A biologically plausible transform for visual recognition that is invariant to translation, scale and rotation
Visual object recognition occurs easily despite differences in position, size, and rotation of the object, but the neural mechanisms responsible for this invariance are not known. We have found a set of transforms that achieve invariance in a neurally plausible way. We find that a transform based on...
Main Authors: | Pavel eSountsov, David M Santucci, John E Lisman |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2011-11-01
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Series: | Frontiers in Computational Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2011.00053/full |
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