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ORCIDNeural Computation, Volume 11
Volume 11, Number 1, January 1999
- Catherine E. Carr, Matthew A. Friedman:
Evolution of Time Coding Systems. 1-20
- Steven W. Zucker, Douglas Miller:
Computing With Self-Excitatory Cliques: A Model and an Application to Hyperacuity-Scale Computation in Visual Cortex. 21-66
- Corrado Bernasconi, Kaspar Schindler
, Ruedi Stoop, Rodney J. Douglas:
Complex Response to Periodic Inhibition In Simple and Detailed Neuronal Models. 67-74 - Kechen Zhang, Terrence J. Sejnowski:
Neuronal tuning: To Sharpen or Broaden? 75-84 - Alexandre Pouget, Sophie Denève, Jean-Christophe Ducom, Peter E. Latham:
Narrow vs Wide Tuning Curves: What's Best for a Population Code? 85-90
- L. F. Abbott, Peter Dayan:
The Effect of Correlated Variability on the Accuracy of a Population Code. 91-101 - Dean V. Buonomano, Michael Merzenich:
A Neural Network Modell of Temporal Code Generation and Position Invariant Pattern Recognition. 103-116 - Bruce Graham, David J. Willshaw:
Probabilistic Synaptic Transmission in the Associative Net. 117-137 - Thore Graepel, Klaus Obermayer:
A Stochastic Self-Organizing Map for Proximity Data. 139-155 - Jean-François Cardoso:
High-Order Constrasts for Independent Component Analysis. 157-192 - Brendan J. Frey, Geoffrey E. Hinton:
Variational Learning in Nonlinear Gaussian Belief Networks. 193-213 - Eric B. Baum, Warren D. Smith:
Propagating Distributions Up Directed Acyclic Graphs. 215-227 - Alex Pentland, Andrew Liu:
Modeling and Prediction of Human Behavior. 229-242 - Timothy K. Horiuchi, Christof Koch:
Analog VLSI-Based Modeling of the Primate Oculomotor System. 243-265 - John Lazzaro, John Wawrzynek:
JPEG Quality Transcoding Using Neural Networks Trained With a Perceptual Error Measure. 267-296
Volume 11, Number 2, February 1999
- Sam T. Roweis, Zoubin Ghahramani:
A Unifying Review of Linear Gaussian Models. 305-345
- Suzanna Becker:
Implicit Learning in 3D Object Recognition: The Importance of Temporal Context. 347-374
- Udo Ernst, Klaus Pawelzik, Misha Tsodyks, Terrence J. Sejnowski:
Relation Between Retinotopical and Orientation Maps in Visual Cortex. 375-379
- Florentin Wörgötter, Alex Cozzi, V. Gerdes:
A Parallel Noise-Robust Algorithm to Recover Depth Information From Radial Flow Fields. 381-416 - Te-Won Lee, Mark A. Girolami, Terrence J. Sejnowski:
Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Sub-Gaussian and Super-Gaussian Sources. 417-441 - Michael E. Tipping, Christopher M. Bishop:
Mixtures of Probabilistic Principal Component Analysers. 443-482 - Ran Avnimelech, Nathan Intrator:
Boosted Mixture Of Experts: An Ensemble Learning Scheme. 483-497 - Ran Avnimelech, Nathan Intrator:
Boosting Regression Estimators. 499-520 - Isaac David Guedalia, Mickey London, Michael Werman:
An On-line Agglomerative Clustering Method for Non-Stationary Data. 521-540 - Anders Krogh, Søren Kamaric Riis:
Hidden Neural Networks. 541-563
Volume 11, Number 3, April 1999
- Andrew G. Barto, Andrew H. Fagg, Nathan Sitkoff, James C. Houk:
A Cerebellar Model of Timing and Prediction in the Control of Reaching. 565-594
- Lluís Garrido, Sergio Gómez, Jaume Roca:
Improved Multidimensional Scaling Analysis Using Neural Networks with Distance-Error Backpropagation. 595-600
- Alessandro Treves, Stefano Panzeri, Edmund T. Rolls, Michael Booth, Edward A. Wakeman:
Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli. 601-631 - Stefano Fusi, Maurizio Mattia:
Collective Behavior of Networks with Linear (VLSI) Integrate-and-Fire Neurons. 633-652 - Peter Dayan:
Recurrent Sampling Models for the Helmholtz Machine. 653-677 - Sepp Hochreiter, Jürgen Schmidhuber:
Feature Extraction Through LOCOCODE. 679-714 - Ricard Gavaldà, Hava T. Siegelmann:
Discontinuities in Recurrent Neural Networks. 715-745 - Terrence Fine, Sayandev Mukherjee:
