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ORCIDNeural Computation, Volume 8
Volume 8, Number 1, January 1996
- Wolfgang Maass:
Lower Bounds for the Computational Power of Networks of Spiking Neurons. 1-40 - Raúl Rojas:
A Short Proof of the Posterior Probability Property of Classifier Neural Networks. 41-43 - Fabrizio Gabbiani, Christof Koch:
Coding of Time-Varying Signals in Spike Trains of Integrate-and-Fire Neurons with Random Threshold. 44-66 - D. A. August, William B. Levy:
A simple spike train decoder inspired by the sampling theorem. 67-84 - K. I. Blum, L. F. Abbott:
A model of spatial map formation in the hippocampus of the rat. 85-93 - Christiane Linster, Claudine Masson:
A Neural Model of Olfactory Sensory Memory in the Honeybee's Antennal Lobe. 94-114 - Rick L. Jenison
, Kate Fissell:
A Spherical Basis Function Neural Network for Modeling Auditory Space. 115-128 - Lei Xu, Michael I. Jordan:
On Convergence Properties of the EM Algorithm for Gaussian Mixtures. 129-151 - Robert Tibshirani:
A Comparison of Some Error Estimates for Neural Network Models. 152-163 - Hrushikesh N. Mhaskar:
Neural Networks for Optimal Approximation of Smooth and Analytic Functions. 164-177 - David J. C. MacKay:
Equivalence of Linear Boltzmann Chains and Hidden Markov Models. 178-181 - Eric A. Wan, Françoise Beaufays:
Diagrammatic Derivation of Gradient Algorithms for Neural Networks. 182-201 - David Barber, David Saad:
Does Extra Knowledge Necessarily Improve Generalization? 202-214
Volume 8, Number 2, February 1996
- André Longtin, Karin Hinzer:
Encoding with bursting, subthreshold oscillations, and noise in mammalian cold receptors. 215-255 - Ronald Michaels:
Associative Memory with Uncorrelated Inputs. 256-259 - Lucas C. Parra, Gustavo Deco, Stefan Miesbach:
Statistical Independence and Novelty Detection with Information Preserving Nonlinear Maps. 260-269 - Germán Mato, Haim Sompolinsky:
Neural network models of perceptual learning of angle discrimination. 270-299 - Karl Frederick Arrington:
Directional Filling-in. 300-318 - Wei-Ping Wang:
Binary-oscillator networks: bridging a gap between experimental and abstract modeling of neural networks. 319-339 - Klaus Pawelzik, Jens Kohlmorgen, Klaus-Robert Müller:
Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics. 340-356 - Vassilios Petridis, Athanasios Kehagias:
A Recurrent Network Implementation of Time Series Classification. 357-372 - David Horn, Irit Opher:
Temporal segmentation in a neural dynamic system. 373-389 - Michael J. Kirby, Rick Miranda:
Circular nodes in neural networks. 390-402 - Pekka Orponen:
The Computational Power of Discrete Hopfield Nets with Hidden Units. 403-415 - Marco Budinich:
A self-organizing neural network for the traveling salesman problem that is competitive with simulated annealing. 416-424 - David J. Miller, Kenneth Rose:
Hierarchical, Unsupervised Learning with Growing via Phase Transitions. 425-450 - Georg Thimm, Perry Moerland, Emile Fiesler:
The interchangeability of learning rate and gain in backpropagation neural networks. 451-460
Volume 8, Number 3, April 1996
- Lizhong Wu, John E. Moody:
A Smoothing Regularizer for Feedforward and Recurrent Neural Networks. 461-489 - J. P. F. Sum, Peter Kwong-Shun Tam:
Note on the Maxnet Dynamics. 491-499 - William W. Lytton:
Optimizing synaptic conductance calculation for network simulations. 501-509 - Herman P. Snippe:
Parameter extraction from population codes: a critical assessment. 511-529 - William B. Levy, Rohan A. Baxter:
Energy efficient neural codes. 531-543 - C. W. Lee, Bruno A. Olshausen:
A nonlinear Hebbian network that learns to detect disparity in random- dot stereograms. 545-566 - Nicholas G. Hatsopoulos:
