A set of visual cortical pathways contributing to object and face recognition. Hierarchical neural network models use growing receptive fields, feature combination and learned transformation tolerance to explain some response properties.
Visual computation in which activity feeds back within or between processing stages, allowing later representations to depend on earlier internal states. Time-resolved object-recognition measurements constrain this contribution more strongly than a static accuracy score, although a delay alone does not identify one circuit.[ref]
Evidence that recurrent circuits are critical to the ventral stream's execution of core object recognition behavior by Kohitij Kar and others. Introduction and Results; Nature Neuroscience 22, pp. 974–983: challenge images and IT population response timing
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