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How neurons learn to associate 2D-views in invariant object recognition

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons84297

Wallis,  GM
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Wallis, G.(1996). How neurons learn to associate 2D-views in invariant object recognition (37).


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-EB46-2
Abstract
A local learning rule is shown to be able to account for the association of images together on the basis of temporal order rather than spatial configuration, as described in single cell recording results published by Miyashita (1988). Possible reasons for requiring such learning are then given in the context of invariant object recognition.