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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
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7
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Hierarchy of Detectors..
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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
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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.)
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Biological Data
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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
3D Object Recognition Test
http://grey.colorado.edu/CompCogNeuro/index.php/CU3D
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Generalization to Novel Category Exemplars – Better than 90%
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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..