & Driver (Nature Neuroscience, 2001) have recently presented data on the response of neurons in macaque inferotemporal cortex (IT) to various stimulus transformations. They report that neurons can generalize over contrast and mirror reversal, but not over figure-ground reversal. This finding is taken to demonstrate that ``the selectivity of IT neurons is not determined simply by the distinctive contours in a display, contrary to simple edge-based models of shape recognition'', citing our recently presented model of object recognition in cortex (Riesenhuber & Poggio, Nature Neuroscience, 1999). In this memo, I show that the main effects of the experiment can be obtained by performing the appropriate simulations in our simple feedforward model. This suggests for IT cell tuning that the possible contributions of explicit edge assignment processes postulated in (Baylis & Driver, 2001) might be smaller than expected. en_US
dc.format.extent 3 p. en_US
dc.format.extent 798352 bytes
dc.format.extent 91696 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AIM-2001-034 en_US
dc.relation.ispartofseries CBCL-211 en_US
dc.subject AI en_US
dc.subject AI en_US
dc.subject computational neuroscience en_US
dc.subject object recognition en_US
dc.subject macaque en_US
dc.subject IT en_US
dc.subject invariance en_US
dc.title Generalization over contrast and mirror reversal, but not figure-ground reversal, in an "edge-based en_US

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