The Design and Evolution of Modular Neural Network Architectures

The Design and Evolution of Modular Neural Network Architectures (1994)

by Bart L.M. Happel , Jacob M. J. Murre

Venue:	Neural Networks
Citations:	44 - 0 self

User correction supplied by SystemCorrections

Datum	Value	Source
TITLE	The Design and Evolution of Modular Neural Network Architectures	user correction - Legacy Corrections
AUTHOR NAME	Bart L.M. Happel	user correction - Legacy Corrections
AUTHOR NAME	Jacob M. J. Murre	user correction - Legacy Corrections
AUTHOR AFFIL	2	user correction - Legacy Corrections
ABSTRACT	To investigate the relations between structure and function in both artificial and natural neural networks, we present a series of simulations and analyses with modular neural networks. We suggest a number of design principles in the form of explicit ways in which neural modules can cooperate in recognition tasks. These results may supplement recent accounts of the relation between structure and function in the brain. The networks used consist out of several modules, standard subnetworks that serve as higher-order units with a distinct structure and function. The simulations rely on a particular network module called CALM (Murre, Phaf, and Wolters, 1989, 1992). This module, developed mainly for unsupervised categorization and learning, is able to adjust its local learning dynamics. The way in which modules are interconnected is an important determinant of the learning and categorization behaviour of the network as a whole. Based on arguments derived from neuroscience, psychology, compu...	user correction - Legacy Corrections
YEAR	1994	INFERENCE
VENUE	Neural Networks	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	985--1004	INFERENCE
VOLUME	7	INFERENCE
CITATIONS	128 found	ParsCit 1.0