Volume 9, Number 1, January 1997 Articles
: Lyapunov Functions for Neural Nets with Nondifferentiable Input-Output Characteristics.
: Detecting Synchronous Cell Assemblies with Limited Data and Overlapping Assemblies.
, Shigeru Tanaka
: A Simple Neural Network Exhibiting Selective Activation of Neuronal Ensemblies: From Winner-Take-All to Winners-Share-All.
: Playing Billiards in Version Space.
, Ryohei Nakano
: Partial BFGS Update and Efficient Step-Length Calculation for Three-Layer Neural Networks.
: A Penalty-Function Approach for Pruning Feedforward Neural Networks.
: Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting.
Volume 9, Number 2, February 1997 Articles
, Eric L. Schwartz
: Computing with the Leaky Integrate-and-Fire Neuron: Logarithmic Computation and Multiplication.
Eduardo D. Sontag
: Shattering All Sets of k Points in 'General Position' Requires (k - 1)/2 Parameters.
: Statistical Inference, Occam's Razor, and Statistical Mechanics on the Space of Probability Distributions.
Robert A. Jacobs
: Bias/Variance Analyses of Mixtures-of-Experts Architectures.
Volume 9, Number 3, April 1997 Articles
: A Simple Model of Transmitter Release and Facilitation.
, Risto Miikkulainen
: Topographic Receptive Fields and Patterned Lateral Interaction in a Self-Organizing Model of the Primary Visual Cortex.
Marc M. Van Hulle
: The Formation of Topographic Maps Which Maximize the Average Mutual Information of the Output Responses to Noiseless Input Signals.
: Hyperparameter Selection for Self-Organizing Maps.
Ali A. Minai
: Covariance Learning of Correlated Patterns in Competitive Networks.
Volume 9, Number 4, May 197 Reviews
Bartlett W. Mel
: SEEMORE: Combining Color, Shape and Texture Histogramming in a Neurally-Inspired Approach to Visual Object Recognition.
, William A. Phillips
: Activation Functions, Computational Goals and Learning Rules for Local Processors with Contextual Guidance.
Volume 9, Number 5, July 1997 Articles
: A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-test Split.
Volume 9, Number 6, August 1997 Reviews
: Note on Free Lunches and Cross-validation.
: Self-Organizing Map with Dynamical Node Splitting: Application to Handwritten Digit Recognition.
: Information Controller to Maximize and Minimize Information.
Volume 9, Number 7, October 1997 Articles
, Néstor Parga
: Redundancy Reduction and Independent Component Analysis: Conditions on Cumulants and Adaptive Approaches.
Howard Hua Yang
, Shun-ichi Amari
: Adaptive On-line Learning Algorithms for Blind Separation-Maximization Entropy and Minimum Mutual Information.
James R. Williamson
: A Constructive, Incremental-learning Network for Mixture Modeling and Classification.
Volume 9, Number 8, November 1997 Articles
: A Local Learning Rule That Enables Information Maximization for Arbitrary Input Distributions.
: Convergence and Ordering of Kohonen's Batch Map.
: Adaptive Mixtures of Probabilistic Transducers.