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ORCIDNeural Computation, Volume 7
Volume 7, Number 1, January 1995
- Michael S. Gazzaniga:
On neural circuits and cognition. 1-12
- Shun-ichi Amari:
The EM Algorithm and Information Geometry in Neural Network Learning. 13-18 - Michel Benaïm
:
Convergence Theorems for Hybrid Learning Rules. 19-24 - Graeme Mitchison:
A Type of Duality between Self-Organizing Maps and Minimal Wiring. 25-35 - Hans-Ulrich Bauer:
Development of oriented ocular dominance bands as a consequence of areal geometry. 36-50 - Eric Saund:
A Multiple Cause Mixture Model for Unsupervised Learning. 51-71 - David G. Lowe:
Similarity Metric Learning for a Variable-Kernel Classifier. 72-85 - Gustavo Deco, William Finnoff, Hans-Georg Zimmermann:
Unsupervised Mutual Information Criterion for Elimination of Overtraining in Supervised Multilayer Networks. 86-107 - Christopher M. Bishop:
Training with Noise is Equivalent to Tikhonov Regularization. 108-116 - Peter M. Williams:
Bayesian Regularization and Pruning Using a Laplace Prior. 117-143 - Ronny Meir:
Empirical Risk Minimization versus Maximum-Likelihood Estimation: A Case Study. 144-157 - Yoshiyuki Kabashima, Shigeru Shinomoto:
Learning a Decision Boundary from Stochastic Examples: Incremental Algorithms with and without Queries. 158-172 - Sergio A. Cannas:
Arithmetic Perceptrons. 173-181 - David Horn, Eytan Ruppin:
Compensatory mechanisms in an attractor neural network model of schizophrenia. 182-205 - Christopher M. Bishop, Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman:
Real-Time Control of a Tokamak Plasma Using Neural Networks. 206-217
Volume 7, Number 2, March 1995
- Federico Girosi, Michael J. Jones, Tomaso A. Poggio:
Regularization Theory and Neural Networks Architectures. 219-269 - Dimitri P. Bertsekas:
A Counterexample to Temporal Differences Learning. 270-279 - Eel-Wan Lee, Soo-Ik Chae:
New Perceptron Model Using Random Bitstreams. 280-283 - Marco Budinich, John G. Taylor:
On the Ordering Conditions for Self-Organizing Maps. 284-289 - Ruye Wang:
A simple competitive account of some response properties of visual neurons in area MSTd. 290-306 - David Hansel, Germán Mato, Claude Meunier:
Synchrony in excitatory neural networks. 307-337 - Gustavo Deco, Dragan Obradovic:
Decorrelated Hebbian Learning for Clustering and Function Approximation. 338-348 - Asriel U. Levin, Kumpati S. Narendra:
Identification Using Feedforward Networks. 349-369 - Sung-Bae Cho, Jin H. Kim:
An HMM/MLP Architecture for Sequence Recognition. 358-369 - Tom Bylander:
Learning Linear Threshold Approximations Using Perceptrons. 370-379 - Guillaume Deffuant:
An Algorithm for Building Regularized Piecewise Linear Discrimination Surfaces: The Perceptron Membrane. 380-398 - Alessandro Treves, Stefano Panzeri:
The Upward Bias in Measures of Information Derived from Limited Data Samples. 399-407 - Shimon Edelman:
Representation of similarity in three-dimensional object discrimination. 408-423
Volume 7, Number 3, May 1995
- E. Erwin, Klaus Obermayer, Klaus Schulten:
Models of orientation and ocular dominance columns in the visual cortex: a critical comparison. 425-468
- Peter König, Andreas K. Engel, Pieter R. Roelfsema, Wolf Singer:
How precise is neuronal synchronization? 469-485 - C. Richard Murphey, Lee E. Moore, James T. Buchanan:
Quantitative analysis of electrotonic structure and membrane properties of NMDA-activated lamprey spinal neurons. 486-506 - Marco Idiart, Barry Berk, L. F. Abbott:
Reduced Representation by Neural Networks with Restricted Receptive Fields. 507-517 - Toru Ohira, Jack D. Cowan:
Stochastic Single Neurons. 518-528 - Tomoki Fukai, Masatoshi Shiino:
Memory Recall by Quasi-Fixed-Point Attractors in Oscillator Neural Networks. 529-548 - Richard S. Zemel, Geoffrey E. Hinton:
Learning Population Codes by Minimizing Description Length. 549-564 - Peter Dayan, Richard S. Zemel:
Competition and Multiple Cause Models. 565-579 - Alan L. Yuille, Stelios M. Smirnakis, Lei Xu:
Bayesian Self-Organization Driven by Prior Probability Distributions. 580-595 - Riccardo Rovatti, R. Ragazzoni, Zsolt Miklós Kovács-Vajna, Roberto Guerrieri:
Adaptive Voting Rules for k-Nearest Neighbors Classifiers. 594-605 - Mark J. L. Orr:
Regularization in the Selection of Radial Basis Function Centers. 606-623 - William G. Baxt, Halbert White:
Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction. 624-638
Volume 7, Number 4, July 1995
- Yaser S. Abu-Mostafa:
Hints. 639-671
- Frans M. Coetzee, Virginia L. Stonick:
Topology and Geometry of Single Hidden Layer Network, Least Squares Weight Solutions. 672-705 - Barak A. Pearlmutter:
Time-Skew Hebb rule in a nonisopotential neuron. 706-712 - François Chapeau-Blondeau, Nicolas Chambet:
Synapse models for neural networks: from ion channel kinetics to multiplicative coefficient wij. 713-734 - Ning Qian:
Generalization and analysis of the Lisberger-Sejnowski VOR model. 735-752 - Robert M. Sanner, Jean-Jacques E. Slotine:
Stable Adaptive Control of Robot Manipulators Using "Neural" Networks. 753-790 - Younès Bennani:
A modular and hybrid connectionist system for speaker identification. 791-798 - Keehoon Kim, Eric B. Bartlett:
Error Estimation by Series Association for Neural Network Systems. 799-808 - David Barber, David Saad, Peter Sollich:
Test Error Fluctuations in Finite Linear Perceptrons. 809-821 - Peter Tiño, Jozef Sajda:
Learning and Extracting Initial Mealy Automata with a Modular Neural Network Model. 822-844 - Jörg Bruske, Gerald Sommer:
Dynamic Cell Structure Learns Perfectly Topology Preserving Map. 845-865
Volume 7, Number 5, September 1995
- Robert A. Jacobs:
Methods for combining experts' probability assessments. 867-888
- Peter Dayan, Geoffrey E. Hinton, Radford M. Neal, Richard S. Zemel:
The Helmholtz machine. 889-904 - C. Fohlmeister, Wulfram Gerstner, Raphael Ritz, J. Leo van Hemmen:
Spontaneous excitations in the visual cortex: stripes, spirals, rings, and collective bursts. 905-914 - John L. Wyatt Jr., Ibrahim M. Elfadel:
Time-Domain Solutions of Oja's Equations. 915-922 - Mikel L. Forcada, Rafael C. Carrasco:
Learning the Initial State of a Second-Order Recurrent Neural Network during Regular-Language Inference. 923-930 - René Alquézar, Alberto Sanfeliu:
An Algebraic Framework to Represent Finite State Machines in Single-Layer Recurrent Neural Networks. 931-949 - Vijay V. Phansalkar, M. A. L. Thathachar:
Local and Global Optimization Algorithms for Generalized Learning Automata. 950-973 - Todd K. Leen:
From Data Distributions to Regularization in Invariant Learning. 974-981 - Mikko Lehtokangas, Jukka Saarinen, Kimmo Kaski, Pentti Huuhtanen:
Initializing Weights of a Multilayer Perceptron Network by Using the Orthogonal Least Squares Algorithm. 982-999 - Jason A. S. Freeman, David Saad:
Learning and generalization in radial basis function networks. 1000-1020 - Maxwell B. Stinchcombe:
Precision and Approximate Flatness in Artificial Neural Networks. 1021-1039 - Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes. 1040-1053 - Wolfgang Maass:
Agnostic PAC Learning of Functions on Analog Neural Nets. 1054-1078 - Ibrahim M. Elfadel:
Convex Potentials and their Conjugates in Analog Mean-Field Optimization. 1079-1104 - Eytan Ruppin, James A. Reggia:
Patterns of functional damage in neural network models of associative memory. 1105-1127
Volume 7, Number 6, November 1995
- Anthony J. Bell, Terrence J. Sejnowski:
An information-maximization approach to blind separation and blind deconvolution. 1129-1159 - Michael S. Gray, David T. Lawrence, Beatrice A. Golomb, Terrence J. Sejnowski:
A perceptron reveals the face of sex. 1160-1164 - Filip Mulier, Vladimir Cherkassky:
Self-organization as an iterative kernel smoothing process. 1165-1177 - Hujun Yin, Nigel M. Allinson:
On the distribution and convergence of feature space in self-organizing maps. 1178-1187 - Marco Budinich:
Sorting with self-organizing maps. 1188-1190 - Colin Fyfe:
Introducing asymmetry into interneuron learning. 1191-1205 - Bruno Raffin, Mirta B. Gordon:
Learning and generalization with Minimerror, a temperature-dependent learning algorithm. 1206-1224 - Valentina Corradi, Halbert White:
Regularized neural networks: some convergence rate results. 1225-1244 - Colin Campbell, Conrado J. Pérez Vicente:
The target switch algorithm: a constructive learning procedure for feed-forward neural networks. 1245-1264 - Sean B. Holden, Mahesan Niranjan:
On the practical applicability of VC dimension bounds. 1265-1288 - Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges:
LeRec: a NN/HMM hybrid for on-line handwriting recognition. 1289-1303
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