Volume 9, Number 1, January 1996
Rüdiger W. Brause
: Sensor encoding using lateral inhibited self-organized cellular neural networks.
: A flexible multicomputer algorithm for artificial neural networks.
Volume 9, Number 2, March 1996
: A model visual cortex incorporating intrinsic horizontal neuronal connections.
Bill G. Horne
, Don R. Hush
: Bounds on the complexity of recurrent neural network implementations of finite state machines.
: On the match tracking anomaly of the ARTMAP neural network.
Todd W. Troyer
: Feedforward Hebbian learning with nonlinear output units: a Lyapunov approach.
Volume 9, Number 3, April 1996
, Ling Guan
: A neural network adaptive filter for the removal of impulse noise in digital images.
: A network model for the optic flow computation of the MST neurons.
George A. Christos
: Investigation of the Crick-Mitchison reverse-learning dream sleep hypothesis in a dynamical setting.
: A quantitative study of experimental evaluations of neural network learning algorithms: Current research practice.
Mary M. Moya
, Don R. Hush
: Network constraints and multi-objective optimization for one-class classification.
: New rigorous results for the Hopfield's neural network model.
, Kenji Kondo
: A massively parallel resistive network for "weak rod": A double-layer architecture with nearest-neighbor connections.
Volume 9, Number 4, June 1996
, Zheng Bao
: Radar target recognition using a radial basis function neural network.
Volume 9, Number 5, July 1996
David A. Sprecher
: A Numerical Implementation of Kolmogorov's Superpositions.
: A Regularity Condition of the Information Matrix of a Multilayer Perceptron Network.
James R. Williamson
: Gaussian ARTMAP: A Neural Network for Fast Incremental Learning of Noisy Multidimensional Maps.
Volume 9, Number 6, August 1996
: Mechanisms of Neural Architecture for Visual Contrast and Brightness Perception.
: General Gaussian Priors for Improved Generalization.
: An Integral Representation of Functions Using Three-layered Networks and Their Approximation Bounds.
: Back-propagation is not Efficient.
David A. Cohn
: Neural Network Exploration Using Optimal Experiment Design.
Volume 9, Number 7, October 1996
, Khashayar Khorasani
: An Adaptive Structure Neural Networks with Application to EEG Automatic Seizure Detection.
Volume 9, Number 8, November 1996
: Self-tuning Optimal Regulation of Respiratory Motor Output by Hebbian Covariance Learning.
: Notions of Associative Memory and Sparse Coding.
: Representation of Visual Features of Objects in the Inferotemporal Cortex.
: Memory and Learning of Sequential Patterns by Nonmonotone Neural Networks.
Volume 9, Number 9, December 1996
: Using Spatio-temporal Correlations to Learn Invariant Object Recognition.