Volume 12,
Number 1,
January 2000
Articles
- Yair Weiss:
Correctness of Local Probability Propagation in Graphical Models with Loops.
1-41
- Wulfram Gerstner:
Population Dynamics of Spiking Neurons: Fast Transients, Asynchronous States, and Locking.
43-89
- Paul C. Bressloff, Stephen Coombes:
Dynamics of Strongly Coupled Spiking Neurons.
91-129
Notes
Letters
- Sander M. Bohte, H. Spekreijse, P. R. Roelfsema:
The Effects of Pair-wise and Higher-order Correlations on the Firing Rate of a Postsynaptic Neuron.
153-179
- Erik D. Lumer:
Effects of Spike Timing on Winner-Take-All Competition in Model Cortical Circuits.
181-194
- Hiroyuki Ito, Satoshi Tsuji:
Model Dependence in Quantification of Spike Interdependence by Joint Peri-Stimulus Time Histogram.
195-217
- Kenji Doya:
Reinforcement Learning in Continuous Time and Space.
219-245
Volume 12,
Number 2,
February 2000
Articles
Notes
Letters
Volume 12,
Number 3,
March 2000
Articles
- Bruce W. Knight:
Dynamics of Encoding in Neuron Populations: Some General Mathematical Features.
473-518
Notes
Letters
- Malik Magdon-Ismail:
No Free Lunch for Noise Prediction.
547-564
- Chris J. S. Webber:
Self-Organization of Symmetry Networks: Transformation Invariance from the Spontaneous Symmetry-Breaking Mechanism.
565-596
- Jonathan E. Rubin, David Terman:
Geometric Analysis of Population Rhythms in Synaptically Coupled Neuronal Networks.
597-645
- Quentin Pauluis, Stuart N. Baker:
An Accurate Measure of the Instantaneous Discharge Probability, with Application to Unitary Joint-Event Analysis.
647-669
- Jianfeng Feng, David Brown:
Impact of Correlated Inputs on the Output of the Integrate-and-Fire Model.
671-692
- David M. Halliday:
Weak, Stochastic Temporal Correlation of Large-Scale Synaptic Input Is a Major Determinant of Neuronal Bandwidth.
693-707
- Kazumi Saito, Ryohei Nakano:
Second-Order Learning Algorithm with Squared Penalty Term.
709-729
Volume 12,
Number 4,
April 2000
Articles
Notes
Letters
Volume 12,
Number 5,
May 2000
Reviews
Articles
Notes
Letters
- Peter Roper, Paul C. Bressloff, André Longtin:
A Phase Model of Temperature-Dependent Mammalian Cold Receptors.
1067-1093
- David Golomb, David Hansel:
The Number of Synaptic Inputs and the Synchrony of Large, Sparse Neuronal Networks.
1095-1139
- Yali Amit:
A Neural Network Architecture for Visual Selection.
1141-1164
- Thomas J. Anastasio, Paul E. Patton, Kamel Belkacem-Boussaid:
Using Bayes' Rule to Model Multisensory Enhancement in the Superior Colliculus.
1165-1187
- Panayiota Poirazi, Bartlett W. Mel:
Choice and Value Flexibility Jointly Contribute to the Capacity of a Subsampled Quadratic Classifier.
1189-1205
- Bernhard Schölkopf, Alex J. Smola, Robert C. Williamson, Peter L. Bartlett:
New Support Vector Algorithms.
1207-1245
Volume 12,
Number 6,
June 2000
Articles
Notes
Letters
- Lawrence K. Saul, Michael I. Jordan:
Attractor Dynamics in Feedforward Neural Networks.
1313-1335
- Tony Plate, Joel Bert, John Grace, Pierre Band:
Visualizing the Function Computed by a Feedforward Neural Network.
1337-1353
- Diego Sona, Alessandro Sperduti, Antonina Starita:
Discriminant Pattern Recognition Using Transformation-Invariant Neurons.
1355-1370
- Herbert Jaeger:
Observable Operator Models for Discrete Stochastic Time Series.
1371-1398
- Shun-ichi Amari, Hyeyoung Park, Kenji Fukumizu:
Adaptive Method of Realizing Natural Gradient Learning for Multilayer Perceptrons.
1399-1409
- Shotaro Akaho, Hilbert J. Kappen:
Nonmonotonic Generalization Bias of Gaussian Mixture Models.
1411-1427
- Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal:
Efficient Block Training of Multilayer Perceptrons.
1429-1447
- Jooyoung Park, Yonmook Park:
An Optimization Approach to Design of Generalized BSB Neural Associative Memories.
1449-1462
- Shun-ichi Amari, Tianping Chen, Andrzej Cichocki:
Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation.
1463-1484
Volume 12,
Number 7,
July 2000
Articles
Notes
Letters
- Naama Brenner, Steven P. Strong, Roland Koberle, William Bialek, Robert R. de Ruyter van Steveninck:
Synergy in a Neural Code.
