Visnet is a model of invariant object recognition based on rolls rolls 1992 hypotheses it is a computer simulation that allows hypotheses to be tested and developed about how multilayer hierarchical networks of the type believed to be implemented in the visual cortical pathways operate. Invariant visual object and face recognition neural and computational bases and a modelvisnet edmundt rolls12 1 oxford centre for computational neuroscience oxford uk 2 department of computer science university ofwarwick coventry uk edited by evgeniy bart palo alto research center usa reviewed by alexander g dimitrovwashington. Invariant visual object and face recognition neural and computational bases and a model visnetpdf available via license cc by 40 content may be subject to copyright. Invariant visual object and face recognition neural and computational bases and a model visnet edmund t erolls affiliations edmund t erolls oxford centre for computational neuroscience and university of warwick visnet can use temporal continuity in an associativesynaptic learning rule with a short term memory trace and or it can use . Neurophysiological evidence for invariant representations of objects and faces in the primate inferior temporal visual cortex is described then a computational approach to how invariant representations are formed in the brain is described that builds on the neurophysiology a feature hierarchy model in which invariant representations can be built by self organizing learning based on the