The attentive reconstruction of objects facilitates robust object recognition
Fig 1
A potential implementation of ORA in the brain.
ORA uses object reconstruction as top-down attention feedback and iteratively routes the most relevant visual information in successive steps of a feed-forward object recognition process. This reconstruction-guided attention operates at two levels, 1) Spatial attention: a long-range projection that spatially constrains attention to the most likely object location and 2) Feature-based attention: more local feedback that biases feature binding strengths to favor the formation of a better object reconstruction. See main text for more details.