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Perception & Attention Computational Cognitive Neuroscience Randall O’Reilly.

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Presentation on theme: "Perception & Attention Computational Cognitive Neuroscience Randall O’Reilly."— Presentation transcript:

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 6

7 7

8 Hierarchy of Detectors.. 8

9 Self-Organization of V1 Orientation Selective Neurons

10 Topography! Map of orientations “Pinwheel” singularities Hypercolumn organization

11 What is Common?

12 Self-Organized Topography

13 Invariant Object Recognition 13

14 It’s Hard

15 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

16 Biological Data 16

17 Simple Textbook Test

18 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

19 Generalization to Novel Category Exemplars – Better than 90% 19

20 Spatial Attention and Neglect

21 Hemispatial Neglect

22 Posner Task

23 Boxology vs. Biology

24 What’s Missing? Lacking Depth..


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