Neural Network Models of Cognitive Development

Abstract

This chapter covers neural network modeling (also known as connectionist or parallel distributed processing modeling) as a tool for studying developmental cognitive neuroscience. Neural network models provide a powerful method for exploring the complex relation between brain development and cognitive development. This chapter reviews what neural network models consist of, why modeling is useful, and how models have helped to address fundamental questions about development. Important challenges for this methodology are also discussed, along with productive directions for future work within the neural network modeling framework.