Journal: Neural Computation

Volume 6, Issue 6

1031 -- 1085Bartlett W. Mel. Information Processing in Dendritic Trees
1086 -- 1110Paul A. Rhodes, Charles M. Gray. Simulations of Intrinsically Bursting Neocortical Pyramidal Neurons
1111 -- 1126Venkatesh N. Murthy, Eberhard E. Fetz. Effects of Input Synchrony on the Firing Rate of a Three-Conductance Cortical Neuron Model
1127 -- 1140Ying-Cheng Lai, Raimond L. Winslow, Murray B. Sachs. The Functional Role of Excitatory and Inhibitory Interactions in Chopper Cells of the Anteroventral Cochlear Nucleus
1141 -- 1154Carlos Lourenço, Agnessa Babloyantz. Control of Chaos in Networks with Delay: A Model for Synchronization of Cortical Tissue
1155 -- 1173Peter Manolios, Robert Fanelli. First-Order Recurrent Neural Networks and Deterministic Finite State Automata
1174 -- 1184Lawrence K. Saul, Michael I. Jordan. Learning in Boltzmann Trees
1185 -- 1201Tommi Jaakkola, Michael I. Jordan, Satinder P. Singh. On the Convergence of Stochastic Iterative Dynamic Programming Algorithms
1202 -- 1222R. S. Shadafan, M. Niranjan. A Dynamic Neural Network Architecture by Sequential Partitioning of the Input Space
1223 -- 1232Lars Kai Hansen, Carl Edward Rasmussen. Pruning from Adaptive Regularization
1233 -- 1243Yoshifusa Ito. Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers
1244 -- 1261Motoaki Kawanabe, Shun-ichi Amari. Estimation of Network Parameters in Semiparametric Stochastic Perceptron
1262 -- 1275Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer. Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives
1276 -- 1288Yong Liu. Influence Function Analysis of PCA and BCM Learning
1289 -- 1301Harris Drucker, Corinna Cortes, Lawrence D. Jackel, Yann LeCun, Vladimir Vapnik. Boosting and Other Ensemble Methods

Volume 6, Issue 5

795 -- 836Marius Usher, Martin Stemmler, Christof Koch, Zeev Olami. Network Amplification of Local Fluctuations Causes High Spike Rate Variability, Fractal Firing Patterns and Oscillatory Local Field Potentials
837 -- 841Alan M. N. Fu. Statistical Analysis of an Autoassociative Memory Network
842 -- 850Jirí Síma. Loading Deep Networks Is Hard
851 -- 876Vladimir Vapnik, Esther Levin, Yann LeCun. Measuring the VC-Dimension of a Learning Machine
877 -- 884Wolfgang Maass. Neural Nets with Superlinear VC-Dimension
885 -- 901Jihong Lee. A Novel Design Method for Multilayer Feedforward Neural Networks
902 -- 915Jean-Dominique Gascuel, Bahram Moobed, Michel Weinfeld. An Internal Mechanism for Detecting Parasite Attractors in a Hopfield Network
916 -- 926Thorsteinn Rögnvaldsson. On Langevin Updating in Multilayer Perceptrons
927 -- 943Hossam Osman, Moustafa M. Fahmy. Probabilistic Winner-Take-All Learning Algorithm for Radial-Basis-Function Neural Classifiers
944 -- 956T. Matsumoto, K. Kondo. Realization of the "Weak Rod" by a Double Layer Parallel Network
957 -- 982Daniel J. Amit, Stefano Fusi. Learning in Neural Networks with Material Synapses
983 -- 1004Pierre-Yves Burgi, Norberto M. Grzywacz. Model Based on Extracellular Potassium for Spontaneous Synchronous Activity in Developing Retinas
1005 -- 1030Michael S. Lewicki. Bayesian Modeling and Classification of Neural Signals

Volume 6, Issue 4

559 -- 601David J. Field. What Is the Goal of Sensory Coding?
602 -- 614Ernst Niebur, Florentin Wörgötter. Design Principles of Columnar Organization in Visual Cortex
615 -- 621Geoffrey J. Goodhill, David J. Willshaw. Elastic Net Model of Ocular Dominance: Overall Stripe Pattern and Monocular Deprivation
622 -- 641Öjvind Bernander, Christof Koch, Marius Usher. The Effect of Synchronized Inputs at the Single Neuron Level
642 -- 657Haim Sompolinsky, Michail Tsodyks. Segmentation by a Network of Oscillators with Stored Memories
658 -- 667Yukio Hayashi. Numerical Bifurcation Analysis of an Oscillatory Neural Network with Synchronous/Asynchronous Connections
668 -- 678J. Devin McAuley, Joseph Stampfli. Analysis of the Effects of Noise on a Model for the Neural Mechanism of Short-Term Active Memory
679 -- 695Bard Ermentrout. Reduction of Conductance-Based Models with Slow Synapses to Neural Nets
696 -- 717Kenji Doya, Allen I. Selverston. Dimension Reduction of Biological Neuron Models by Artificial Neural Networks
718 -- 738Gary M. Scott, W. Harmon Ray. Neural Network Process Models Based on Linear Model Structures
739 -- 747Juha Karhunen. Stability of Oja s PCA Subspace Rule
748 -- 760Man-Fung Cheung, Kevin M. Passino, Stephen Yurkovich. Supervised Training of Neural Networks via Ellipsoid Algorithms
761 -- 766N. Scott Cardell, Wayne H. Joerding, Ying Li. Why Some Feedforward Networks Cannot Learn Some Polynomials

