A multiscale dynamic routing circuit for forming size- and position-invariant object representations.
We describe a neural model for forming size- and position-invariant representations of visual objects. The model is based on a previously proposed dynamic routing circuit that remaps selected portions of an input array into an object-centered reference frame. Here, we show how a multiscale representation may be incorporated at the input stage of the model, and we describe the control architecture and dynamics for a hierarchical, multistage routing circuit. Specific neurobiological substrates and mechanisms for the model are proposed, and a number of testable predictions are described.
Dept. of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110, USA.
B A
BA
Olshausen
C H
CH
Anderson
D C
DC
Van Essen
D001288:Attention / Q000502:physiology; D001499:Bayes Theorem; D003071:Cognition / Q000502:physiology; D003198:Computer Simulation; D007858:Learning / Q000502:physiology; D008959:Models, Neurological; D012858:Size Perception / Q000502:physiology; D014794:Visual Fields / Q000502:physiology; D014796:Visual Perception / Q000502:physiology*