Volume 7, Number 1, 1994
Michael E. Hasselmo
: Runaway synaptic modification in models of cortex: Implications for Alzheimer's disease.
: Invariant body kinematics: I. Saccadic and compensatory eye movements.
: Invariant body kinematics: II. Reaching and neurogeometry.
Eric B. Bartlett
: Dynamic node architecture learning: An information theoretic approach.
Gail A. Carpenter
: A distributed outstar network for spatial pattern learning.
: Three algorithms for estimating the domain of validity of feedforward neural networks.
: Recognition and segmentation of connected characters with selective attention.
Volume 7, Number 2, 1994
: Oscillatory neural network and learning of continuously transformed patterns.
: Adaptive control of dynamic systems by back propagation network.
Volume 7, Number 3, 1994
Morris W. Hirsch
: Saturation at high gain in discrete time recurrent networks.
Daniel C. Chin
: A more efficient global optimization algorithm based on Styblinski and Tang.
Volume 7, Number 4, 1994
, Adam Krzyzak
, Alan L. Yuille
: On radial basis function nets and kernel regression: Statistical consistency, convergence rates, and receptive field size.
: A deterministic annealing neural network for convex programming.
Laura I. Burke
: Neural methods for the traveling salesman problem: Insights from operations research.
Volume 7, Number 5, 1994
Galina L. Rogova
: Combining the results of several neural network classifiers.
Brian A. Telfer
, Harold Szu
: Energy functions for minimizing misclassification error with minimum-complexity networks.
Volume 7, Number 6-7, 1994 Models of Neurodynamics and Behavior
1994 Special Issue
Ivan A. Bachelder
, Allen M. Waxman
: Mobile robot visual mapping and localization: A view-based neurocomputational architecture that emulates hippocampal place learning.
Raju S. Bapi
, Daniel S. Levine
: Modeling the role of frontal lobes in sequential task performance. I. Basic structure and primacy effects.
Volume 7, Number 8, 1994
, Ryohei Nakano
: A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers.
Ronald R. Yager
: Modeling and formulating fuzzy knowledge bases using neural networks.
: How to make sigma-pi neural networks perform perfectly on regular training sets.
: A subspace projection approach to feature extraction: The two-dimensional gabor transform for character recognition.
Volume 7, Number 9, 1994
Brendan L. Rogers
: New neural multiprocess memory model for adaptively regulating associative learning.
: Improving recall in associative memories by dynamic threshold.
: Training neural nets through stochastic minimization.
: Growing cell structures--A self-organizing network for unsupervised and supervised learning.