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Perception & Attention Computational Cognitive Neuroscience Randall O’Reilly
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Perception Overview
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Optic Pathway
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Retinal Contrast Filtering
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V1
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Visual Hierarchy: What vs Where 6
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Hierarchy of Detectors.. 8
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Self-Organization of V1 Orientation Selective Neurons
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Topography! Map of orientations “Pinwheel” singularities Hypercolumn organization
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What is Common?
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Self-Organized Topography
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Invariant Object Recognition 13
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It’s Hard
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Invariant Object Recognition Hierarchy of increasing: Feature complexity Spatial invariance Strong match to RF’s in corresponding brain areas (Neocognitron, HMAX, SLF, Pinto/DiCarlo, etc.) 15
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Biological Data 16
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Simple Textbook Test
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3D models from Google SketchUp 100 categories 9-10 objects per category 2 objects left out for testing +/- 20° horiz depth rotation + 180° flip 0-30° vertical depth rotation 14° 2D planar rotations 25% scaling 30% planar translations 18 3D Object Recognition Test http://grey.colorado.edu/CompCogNeuro/index.php/CU3D
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Generalization to Novel Category Exemplars – Better than 90% 19
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Spatial Attention and Neglect
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Hemispatial Neglect
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Posner Task
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Boxology vs. Biology
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What’s Missing? Lacking Depth..
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