NDLI: Locality, modularity, and computational neural networks

Content Provider	Scilit
Author	Bischof, Horst
Copyright Year	1997
Description	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.
Related Links	https://www.cambridge.org/core/services/aop-cambridge-core/content/view/5BCB03CA1ADCE678350F568C319EE6F1/S0140525X97001507a.pdf/div-class-title-locality-modularity-and-computational-neural-networks-div.pdf
Ending Page	517
Page Count	2
Starting Page	516
ISSN	0140525X
e-ISSN	14691825
DOI	10.1017/s0140525x97221503
Journal	Behavioral and Brain Sciences
Issue Number	3
Volume Number	20
Language	English
Publisher	Cambridge University Press (CUP)
Publisher Date	1997-09-01
Access Restriction	Open
Subject Keyword	Behavioral and Brain Sciences Behavioral Sciences
Content Type	Text
Resource Type	Article
Subject	Physiology Behavioral Neuroscience Neuropsychology and Physiological Psychology

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Locality, modularity, and computational neural networks