Coupling the neural and physical dynamics in rhythmic movements. 567-581 - Mikko Lehtokangas, Jukka Saarinen, Pentti Huuhtanen, Kimmo Kaski:
Predictive minimum description length criterion for time series modeling with neural networks. 583-593 - Richard Rohwer, John C. Van der Rest:
Minimum Description Length, Regularization, and Multimodal Data. 595-609 - Anthony M. Zador, Barak A. Pearlmutter:
VC Dimension of an Integrate-and-Fire Neuron Model. 611-624 - Peter L. Bartlett, Robert C. Williamson:
The VC Dimension and Pseudodimension of Two-Layer Neural Networks with Discrete Inputs. 625-628 - Richard Rohwer, Michal Morciniec:
A Theoretical and Experimental Account of n-Tuple Classifier Performance. 629-642 - Guozhong An:
The Effects of Adding Noise During Backpropagation Training on a Generalization Performance. 643-674
Volume 8, Number 4, May 1996
- Christian W. Omlin, C. Lee Giles:
Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants. 675-696 - Inman Harvey, James V. Stone:
Unicycling Helps Your French: Spontaneous Recovery of Associations by Learning Unrelated Tasks. 697-704 - Zhaoping Li:
A theory of the visual motion coding in the primary visual cortex. 705-730 - Yinong Chen, James A. Reggia:
Alignment of coexisting cortical maps in a motor control model. 731-755 - Hans-Ulrich Bauer, Ralf Der, Michael Herrmann:
Controlling the Magnification Factor of Self-Organizing Feature Maps. 757-771 - Jürgen Schmidhuber, Martin Eldracher, Bernhard Foltin:
Semilinear Predictability Minimization Produces Well-Known Feature Detectors. 773-786 - Steven Gold, Anand Rangarajan, Eric Mjolsness:
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. 787-804 - Bhaskar DasGupta, Georg Schnitger:
Analog versus discrete neural networks. 805-818 - Partha Niyogi, Federico Girosi:
On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions. 819-842 - Peter M. Williams:
Using neural networks to model conditional multivariate densities. 843-854 - Christophe Molina, Mahesan Niranjan:
Pruning with Replacement on Limited Resource Allocating Networks by F-Projections. 855-868 - Derek Partridge, William B. Yates:
Engineering multiversion neural-net systems. 869-893
Volume 8, Number 5, July 1996
- Randall C. O'Reilly:
Biologically Plausible Error-Driven Learning Using Local Activation Differences: The Generalized Recirculation Algorithm. 895-938 - Günhan Dündar, F.-C. Hsu, K. Rose:
Effects of Nonlinear Synapses on the Performance of Multilayer Neural Networks. 939-949 - Teresa Ree Chay:
Modeling Slowly Bursting Neurons via Calcium Store and Voltage-Independent Calcium Current. 951-978 - Bard Ermentrout:
Type I Membranes, Phase Resetting Curves, and Synchrony. 979-1001 - Jianfeng Feng, Hong Pan, Vwani P. Roychowdhury:
On Neurodynamics with Limiter Function and Linsker's Developmental Model. 1003-1019 - Harel Z. Shouval, Nathan Intrator, C. Charles Law, Leon N. Cooper:
Effect of Binocular Cortical Misalignment on Ocular Dominance and Orientation Selectivity. 1021-1040 - Anand Rangarajan, Steven Gold, Eric Mjolsness:
A Novel Optimizing Network Architecture with Applications. 1041-1060 - Kiichi Urahama:
Gradient Projection Network: Analog Solver for Linearly Constrained Nonlinear Programming. 1061-1073 - Sayandev Mukherjee, Terrence L. Fine:
Online Steepest Descent Yields Weights with Nonnormal Limiting Distribution. 1075-1084 - Klaus-Robert Müller, Michael Finke, Noboru Murata, Klaus Schulten, Shun-ichi Amari:
A Numerical Study on Learning Curves in Stochastic Multilayer Feedforward Networks. 1085-1106 - Dharmendra S. Modha, Elias Masry:
Rate of Convergence in Density Estimation Using Neural Networks. 1107-1122 - Christopher M. Bishop, Ian T. Nabney:
