- Oxford Library of Psychology
- Oxford Library of Psychology
- About the Editors
- Introduction to The Oxford Handbook of Cognitive Neuroscience: Cognitive Neuroscience: Where Are We Now?
- Salience, State, and Expression: The Influence of Specific Aspects of Emotion on Attention and Perception
- Emotion: Generation or Construction?
- The Neuroscience of Emotion Regulation: Basic Mechanisms and Their Role in Development, Aging, and Psychopathology
- The Impact of Emotion on Cognition
- Genetics and Emotion
- Visceromotor Sensation and Control
- Development of Emotion and Social Reasoning in Adolescence
- Perception of Nonverbal Cues
- Face Recognition
- The Cognitive and Neural Basis of Impression Formation
- Theory of Mind: How Brains Think about Thoughts
- The Pleasures and Pains of Social Interactions: A Social Cognitive Neuroscience Perspective
- The Neural Underpinnings of the Experience of Empathy: Lessons for Psychopathy
- Mirror Neurons and the Perception–Action Link
- The Early Development of the Brain Bases for Social Cognition
- Conflict Monitoring and Cognitive Control
- Hierarchical Cognitive Control and the Functional Organization of the Frontal Cortex
- Decision Neuroscience
- Expectancies and Beliefs: Insights from Cognitive Neuroscience
- Cognitive Neuroscience of Numerical Cognition
- Psychopharmacology of Cognition
- Attention Deficit/Hyperactivity Disorder (ADHD)
- Post-Traumatic Stress Disorder (PTSD)
- Generalized Anxiety Disorder and Social Phobia Considered from a Cognitive Neuroscience Perspective
- The Neurobiology of Obsessive-Compulsive Disorder
- Epilogue to The Oxford Handbook of Cognitive Neuroscience Cognitive Neuroscience: Where Are We Going?
Abstract and Keywords
Judging a person as a friend or foe, a mushroom as edible or poisonous, or a sound as an l or r are examples of categorization problems. This chapter considers the relative merits of four basic types of category learning models: rule-, prototype-, exemplar-, and cluster-based models. The history of model progression is marked by descendant models displaying increasingly sophisticated processing mechanisms that can manifest the behaviors of ancestral models. These four basic model types are related to the computations performed by four candidate learning systems in the human brain, which rely on prefrontal cortex, posterior occipital cortex, the striatum, and the medial temporal lobes. One issue raised is whether the prefrontal cortex and posterior occipital cortex support true learning systems or are better viewed as supporting general cognitive and perceptual abilities. Use of well-specified cognitive models can help answer related theoretical questions, such as how multiple learning systems contribute to categorization behavior.
Bradley C. Love, Cognitive, Perceptual, and Brain Sciences, University College London, London, UK
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