Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-26T10:38:36.885Z 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, [email protected] www.prip.tuwien,ac.at/

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.

Type
Continuing Commentary
Copyright
© 1997 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)