"Visual processing of objects makes use of both
feedforward and feedback streams of information. However, the nature of feedback signals is largely unknown, as
is the identity of the neuronal populations in lower visual
areas that receive them. Here, we develop a recurrent neural
model to address these questions in the context of contour
integration and figure-ground segregation. A key feature
of our model is the use of grouping neurons whose activity represents tentative objects (“proto-objects”) based on
the integration of local feature information. Grouping neurons receive input from an organized set of local feature
neurons, and project modulatory feedback to those same
neurons. ..."
Reference:
1 .
Hu B, Niebur E (2017) A recurrent neural model for proto-object based contour integration and figure-ground segregation. J Comput Neurosci 43:227-242 [PubMed]
|
