NeCo 1993

73 papers

A Function Estimation Approach to Sequential Learning with Neural Networks Visakan Kadirkamanathan, Mahesan Niranjan

A Kinetic Model of Short- and Long-Term Potentiation Michele Migliore, G. F. Ayala

A Model for Motor Endplate Morphogenesis: Diffusible Morphogens, Transmembrane Signaling, and Compartmentalized Gene Expression Michel Kerszberg, Jean-Pierre Changeux

A Neural Network for the Processing of Optic Flow from Ego-Motion in Man and Higher Mammals Markus Lappe, Josef P. Rauschecker

A Neural Network Model of Inhibitory Information Processing in Aplysia Diana E. J. Blazis, Thomas M. Fischer, Thomas J. Carew

A Neural Network That Learns to Interpret Myocardial Planar Thallium Scintigrams Charles R. Rosenberg, Jacob Erel, Henri Atlan

A Polynomial Time Algorithm for Generating Neural Networks for Pattern Classification: Its Stability Properties and Some Test Results Somnath Mukhopadhyay, Asim Roy, Lark Sang Kim, Sandeep Govil

A Simplified Gradient Algorithm for IIR Synapse Multilayer Perceptrons Andrew D. Back, Ah Chung Tsoi

Acetylcholine and Learning in a Cortical Associative Memory Michael E. Hasselmo

Analysis of Neuron Models with Dynamically Regulated Conductances L. F. Abbott, Gwendal Le Masson

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

Arbitrary Elastic Topologies and Ocular Dominance Peter Dayan

Artificial Dendritic Trees John G. Elias

Attraction Radii in Binary Hopfield Nets Are Hard to Compute Patrik Floréen, Pekka Orponen

Backpropagation with Homotopy Liping Yang, Wanzhen Yu

Centered-Object Integrated Segmentation and Recognition of Overlapping Handprinted Characters Gale L. Martin

Clustering Data by Melting Yiu-fai Isaac Wong

Coarse Coding Resource-Allocating Network Gustavo Deco, Jürgen Ebmeyer

Combining Exploratory Projection Pursuit and Projection Pursuit Regression with Application to Neural Networks Nathan Intrator

Complexity Optimized Data Clustering by Competitive Neural Networks Joachim M. Buhmann, Hans Kühnel

Computational Diversity in a Formal Model of the Insect Olfactory Macroglomerulus Christiane Linster, Claudine Masson, Michel Kerszberg, Léon Personnaz, Gérard Dreyfus

Constraints on Synchronizing Oscillator Networks David E. Cairns, Roland J. Baddeley, Leslie S. Smith

Construction of Minimal N-2-N Encoders for Any N Dhananjay S. Phatak, Hoon Choi, Israel Koren

Convergent Algorithm for Sensory Receptive Field Development Joseph J. Atick, A. Norman Redlich

Conversion of Temporal Correlations Between Stimuli to Spatial Correlations Between Attractors M. Griniasty, M. V. Tsodyks, Daniel J. Amit

Discovering Predictable Classifications Jürgen Schmidhuber, Daniel Prelinger

Dynamics of Populations of Integrate-and-Fire Neurons, Partial Synchronization and Memory Marius Usher, Heinz G. Schuster, Ernst Niebur

Emergence of Position-Independent Detectors of Sense of Rotation and Dilation with Hebbian Learning: An Analysis Kechen Zhang, Martin I. Sereno, Margaret E. Sereno

Fast Calculation of Synaptic Conductances Rajagopal Srinivasan, Hillel J. Chiel

Fast Recognition of Noisy Digits Jeffrey N. Kidder, Daniel Seligson

Generalization and Approximation Capabilities of Multilayer Networks Yoshikane Takahashi

Hints and the VC Dimension Yaser S. Abu-Mostafa

Improving Generalization for Temporal Difference Learning: The Successor Representation Peter Dayan

Improving Rejection Performance on Handwritten Digits by Training with "Rubbish" Jane Bromley, John S. Denker

Learning Competition and Cooperation Sungzoon Cho, James A. Reggia

Learning Finite State Machines with Self-Clustering Recurrent Networks Zheng Zeng, Rodney M. Goodman, Padhraic Smyth

