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