Volume 6, Issue 3

341 -- 356Alan L. Yuille, J. J. Kosowsky. Statistical Physics Algorithms That Converge
357 -- 389Randall C. O Reilly, Mark H. Johnson. Object Recognition and Sensitive Periods: A Computational Analysis of Visual Imprinting
390 -- 404Ning Qian. Computing Stereo Disparity and Motion with Known Binocular Cell Properties
405 -- 419Edwin E. Munro, Larry E. Shupe, Eberhard E. Fetz. Integration and Differentiation in Dynamic Recurrent Neural Networks
420 -- 440Chung-Ming Kuan, Kurt Hornik, Halbert White. A Convergence Result for Learning in Recurrent Neural Networks
441 -- 458Csaba Szepesvári, László Balázs, András Lörincz. Topology Learning Solved by Extended Objects: A Neural Network Model
459 -- 468Pascal Koiran. Dynamics of Discrete Time, Continuous State Hopfield Networks
469 -- 490K. P. Unnikrishnan, Kootala P. Venugopal. Alopex: A Correlation-Based Learning Algorithm for Feedforward and Recurrent Neural Networks
491 -- 508Jean-Pierre Nadal, Néstor Parga. Duality Between Learning Machines: A Bridge Between Supervised and Unsupervised Learning
509 -- 520Hong Pi, Carsten Peterson. Finding the Embedding Dimension and Variable Dependencies in Time Series
521 -- 542Dimitry Gorinevsky, Thomas H. Connolly. Comparison of Some Neural Network and Scattered Data Approximations: The Inverse Manipulator Kinematics Example
543 -- 558Vera Kurková, Paul C. Kainen. Functionally Equivalent Feedforward Neural Networks

Volume 6, Issue 2

181 -- 214Michael I. Jordan, Robert A. Jacobs. Hierarchical Mixtures of Experts and the EM Algorithm
215 -- 219Gerald Tesauro. TD-Gammon, a Self-Teaching Backgammon Program, Achieves Master-Level Play
225 -- 241Bard Ermentrout, Nancy Kopell. Learning of Phase Lags in Coupled Neural Oscillators
242 -- 254Mark E. Nelson. A Mechanism for Neuronal Gain Control by Descending Pathways
255 -- 269Geoffrey J. Goodhill, Harry G. Barrow. The Role of Weight Normalization in Competitive Learning
270 -- 284Stephen J. Roberts, Lionel Tarassenko. A Probabilistic Resource Allocating Network for Novelty Detection
285 -- 295William Finnoff. Diffusion Approximations for the Constant Learning Rate Backpropagation Algorithm and Resistance to Local Minima
296 -- 306Françoise Beaufays, Eric A. Wan. Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity
307 -- 318Pierre Baldi, Yves Chauvin. Smooth On-Line Learning Algorithms for Hidden Markov Models
319 -- 333Michel Benaïm. On Functional Approximation with Normalized Gaussian Units
334 -- 340Alan L. Yuille, Paul E. Stolorz, Joachim Utans. Statistical Physics, Mixtures of Distributions, and the EM Algorithm

Volume 6, Issue 1

1 -- 13Granger G. Sutton III, James A. Reggia, Steven L. Armentrout, C. Lynne D Autrechy. Cortical Map Reorganization as a Competitive Process
14 -- 18Alain Destexhe, Zachary F. Mainen, Terrence J. Sejnowski. An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding
19 -- 28Alexander V. Lukashin, Apostolos P. Georgopoulos. A Neural Network for Coding of Trajectories by Time Series of Neuronal Population Vectors
29 -- 37Terence D. Sanger. Theoretical Considerations for the Analysis of Population Coding in Motor Cortex
38 -- 55Dean V. Buonomano, Michael D. Mauk. Neural Network Model of the Cerebellum: Temporal Discrimination and the Timing of Motor Responses
56 -- 68Allan Gottschalk, Malcolm D. Ogilvie, Diethelm W. Richter, Allan I. Pack. Computational Aspects of the Respiratory Pattern Generator
69 -- 84Thomas LoFaro, Nancy Kopell, Eve Marder, Scott L. Hooper. Subharmonic Coordination in Networks of Neurons with Slow Conductances
85 -- 99Ali A. Minai, William B. Levy. Setting the Activity Level in Sparse Random Networks
100 -- 126Kenneth D. Miller, David J. C. MacKay. The Role of Constraints in Hebbian Learning
127 -- 146Zhaoping Li, Joseph J. Atick. Toward a Theory of the Striate Cortex
147 -- 160Barak A. Pearlmutter. Fast Exact Multiplication by the Hessian
161 -- 180Andrew H. Gee, Richard W. Prager. Polyhedral Combinatorics and Neural Networks