Learning in the Recurrent Random Neural Network Erol Gelenbe

Learning Mixture Models of Spatial Coherence Suzanna Becker, Geoffrey E. Hinton

Learning to Generalize from Single Examples in the Dynamic Link Architecture Wolfgang Konen, Christoph von der Malsburg

Limitations of the Hodgkin-Huxley Formalism: Effects of Single Channel Kinetics on Transmembrane Voltage Dynamics Adam F. Strassberg, Louis J. DeFelice

Local Algorithms for Pattern Recognition and Dependencies Estimation Vladimir Vapnik, Léon Bottou

Models of Perceptual Learning in Vernier Hyperacuity Yair Weiss, Shimon Edelman, Manfred Fahle

Neural Network Modeling of Memory Deterioration in Alzheimer's Disease David Horn, Eytan Ruppin, Marius Usher, Michael Herrmann

Neural Networks and Nonlinear Adaptive Filtering: Unifying Concepts and New Algorithms Olivier Nerrand, Pierre Roussel-Ragot, Léon Personnaz, Gérard Dreyfus, Sylvie Marcos

Neural Networks for Fingerprint Recognition Pierre Baldi, Yves Chauvin

Neural Networks for Optimization Problems with Inequality Constraints: The Knapsack Problem Mattias Ohlsson, Carsten Peterson, Bo Söderberg

Neural Representation of Space Using Sinusoidal Arrays David S. Touretzky, A. David Redish, Hank S. Wan

On an Unsupervised Learning Rule for Scalar Quantization Following the Maximum Entropy Principle Marc M. Van Hulle, Dominique Martinez

On Learning Perceptrons with Binary Weights Mostefa Golea, Mario Marchand

On the Geometry of Feedforward Neural Network Error Surfaces An Mei Chen, Haw-minn Lu, Robert Hecht-Nielsen

On the Realization of a Kolmogorov Network Ji-Nan Lin, Rolf Unbehauen

Optimal Network Construction by Minimum Description Length Gary David Kendall, Trevor J. Hall

Pattern Discrimination Using Feedforward Networks: A Benchmark Study of Scaling Behavior Thorsteinn S. Rögnvaldsson

Patterns of Local Connectivity in the Neocortex Andrew Nicoll, Colin Blakemore

Rational Function Neural Network Henry Leung, Simon Haykin

Recurrent and Feedforward Polynomial Modeling of Coupled Time Series Vicente López, Ramón Huerta, José R. Dorronsoro

Redundancy Reduction as a Strategy for Unsupervised Learning A. Norman Redlich

Robustness in Multilayer Perceptrons P. Kerlirzin, F. Vallet

Sensitivity of Synaptic Plasticity to the Ca2+ Permeability of NMDA Channels: A Model of Long-Term Potentiation in Hippocampal Neurons Erik De Schutter, James M. Bower

Statistical Mechanics for a Network of Spiking Neurons Leonid Kruglyak, William Bialek

Statistical Theory of Learning Curves Under Entropic Loss Criterion Shun-ichi Amari, Noboru Murata

Stimulus-Dependent Synchronization of Neuronal Assemblies E. R. Grannan, D. Kleinfeld, Haim Sompolinsky

Supervised Factorial Learning A. Norman Redlich

Surface Interpolation Networks Alex Pentland

The Characteristics of the Convergence Time of Associative Neural Networks Toshiaki Tanaka, Miki Yamada

The Effects of Cell Duplication and Noise in a Pattern Generating Network Catherine H. Ferrar, Thelma L. Williams, Graham Bowtell

The Use of Neural Networks in High-Energy Physics Bruce Denby

The Variance of Covariance Rules for Associative Matrix Memories and Reinforcement Learning Peter Dayan, Terrence J. Sejnowski

Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features Nathan Intrator, Joshua I. Gold

Training Periodic Sequences Using Fourier Series Error Criterion James A. Kottas

Two-Dimensional Motion Perception in Flies Alexander Borst, Martin Egelhaaf, H. S. Seung

Universal Approximation by Phase Series and Fixed-Weight Networks Neil E. Cotter, Peter R. Conwell

Vapnik-Chervonenkis Dimension Bounds for Two- and Three-Layer Networks Peter L. Bartlett