Hostname: page-component-745bb68f8f-lrblm Total loading time: 0 Render date: 2025-02-07T04:34:58.148Z Has data issue: false hasContentIssue false

Locality, modularity, and computational neural networks

Published online by Cambridge University Press:  01 September 1997

Horst Bischof
Affiliation:
Department for Pattern Recognition and Image Processing, Technical University Vienna, Treiltlstr, 3/1832, Austriabis@prip.tuwien.ac.at www.prip.tuwien,ac.at/
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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.

Type
Continuing Commentary
Copyright
© 1997 Cambridge University Press