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Journal of Vision
† Randall C. O'Reilly and Dean Wyatte have contributed equally to this work. How does the brain learn to recognize objects visually, and perform this difficult feat robustly in the face of many sources of ambiguity and variability? We present a computational model based on the biology of the relevant visual pathways that learns to reliably recognize 100 different object categories in the face of naturally occurring variability in location, rotation, size, and lighting. The model exhibitsdoi:10.1167/11.11.889 fatcat:vggce4s4eze4xbxuuxunutcrfi