NeCo 1991

52 papers

2-Degree-of-Freedom Robot Path Planning Using Cooperative Neural Fields Michael Lemmon

A Biologically Supported Error-Correcting Learning Rule Peter J. B. Hancock, Leslie S. Smith, William A. Phillips

A Computer Simulation of Oscillatory Behavior in Primary Visual Cortex Matthew A. Wilson, James M. Bower

A Matrix Method for Optimizing a Neural Network Simon A. Barton

A Modified Quickprop Algorithm Alistair C. Veitch, Geoffrey Holmes

A Practical Approach for Representing Context and for Performing Word Sense Disambiguation Using Neural Networks Stephen I. Gallant

A Resource-Allocating Network for Function Interpolation John C. Platt

A Tree-Structured Algorithm for Reducing Computation in Networks with Separable Basis Functions Terence D. Sanger

Adaptive Mixtures of Local Experts Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, Geoffrey E. Hinton

An Exponential Response Neural Net Shlomo Geva, Joaquin Sitte

Constrained Nets for Graph Matching and Other Quadratic Assignment Problems Petar D. Simic

Contrastive Learning and Neural Oscillations Pierre Baldi, Fernando J. Pineda

Deciphering the Brain's Codes Masakazu Konishi

Dynamics and Formation of Self-Organizing Maps Jun Zhang

Efficient Training of Artificial Neural Networks for Autonomous Navigation Dean Pomerleau

FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling Andrew D. Back, Ah Chung Tsoi

Generalization Effects of K-Neighbor Interpolation Training Takeshi Kawabata

Handwritten Digit Recognition Using K Nearest-Neighbor, Radial-Basis Function, and Backpropagation Neural Networks Yuchun Lee

Improving the Generalization Properties of Radial Basis Function Neural Networks Chris Bishop

Including Hints in Training Neural Nets Khalid A. Al-Mashouq, Irving S. Reed

Kolmogorov's Theorem Is Relevant Vera Kurková

Learning by Asymmetric Parallel Boltzmann Machines Bruno Apolloni, Diego de Falco

Learning Invariance from Transformation Sequences Peter Földiák

Learning the Unlearnable Dan Nabutovsky, Eytan Domany

Lowering Variance of Decisions by Using Artificial Neural Network Portfolios Ganesh Mani

Neural Network Classifiers Estimate Bayesian a Posteriori Probabilities Michael D. Richard, Richard P. Lippmann

On the Characteristics of the Autoassociative Memory with Nonzero-Diagonal Terms in the Memory Matrix Jung-Hua Wang, Thomas F. Krile, John F. Walkup, Tai-Lang Jong

On the Convergence of the LMS Algorithm with Adaptive Learning Rate for Linear Feedforward Networks Zhi-Quan Luo

On the Mechanisms Underlying Directional Selectivity Haluk Ögmen

Organization of Binocular Pathways: Modeling and Data Related to Rivalry Sidney R. Lehky, Randolph Blake

Oscillating Networks: Control of Burst Duration by Electrically Coupled Neurons L. F. Abbott, Eve Marder, Scott L. Hooper

Pacemaker-Induced Coherence in Cortical Networks Alain Destexhe, Agnessa Babloyantz

Parallel Activation of Memories in an Oscillatory Neural Network David Horn, Marius Usher

Parameter Sensitivity of the Elastic Net Approach to the Traveling Salesman Problem Martin W. Simmen

Parsing Complex Sentences with Structured Connectionist Networks Ajay N. Jain

Predicting the Future: Advantages of Semilocal Units Eric Hartman, James D. Keeler

Recognizing Hand-Printed Letters and Digits Using Backpropagation Learning Gale L. Martin, James A. Pittman

Recurrent Network Model of the Neural Mechanism of Short-Term Active Memory David Zipser

Removing Time Variation with the Anti-Hebbian Differential Synapse Graeme Mitchison

Rules and Variables in Neural Nets Venkat Ajjanagadde, Lokendra Shastri

Segmentation, Binding, and Illusory Conjunctions David Horn, D. Sagi, Marius Usher

Sequence Manipulation Using Parallel Mapping Networks David S. Touretzky, Deirdre W. Wheeler

Simulations of a Reconstructed Cerebellar Purkinje Cell Based on Simplified Channel Kinetics Paul C. Bush, Terrence J. Sejnowski

Stimulus-Dependent Assembly Formation of Oscillatory Responses: I. Synchronization Peter König, Thomas B. Schillen

Stimulus-Dependent Assembly Formation of Oscillatory Responses: II. Desynchronization Thomas B. Schillen, Peter König

Symmetric Neural Networks and Propositional Logic Satisfiability Gadi Pinkas

Synchronization of Bursting Action Potential Discharge in a Model Network of Neocortical Neurons Paul C. Bush, Rodney J. Douglas

TAG: A Neural Network Model for Large-Scale Optical Implementation Hyuek-Jae Lee, Soo-Young Lee, Sang-Yung Shin, Bo-Yun Koh

Temporal Evolution of Generalization During Learning in Linear Networks Pierre Baldi, Yves Chauvin

The Transition to Perfect Generalization in Perceptrons Eric B. Baum, Yuh-Dauh Lyuu

Universal Approximation Using Radial-Basis-Function Networks Jooyoung Park, Irwin W. Sandberg

Weight Perturbation: An Optimal Architecture and Learning Technique for Analog VLSI Feedforward and Recurrent Multilayer Networks Marwan A. Jabri, Barry Flower