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Talk: Attention (44 min)

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DETAILED SLIDE INDEX

  1. 1. Introduction
  2. 2. How do we see scenes?
  3. 3. Even familiar things usually don't stay the same
  4. 4. Belief: this is somehow done via attention
  5. 5. How is this done?
  6. 6. Intuition: a visual buffer accumulates information
  7. 7. Image flicker example (1)
  8. 8. Image flicker example (2)
  9. 9. Change blindness (1)
  10. 10. Overview - older view of attention
  11. 11. Preattentive systems
  12. 12. Behavioral studies
  13. 13. Orientation (1)
  14. 14. For orientation, a unique value is easy to notice
  15. 15. An item does not necessarily pop out if it is unique
  16. 16. L-shapes: reaction time depends on no. of items
  17. 17. Interpretation
  18. 18. What is processed preattentively?
  19. 19. But...
  20. 20. Scene based properties
  21. 21. Three dimensional orientation
  22. 22. Search time for three dimensional objects
  23. 23. Initial stages of visual processing
  24. 24. Identification of shadows
  25. 25. Searching for the shadow target
  26. 26. Data regarding search time for shadows
  27. 27. Searches for different shadows
  28. 28. Completion of occlusion
  29. 29. Easy to detect - curvature in "bite"
  30. 30. Slower to detect - bite has been "compensated for"
  31. 31. Search is based on completed fragments only
  32. 32. Structures above primary line "visible" to attention
  33. 33. Searches - summary
  34. 34. Attentional systems
  35. 35. Image flicker example (3)
  36. 36. Change blindness (2)
  37. 37. Attention is needed to perceive change
  38. 38. Coherence theory - first stage
  39. 39. Proto-objects and attention (1)
  40. 40. Coherence theory - second stage
  41. 41. Proto-objects and attention (2)
  42. 42. Attention is implemented via a coherence field
  43. 43. Important note (1)
  44. 44. Coherence theory - third stage
  45. 45. Proto-objects and attention (3)
  46. 46. Can still build up information in other systems
  47. 47. Visual search for change
  48. 48. Visual search for change - results
  49. 49. Virtual representation (1)
  50. 50. Virtual representation (2)
  51. 51. Virtual representation in computer science
  52. 52. Can this work for the visual system?
  53. 53. Virtual representation in the brain
  54. 54. Important note (2)
  55. 55. How might a virtual representation be interpreted
  56. 56. Proposal: triadic architecture
  57. 57. A schematic representation of attention
  58. 58. "Can't have it both ways" thesis
  59. 59. Nonattentional systems (1)
  60. 60. Control of attention
  61. 61. Implications about mechanism
  62. 62. Attention mechanism - summary
  63. 63. Nonattentional systems (2)
  64. 64. Some early results
  65. 65. Two visual systems
  66. 66. Nonconscious detection of change
  67. 67. Nonconscious detection of change - results
  68. 68. Mindsight
  69. 69. Image flicker example (4)
  70. 70. Mindsight - experiment
  71. 71. Results of mindsight experiment
  72. 72. Informative, positive and sophisticated effect
  73. 73. Possible mechanism
  74. 74. Newer view of attention: summary
  75. 75. Acknowledgements
  76. 76. END
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TALK'S CITATION

Rensink, R. (2010), "Attention", in McClelland, J. and Lambon-Ralph, M. (eds), Cognitive Neuroscience: Emergence of mind from brain, The Biomedical & Life Sciences Collection, Henry Stewart Talks Ltd, London (online at http://hstalks.com/bio)

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ABOUT THIS TALK

Speaker(s)

Dr. Ronald Rensink Show Biography

SPEAKER BIOGRAPHY

Dr. Ronald Rensink – University of British Columbia, Canada

Ronald Rensink is an Associate Professor in the Departments of Psychology and Computer Science at the University of British Columbia, Canada. He received his PhD in computer science from the University of British Columbia and then completed his postdoc with Patrick Cavanagh in the Psychology Department at Harvard University. He then joined Cambridge Basic Research (CBR) before returning to the University of British Columbia in 2000. Dr. Rensink's research focuses on vision and his approach is to examine biological systems to see how they operate and from a computational point of view see if they embody more general principles. These general principles can then provide a scientific basis for the design of visual interfaces that can interact with human visual systems in an optimal way.

Publication Date

May, 2010

Topics Covered

How do we see scenes?... more

TOPICS COVERED IN THIS TALK

  • How do we see scenes?
  • Older view of attention
  • Preattentive systems: psychological and behavioral studies
  • Orientation
  • Reaction time
  • Interpretation
  • What is processed preattentively?
  • Scene-based properties
  • Initial stages of visual processing
  • Identification of shadows
  • Completion of occlusion
  • Attentional systems
  • Change blindness
  • Attention is needed to perceive change in an object
  • Coherence theory
  • How much can we attend to?
  • Virtual representation
  • Triadic architecture
  • Nonattentional systems
  • Non-conscious detection of change
  • Newer view of attention

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ASPECTS OF COGNITION
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3. Attention
Dr. Ronald Rensink
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