Parameter Convergence and Learning Curves for Neural Networks. 747-769 - Wolfgang Maass, Eduardo D. Sontag:
Analog Neural Nets with Gaussian or Other Common Noise Distribution Cannot Recognize Arbitrary Regular Languages. 771-782 - Randal A. Koene, Yoshio Takane:
Discriminant Component Pruning: Regularization and Interpretation of Multi-Layered Back-Propagation Networks. 783-802
Volume 11, Number 4, May 1999
- Hagai Attias:
Independent Factor Analysis. 803-851
- Nicol N. Schraudolph:
A Fast, Compact Approximation of the Exponential Function. 853-862 - Isabelle Rivals, Léon Personnaz:
On Cross Validation for Model Selection. 863-870
- Anthony N. Burkitt, Graeme M. Clark:
Analysis of Integrate-and-Fire Neurons: Synchronization of Synaptic Input and Spike Output. 871-901 - Wolfgang Maass, Anthony M. Zador:
Dynamic Stochastic Synapses as Computational Units. 903-917 - Gustavo Deco, Bernd Schürmann:
Spatiotemporal Coding in the Cortex: Information Flow-Based Learning in Spiking Neural Networks. 919-934 - Shigeru Shinomoto, Yutaka Sakai, Shintaro Funahashi:
The Ornstein-Uhlenbeck Process Does Not Reproduce Spiking Statistics of Neurons in Prefrontal Cortex. 935-951 - Erol Gelenbe, Jean-Michel Fourneau:
Random Neural Networks with Multiple Classes of Signals. 953-963 - John Sum, Andrew Chi-Sing Leung, Gilbert H. Young, Lai-Wan Chan, Wing-Kay Kan:
An Adaptive Bayesian Pruning for Neural Networks in a Non-Stationary Environment. 965-976 - Piërre van de Laar, Tom Heskes:
Pruning Using Parameter and Neuronal Metrics. 977-993 - Zehra Cataltepe, Yaser S. Abu-Mostafa, Malik Magdon-Ismail:
No Free Lunch for Early Stopping. 995-1009 - Jayanta Basak, Shun-ichi Amari:
Blind Separation of a Mixture of Uniformly Distributed Source Signals: A Novel Approach. 1011-1034
Volume 11, Number 5, July 1999
- David J. C. MacKay:
Comparison of Approximate Methods for Handling Hyperparameters. 1035-1068
- Danilo P. Mandic, Jonathon A. Chambers:
Relating the Slope of the Activation Function and the Learning Rate Within a Recurrent Neural Network. 1069-1077
- Jorge Golowasch, Michael Casey, L. F. Abbott, Eve Marder:
Network Stability from Activity-Dependent Regulation of Neuronal Conductances. 1079-1096 - Peter N. Steinmetz, Raimond L. Winslow:
Optimal Detection of Flash Intensity Differences Using Rod Photocurrent Observations. 1097-1111 - Paul F. M. J. Verschure, Peter König:
On the Role of Biophysical Properties of Cortical Neurons in Binding and Segmentation of Visual Scenes. 1113-1138 - Michael A. Kisley, George L. Gerstein:
The Continuum of Operating Modes for a Passive Model Neuron. 1139-1154 - Matthew Brand:
Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction. 1155-1182 - Wenxin Jiang, Martin A. Tanner:
On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models. 1183-1198 - Samy Bengio, Yoshua Bengio, Jacques Robert, Gilles Bélanger:
Stochastic Learning of Strategic Equilibria for Auctions. 1199-1209 - Karin Haese:
Kalman Filter Implementation of Self-Organizing Feature Maps. 1211-1233 - Wei Wei, Todd K. Leen, Etienne Barnard:
A Fast Histogram-Based Postprocessor That Improves Posterior Probability Estimates. 1235-1248 - Don R. Hush:
Training a Sigmoidal Node Is Hard. 1249-1260
Volume 11, Number 6, August 1999
- Sidney R. Lehky, Terrence J. Sejnowski:
Seeing White: Qualia in the Context of Decoding Population Codes. 1261-1280
- Marco Budinich, Renato Frison:
Adaptive Calibration of Imaging Array Detectors. 1281-1296
- Ione Fine, Robert A. Jacobs:
Modeling the Combination of Motion, Stereo, and Vergence Angle Cues to Visual Depth. 1297-1330 - Florin Cutzu, Michael J. Tarr:
Inferring Perceptual Saliency Fields from Viewpoint-Dependent Recognition Data. 1331-1348 - Alfonso Renart, Néstor Parga, Edmund T. Rolls:
Backward Projections in the Cerebral Cortex: Implications for Memory Storage. 1349-1388 - D. Chawla, Erik D. Lumer, Karl J. Friston:
The Relationship Between Synchronization Among Neuronal Populations and Their Mean Activity Levels. 1389-1411 - Michele Giugliano, Marco Bove, Massimo Grattarola:
Fast Calculation of Short-Term Depressing Synaptic Conductances. 1413-1426 - Michael J. Kearns, Dana Ron:
Algorithmic Stability and Sanity-Check Bounds for Leave-One-Out Cross-Validation. 1427-1453 - Anand Rangarajan, Alan L. Yuille, Eric Mjolsness:
Convergence Properties of the Softassign Quadratic Assignment Algorithm. 1455-1474 - Koji Okuhara, Shunji Osaki, Masaaki Kijima:
Learning to Design Synergetic Computers with an Extended Symmetric Diffusion Network. 1475-1491
Volume 11, Number 7, October 1999
- Leo Breiman:
Prediction Games and Arcing Algorithms. 1493-1517
- Graeme J. Mitchison, Nicholas V. Swindale:
Can Hebbian Volume Learning Explain Discontinuities in Cortical Maps? 1519-1526 - Carlos D. Brody:
Disambiguating Different Covariation Types. 1527-1535
- Carlos D. Brody:
Correlations Without Synchrony. 1537-1551 - Stefano Panzeri, Alessandro Treves, Simon R. Schultz, Edmund T. Rolls:
On Decoding the Responses of a Population of Neurons from Short Time Windows. 1553-1577 - Werner M. Kistler, J. Leo van Hemmen:
Short-Term Synaptic Plasticity and Network Behavior. 1579-1594 - Shannon R. Campbell, DeLiang L. Wang, Ciriyam Jayaprakash:
Synchrony and Desynchrony in Integrate-and-Fire Oscillators. 1595-1619 - Nicolas Brunel, Vincent Hakim:
Fast Global Oscillations in Networks of Integrate-and-Fire Neurons with Low Firing Rates. 1621-1671 - Thomas A. Cleland, Christiane Linster:
Concentration Tuning Mediated by Spare Receptor Capacity in Olfactory Sensory Neurons: A Theoretical Study. 1673-1690 - Yali Amit, Donald Geman:
A Computational Model for Visual Selection. 1691-1715 - Nir Levy, David Horn, Eytan Ruppin:
Associative Memory in a Multimodular Network. 1717-1737 - Aapo Hyvärinen:
Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation. 1739-1768 - George D. Magoulas, Michael N. Vrahatis, George S. Androulakis:
Improving the Convergence of the Backpropagation Algorithm Using Learning Rate Adaptation Methods. 1769-1796
Volume 11, Number 8, November 1999
- Amit Manwani, Christof Koch:
Detecting and Estimating Signals in Noisy Cable Structures, I: Neuronal Noise Sources. 1797-1829 - Amit Manwani, Christof Koch:
Detecting and Estimating Signals in Noisy Cable Structures, II: Information Theoretical Analysis. 1831-1873
- Shun-ichi Amari:
Natural Gradient Learning for Over- and Under-Complete Bases in ICA. 1875-1883 - Ethem Alpaydin:
Combined 5 x 2 cv F Test for Comparing Supervised Classification Learning Algorithms. 1885-1892
- Jonghan Shin, Christof Koch, Rodney J. Douglas:
Adaptive Neural Coding Dependent on the Time-Varying Statistics of the Somatic Input Current. 1893-1913 - Aristidis Likas:
A Reinforcement Learning Approach to Online Clustering. 1915-1932 - Marcello Pelillo:
Replicator Equations, Maximal Cliques, and Graph Isomorphism. 1933-1955 - Richard M. Everson, Stephen J. Roberts:
Independent Component Analysis: A Flexible Nonlinearity and Decorrelating Manifold Approach. 1957-1983 - Jooyoung Park, Hyuk Cho, Daihee Park:
On the Design of BSB Neural Associative Memories Using Semidefinite Programming. 1985-1994 - Edward Kei Shiu Ho, Lai-Wan Chan:
How to Design a Connectionist Holistic Parser. 1995-2016 - Csaba Szepesvári, Michael L. Littman:
A Unified Analysis of Value-Function-Based Reinforcement Learning Algorithms. 2017-2060 - Gal Chechik, Isaac Meilijson, Eytan Ruppin:
Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation. 2061-2080 - Teuvo Kohonen:
Comparison of SOM Point Densities Based on Different Criteria. 2081-2095
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