Learning and disrupting invariance in visual recognition with a temporal association rule
Learning by temporal association rules such as Foldiak's trace rule is an attractive hypothesis that explains the development of invariance in visual recognition. Consistent with these rules, several recent experiments have shown that invariance can be broken at both the psychophysical and sing...
Main Authors: | Isik, Leyla (Contributor), Leibo, Joel Z. (Contributor), Poggio, Tomaso A. (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Computational and Systems Biology Program (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), McGovern Institute for Brain Research at MIT (Contributor) |
Format: | Article |
Language: | English |
Published: |
Frontiers Research Foundation,
2012-10-12T15:00:58Z.
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Subjects: | |
Online Access: | Get fulltext |
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