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V1 has a gaze-centered map of visual space. Sparse Priors are Biological. Where is the edge?. 1mm. Visual Routines. But see also…. Carpenter & Just - Mental rotations in block matching. Kosslyn -Mental Imagery expts. Gilbert - Task effects in V1. Roelfsema et al PNAS 2003. Retina.
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Visual Routines But see also… Carpenter & Just - Mental rotations in block matching Kosslyn -Mental Imagery expts Gilbert - Task effects in V1 Roelfsema et al PNAS 2003
Retina LGN M. Meister et al C. Reid et al
Models: Synchronous Spikes Can Propagate VanRullen & Thorpe Vision Res 2002 Diesmann, Gewaltig,Aertsen Nature 1999
Brain & Cognitive Sciences Event Notification WHO: Aude Oliva Massachusetts Institute of Technology TOPIC: The gist of a scene: recognizing the visual world on the fly ABSTRACT:Humans can recognize the gist of a scene (e.g. its semantic category) in a single glance, independent of the complexity of the visual image. How is this remarkable feat accomplished? Research over the last decade has made substantial progress toward understanding the mechanisms underlying human object recognition. However, evidence from behavioral,computational and neuroscience investigations have shown that the perception of real-world scenes may engage distinct cognitive and neural mechanisms from those used in object recognition. In this talk, I will present a series of behavioral experiments dedicated to test there presentation and the mechanisms that human observers may use to interpret, within a glance, the visual gist of a scene as well as the implications of scene gist on object detection and the visual exploration of a scene. WHEN: 10/10/2005 12:00 PM WHERE: 269 Meliora CATEGORY:Center for Visual Science
Hierarchical Memory Organization Fellerman and Van Essen 85
Mapping the Cerebral Cortex in Humans and Monkeys. Cerebral cortex contains a mosaic of cortical areas (~100 areas in monkeys, even more in humans). These are interlinked in a distributed hierarchical network and are associated with a complex pattern of functional specializations. This seminar will discuss the use of surface-based approaches that are pivotal for analyzing vast amounts of experimental data about cortical structure, function, and connectivity. Surface-based approaches are particularly valuable for analyzing individual differences in cortical structure and function within a given species and (ii) for evaluating similarities and differences across species despite large differences in cortical size and in the pattern of convolutions. Thursday, September 30, 2004 4:00 PMK-307 (Room 3-6408) Refreshments