Advances in Control Networks and Large Scale Parallel Distributed Processing Models (Book)
Edition
Series Editor's Preface
1 Self-Organizing Neural Networks: Hebbian Learning
in Development and Biological Computing
Daniel M. Kammen and Alan L. Yuille
2 The Neuron as a Reprogrammable Computing Element
in Neural Networks Daniel K. Hartline
3 Synergistic Interactions Among Distinct Populations of Neurons
James L. Eilbert and Allon Guez
4 Competitive Activation Mechanisms in Connectionist Models
James A. Reggia, Granger Sutton, and Sungzoon Cho
5 Decentralized Control of Access to Resources in a Network:
Interdependence of Strategies in a Challenge Ring Model
Ross A. Gagliano and Mark E. Schaefer
6 Network Models of Motor Systems with Many Degrees
of Freedom
F. A. Mussa-Iva/di, E. Bizzi, P. Morasso, and N. Hogan
7 Stability, Convergence , and Computation of Stereotype
Voting Groups
Thomas G. Windeknecht and Ross A. Gagliano
8 The CARELIA Simulator: A Development and Specification
Environment for Neural Networks
Pasi Koikkalainen and Erkki Oja
9 The Maryland MIRRORS/II Simulation Environment
for Developing Connectionist Models
C. Lynne D'Autrechy and James A. Reggia
10 Neural Network Simulation with Glauber Dynamics
on a Generic Multiprocessor
J. M. Cavallo, R. H. Baran, and J. B. Restorff
11 Computational Logic of Network Processes
William P. Coleman
12 Information Systems and Neural Networks
Ruth S. Dare and George W. Zobrist
Author Index
Subject Index