Locality, modularity, and computational neural networks

Abstract

There is a distinction between locality and modularity. These two terms have often been used interchangeably in the target article and commentary. Using this distinction we argue in favor of a “weak” modularity. In addition we also argue that both PDP-type networks and box-and-arrow models have their own strengths and pitfalls.