Knowledge and Vision

Table of contents

1. Cover image
2. Title page
3. Table of Contents
4. Copyright
5. Contributors
6. Chapter One: Memorability: How what we see influences what we remember
   1. Abstract
   2. 1 Introduction
   3. 2 Memorability as an intrinsic stimulus attribute
   4. 3 Memorability in relation to other stimulus attributes and cognitive phenomena
   5. 4 The neurological bases of memorability
   6. 5 Applications and future directions
   7. 6 Conclusion
   8. Acknowledgments
7. Chapter Two: Scaling up visual attention and visual working memory to the real world
   1. Abstract
   2. 1 Introduction
   3. 2 Visual attention
   4. 3 Visual working memory
   5. 4 Conclusion
8. Chapter Three: Neural dynamics of visual and semantic object processing
   1. Abstract
   2. 1 Introduction
   3. 2 Architecture of object recognition
   4. 3 The need for dynamic models
   5. 4 Modeling visual and semantic representations of objects
   6. 5 A dynamic account of object recognition
   7. 6 Flexibility of meaning
   8. 7 Concluding statement
9. Chapter Four: Visual narratives and the mind: Comprehension, cognition, and learning
   1. Abstract
   2. 1 Introduction
   3. 2 Comprehending visual narratives
   4. 3 Domain-specificity and generality in visual narrative processing
   5. 4 Development of visual narrative comprehension
   6. 5 Conclusions
10. Chapter Five: How does learning and memory shape perceptual development in infancy?
    1. Abstract
    2. 1 Introduction
    3. 2 Feed-forward/bottom-up models of perceptual development
    4. 3 Challenges to an exclusively bottom-up model
    5. 4 A feedback/top-down model of perceptual development
    6. 5 Comparison to related models
    7. 6 Moving forward
    8. 7 Conclusion
11. Chapter Six: The information content of scene categories
    1. Abstract
    2. 1 Introduction
    3. 2 What is a category?
    4. 3 What makes a scene a member of its category?
    5. 4 Do observers use category labels in visual processing?
    6. 5 What work is being done by the category label?
    7. 6 Conclusions
12. Chapter Seven: What do neurons really want? The role of semantics in cortical representations
    1. Abstract
    2. 1 Assumptions and definitions
    3. 2 Neuronal responses in visual cortex, the classical view
    4. 3 Computational models of ventral visual cortex
    5. 4 Category-selective responses do not imply semantic encoding
    6. 5 What are the preferred stimuli for visual neurons?
    7. 6 Models versus real brains
    8. 7 In search of abstraction in the brain
    9. 8 Semantics and the least common sense
    10. 9 Data availability
13. Chapter Eight: Past experience and meaning affect object detection: A hierarchical Bayesian approach
    1. Abstract
    2. 1 Introduction
    3. 2 Background: Past experience is a prior for figure assignment
    4. 3 Competition within a hierarchical Bayesian model
    5. 4 Interim summary
    6. 5 Beyond shape: Object detection entails access to meaning
    7. 6 How high is high?
    8. 7 Conclusion