Modeling Conditional Probability Distributions for Periodic Variables. 1123-1133
Volume 8, Number 6, August 1996
- Mike Casey:
The Dynamics of Discrete-Time Computation, with Application to Recurrent Neural Networks and Finite State Machine Extraction. 1135-1178 - Janet Wiles, Paul Bakker, Adam Lynton, Michael Norris, Sean Parkinson, Mark Staples, Alan Whiteside:
Using Bottlenecks in Feedforward Networks as a Dimension Reduction Technique: An Application to Optimization Tasks. 1179-1183 - Wyeth Bair, Christof Koch:
Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey. 1185-1202 - James R. Williamson:
Neural Network for Dynamic Binding with Graph Representation: Form, Linking, and Depth-from-Occlusion. 1203-1225 - David Horn, Nir Levy, Eytan Ruppin:
Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease. 1227-1243 - David P. M. Northmore, John G. Elias:
Spike Train Processing by a Silicon Neuromorph: The Role of Sublinear Summation in Dendrites. 1245-1265 - Robert Urbanczik:
A Large Committee Machine Learning Noisy Rules. 1267-1276 - Arne Hole:
Vapnik-Chervonenkis Generalization Bounds for Real Valued Neural Networks. 1277-1299 - Ida G. Sprinkhuizen-Kuyper, Egbert J. W. Boers:
The Error Surface of the Simplest XOR Network Has Only Global Minima. 1301-1320 - Joseph J. Atick, Paul A. Griffin, A. Norman Redlich:
Statistical Approach to Shape from Shading: Reconstruction of Three-Dimensional Face Surfaces from Single Two-Dimensional Images. 1321-1340
Volume 8, Number 7, October 1996
- David H. Wolpert:
The Lack of A Priori Distinctions Between Learning Algorithms. 1341-1390 - David H. Wolpert:
The Existence of A Priori Distinctions Between Learning Algorithms. 1391-1420 - Huaiyu Zhu, Richard Rohwer:
No Free Lunch for Cross-Validation. 1421-1426 - Harry G. Barrow, Alistair J. Bray, Julian M. L. Budd:
A Self-Organizing Model of "Color Blob" Formation. 1427-1448 - Markus Lappe:
Functional Consequences of an Integration of Motion and Stereopsis in Area MT of Monkey Extrastriate Visual Cortex. 1449-1461 - James V. Stone:
Learning Perceptually Salient Visual Parameters Using Spatiotemporal Smoothness Constraints. 1463-1492 - Ralf Opara, Florentin Wörgötter:
Using Visual Latencies to Improve Image Segmentation. 1493-1520 - Enno Littmann, Helge J. Ritter:
Learning and Generalization in Cascade Network Architectures. 1521-1539 - Pierre Baldi, Yves Chauvin:
Hybrid Modeling, HMM/NN Architectures, and Protein Applications. 1541-1565
Volume 8, Number 8, November 1996
- Henry D. I. Abarbanel, Ramón Huerta, Mikhail I. Rabinovich, Nikolai F. Rulkov, Peter F. Rowat, Allen I. Selverston:
Synchronized Action of Synaptically Coupled Chaotic Model Neurons. 1567-1602 - Maryhelen Stevenson, Shaheedul Huq:
On the Capacity of Threshold Adalines with Limited-Precision Weights. 1603-1610 - Yu-Dong Zhu, Ning Qian:
Binocular Receptive Field Models, Disparity Tuning, and Characteristic Disparity. 1611-1641 - Bo Cartling:
Response Characteristics of a Low-Dimensional Model Neuron. 1643-1652 - Wulfram Gerstner, J. Leo van Hemmen, Jack D. Cowan:
What Matters in Neuronal Locking? 1653-1676 - Nicolas Brunel:
Hebbian Learning of Context in Recurrent Neural Networks. 1677-1710 - Joshua Chover:
Neural Correlation via Random Connections. 1711-1729 - Anke Meyer-Bäse, Frank W. Ohl, Henning Scheich:
Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales. 1731-1742 - Wim Wiegerinck, Tom Heskes:
How Dependencies between Successive Examples Affect On-Line Learning. 1743-1765 - François Michaud, Rubén González-Rubio:
Autonomous Design of Artificial Neural Networks by Neurex. 1767-1786
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