Introduction and Overview

 

 
• Computational Cognitive Neuroscience
• Basic Motivations for Computational Cognitive Neuroscience
  • Physical Reductionism
  • Reconstructionism
  • Levels of Analysis
  • Scaling Issues
• Historical Context
• Overview of Our Approach
• General Issues in Computational Modeling
  • Advantages:
  • Problems:
• Motivating Cognitive Phenomena and Their Biological Bases
  • Parallelism
  • Gradedness
  • Interactivity
  • Competition
  • Learning
• Organization of the Book
• Further Reading