Volume 6,
Number 1,
January 1994
Article
Note
Letters
- Alexander V. Lukashin, Apostolos P. Georgopoulos:
A Neural Network for Coding of Trajectories by Time Series of Neuronal Population Vectors.
19-28
- Terence D. Sanger:
Theoretical Considerations for the Analysis of Population Coding in Motor Cortex.
29-37
- Dean V. Buonomano, Michael D. Mauk:
Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses.
38-55
- Allan Gottschalk, Malcolm D. Ogilvie, Diethelm W. Richter, Allan I. Pack:
Computational Aspects of the Respiratory Pattern Generator.
56-68
- Thomas LoFaro, Nancy Kopell, Eve Marder, Scott L. Hooper:
Subharmonic Coordination in Networks of Neurons with Slow Conductances.
69-84
- Ali A. Minai, William B. Levy:
Setting the Activity Level in Sparse Random Networks.
85-99
- Kenneth D. Miller, David J. C. MacKay:
The Role of Constraints in Hebbian Learning.
100-126
- Zhaoping Li, Joseph J. Atick:
Toward a Theory of the Striate Cortex.
127-146
- Barak A. Pearlmutter:
Fast Exact Multiplication by the Hessian.
147-160
- Andrew H. Gee, Richard W. Prager:
Polyhedral Combinatorics and Neural Networks.
161-180
Volume 6,
Number 2,
March 1994
Article
Notes
- Gerald Tesauro:
TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play.
215-219
- L. F. Cugliandolo:
Correlated Attractors from Uncorrelated Stimuli.
220-224
Letters
Volume 6,
Number 3,
May 1994
Review
Article
Letters
- Ning Qian:
Computing Stereo Disparity and Motion with Known Binocular Cell Properties.
390-404
- Edwin E. Munro, Larry E. Shupe, Eberhard E. Fetz:
Integration and Differentiation in Dynamic Recurrent Neural Networks.
405-419
- Chung-Ming Kuan, Kurt Hornik, Halbert White:
A Convergence Result for Learning in Recurrent Neural Networks.
420-440
- Csaba Szepesvári, László Balázs, András Lörincz:
Topology Learning Solved by Extended Objects: A Neural Network Model.
441-458
- Pascal Koiran:
Dynamics of Discrete Time, Continuous State Hopfield Networks.
459-468
- K. P. Unnikrishnan, Kootala P. Venugopal:
Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks.
469-490
- Jean-Pierre Nadal, Néstor Parga:
Duality Between Learning Machines: A Bridge Between Supervised and Unsupervised Learning.
491-508
- Hong Pi, Carsten Peterson:
Finding the Embedding Dimension and Variable Dependencies in Time Series.
509-520
- Dimitry Gorinevsky, Thomas H. Connolly:
Comparison of Some Neural Network and Scattered Data Approximations: The Inverse Manipulator Kinematics Example.
521-542
- Vera Kurková, Paul C. Kainen:
Functionally Equivalent Feedforward Neural Networks.
543-558
Volume 6,
Number 4,
July 1994
Article
Note
Letters
- Geoffrey J. Goodhill, David J. Willshaw:
Elastic Net Model of Ocular Dominance: Overall Stripe Pattern and Monocular Deprivation.
615-621
- Öjvind Bernander, Christof Koch, Marius Usher:
The Effect of Synchronized Inputs at the Single Neuron Level.
622-641
- Haim Sompolinsky, Michail Tsodyks:
Segmentation by a Network of Oscillators with Stored Memories.
642-657
- Yukio Hayashi:
Numerical Bifurcation Analysis of an Oscillatory Neural Network with Synchronous/Asynchronous Connections.
658-667
- J. Devin McAuley, Joseph Stampfli:
Analysis of the Effects of Noise on a Model for the Neural Mechanism of Short-Term Active Memory.
668-678
- Bard Ermentrout:
Reduction of Conductance-Based Models with Slow Synapses to Neural Nets.
679-695
- Kenji Doya, Allen I. Selverston:
Dimension Reduction of Biological Neuron Models by Artificial Neural Networks.
696-717
- Gary M. Scott, W. Harmon Ray:
Neural Network Process Models Based on Linear Model Structures.
718-738
- Juha Karhunen:
Stability of Oja's PCA Subspace Rule.
739-747
- Man-Fung Cheung, Kevin M. Passino, Stephen Yurkovich:
Supervised Training of Neural Networks via Ellipsoid Algorithms.
748-760
- N. Scott Cardell, Wayne H. Joerding, Ying Li:
Why Some Feedforward Networks Cannot Learn Some Polynomials.
761-766
Volume 6,
Number 5,
September 1994
Articles
Note
- Alan M. N. Fu:
Statistical Analysis of an Autoassociative Memory Network.
837-841
Letters
Volume 6,
Number 6,
November 1994
Review
Letters
- Paul A. Rhodes, Charles M. Gray:
Simulations of Intrinsically Bursting Neocortical Pyramidal Neurons.
1086-1110
- Venkatesh N. Murthy, Eberhard E. Fetz:
Effects of Input Synchrony on the Firing Rate of a Three-Conductance Cortical Neuron Model.
1111-1126
- Ying-Cheng Lai, Raimond L. Winslow, Murray B. Sachs:
The Functional Role of Excitatory and Inhibitory Interactions in Chopper Cells of the Anteroventral Cochlear Nucleus.
1127-1140
- Carlos Lourenço, Agnessa Babloyantz:
Control of Chaos in Networks with Delay: A Model for Synchronization of Cortical Tissue.
1141-1154
- Peter Manolios, Robert Fanelli:
First-Order Recurrent Neural Networks and Deterministic Finite State Automata.
1155-1173
- Lawrence K. Saul, Michael I. Jordan:
Learning in Boltzmann Trees.
1174-1184
- Tommi Jaakkola, Michael I. Jordan, Satinder P. Singh:
On the Convergence of Stochastic Iterative Dynamic Programming Algorithms.
1185-1201
- R. S. Shadafan, M. Niranjan:
A Dynamic Neural Network Architecture by Sequential Partitioning of the Input Space.
1202-1222
- Lars Kai Hansen, Carl Edward Rasmussen:
Pruning from Adaptive Regularization.
1223-1232
- Yoshifusa Ito:
Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers.
1233-1243
- Motoaki Kawanabe, Shun-ichi Amari:
Estimation of Network Parameters in Semiparametric Stochastic Perceptron.
1244-1261
- Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer:
Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives.
1262-1275
- Yong Liu:
Influence Function Analysis of PCA and BCM Learning.
1276-1288
- Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik:
Boosting and Other Ensemble Methods.
1289-1301
Copyright © Mon Nov 2 21:49:08 2009
by Michael Ley (ley@uni-trier.de)