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Perception & Attention

Perception & Attention. Computational Cognitive Neuroscience Randall O’Reilly. Perception Overview. Optic Pathway. Retinal Contrast Filtering. V1. Visual Hierarchy: What vs Where. Hierarchy of Detectors. Self-Organization of V1 Orientation Selective Neurons. Topography!.

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Perception & Attention

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  1. Perception & Attention Computational Cognitive Neuroscience Randall O’Reilly

  2. Perception Overview

  3. Optic Pathway

  4. Retinal Contrast Filtering

  5. V1

  6. Visual Hierarchy: What vs Where

  7. Hierarchy of Detectors..

  8. Self-Organization of V1 Orientation Selective Neurons

  9. Topography! Map of orientations “Pinwheel” singularities Hypercolumn organization

  10. What is Common?

  11. Self-Organized Topography

  12. Invariant Object Recognition

  13. It’s Hard

  14. 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. Biological Data

  16. Simple Textbook Test

  17. 3D Object Recognition Test • 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 http://grey.colorado.edu/CompCogNeuro/index.php/CU3D

  18. Generalization to Novel Category Exemplars – Better than 90%

  19. Spatial Attention and Neglect

  20. Hemispatial Neglect

  21. Posner Task

  22. Boxology vs. Biology

  23. What’s Missing? Lacking Depth..

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