The dynamics of invariant object recognition in the human visual system
The human visual system can rapidly recognize objects despite transformations that alter their appearance. The precise timing of when the brain computes neural representations that are invariant to particular transformations, however, has not been mapped in humans. Here we employ magnetoencephalogra...
Main Authors: | Isik, Leyla, Meyers, Ethan M., Leibo, Joel Z., Poggio, Tomaso A. |
---|---|
Other Authors: | Massachusetts Institute of Technology. Center for Biological & Computational Learning |
Format: | Article |
Language: | en_US |
Published: |
American Physiological Society
2015
|
Online Access: | http://hdl.handle.net/1721.1/93890 https://orcid.org/0000-0002-3153-916X https://orcid.org/0000-0002-9255-0151 https://orcid.org/0000-0002-3944-0455 |
Similar Items
-
Learning and disrupting invariance in visual recognition
by: Isik, Leyla, et al.
Published: (2011) -
Learning and disrupting invariance in visual recognition with a temporal association rule
by: Isik, Leyla, et al.
Published: (2012) -
The dynamics of invariant object and action recognition in the human visual system
by: Isik, Leyla
Published: (2015) -
Fast, invariant representation for human action in the visual system
by: Isik, Leyla, et al.
Published: (2016) -
Learning Generic Invariances in Object Recognition: Translation and Scale
by: Leibo, Joel Z, et al.
Published: (2011)