1531-1552
- Elizabeth Thomas, Thierry Grisar:
Increased Synchrony with Increase of a Low-Threshold Calcium Conductance in a Model Thalamic Network: A Phase-Shift Mechanism.
1553-1571
- Jan Karbowski, Nancy Kopell:
Multispikes and Synchronization in a Large Neural Network with Temporal Delays.
1573-1606
- L. Neltner, David Hansel, Germán Mato, Claude Meunier:
Synchrony in Heterogeneous Networks of Spiking Neurons.
1607-1641
- Carson C. Chow, Nancy Kopell:
Dynamics of Spiking Neurons with Electrical Coupling.
1643-1678
- Wolfgang Maass, Thomas Natschläger:
A Model for Fast Analog Computation Based on Unreliable Synapses.
1679-1704
- Aapo Hyvärinen, Patrik O. Hoyer:
Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces.
1705-1720
- James A. Bednar, Risto Miikkulainen:
Tilt Aftereffects in a Self-Organizing Model of the Primary Visual Cortex.
1721-1740
Volume 12,
Number 8,
August 2000
Articles
Notes
Letters
- Anthony N. Burkitt, Graeme M. Clark:
Calculation of Interspike Intervals for Integrate-and-Fire Neurons with Poisson Distribution of Synaptic Inputs.
1789-1820
- Olivier François, L. M. Ould Mohamed Abdallahi, J. Horikawa, I. Taniguchi, Thierry Hervé:
Statistical Procedures for Spatiotemporal Neuronal Data with Applications to Optical Recording of the Auditory Cortex.
1821-1838
- Pierre-Yves Burgi, Alan L. Yuille, Norberto M. Grzywacz:
Probabilistic Motion Estimation Based on Temporal Coherence.
1839-1867
- Holger Schwenk, Yoshua Bengio:
Boosting Neural Networks.
1869-1887
- Yoshua Bengio:
Gradient-Based Optimization of Hyperparameters.
1889-1900
- Paolo Campolucci, Aurelio Uncini, Francesco Piazza:
A Signal-Flow-Graph Approach to On-line Gradient Calculation.
1901-1927
- Jürgen Franke II, Michael H. Neumann:
Bootstrapping Neural Networks.
1929-1949
- Toshiyuki Tanaka:
Information Geometry of Mean-Field Approximation.
1951-1968
- Xuhui Shao, Vladimir Cherkassky, William Li:
Measuring the VC-Dimension Using Optimized Experimental Design.
1969-1986
Volume 12,
Number 9,
September 2000
Articles
Notes
- Gavin C. Cawley:
On a Fast, Compact Approximation of the Exponential Function.
2009-2012
Letters
- Vladimir Vapnik, Olivier Chapelle:
Bounds on Error Expectation for Support Vector Machines.
2013-2036
- Svetlana Levitan, James A. Reggia:
A Computational Model of Lateralization and Asymmetries in Cortical Maps.
2037-2062
- Arup Roy, Peter N. Steinmetz, Ernst Niebur:
Rate Limitations of Unitary Event Analysis.
2063-2082
- Shun-ichi Amari:
Estimating Functions of Independent Component Analysis for Temporally Correlated Signals.
2083-2107
- Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton:
SMEM Algorithm for Mixture Models.
2109-2128
- Rafael C. Carrasco, Mikel L. Forcada, M. Ángeles Valdés-Muñoz, Ramón P. Ñeco:
Stable Encoding of Finite-State Machines in Discrete-Time Recurrent Neural Nets with Sigmoid Units.
2129-2174
- David J. Miller, Lian Yan:
Approximate Maximum Entropy Joint Feature Inference Consistent with Arbitrary Lower-Order Probability Constraints: Application to Statistical Classification.
2175-2207
- Shin Ishii, Hirotaka Niitsuma:
-Opt Neural Approaches to Quadratic Assignment Problems.
2209-2225
Volume 12,
Number 10,
October 2000
Articles
Notes
Letters
- Reid R. Harrison, Christof Koch:
A Silicon Implementation of the Fly's Optomotor Control System.
2291-2304
- Maurizio Mattia, Paolo Del Giudice:
Efficient Event-Driven Simulation of Large Networks of Spiking Neurons and Dynamical Synapses.
2305-2329
- Hod Lipson, Hava T. Siegelmann:
Clustering Irregular Shapes Using High-Order Neurons.
2331-2353
- Rembrandt Bakker, Jaap C. Schouten, C. Lee Giles, Floris Takens, Cor M. van den Bleek:
Learning Chaotic Attractors by Neural Networks.
2355-2383
- G. Baudat, Fatiha Anouar:
Generalized Discriminant Analysis Using a Kernel Approach.
2385-2404
- Leonardo Franco, Sergio A. Cannas:
Generalization and Selection of Examples in Feedforward Neural Networks.
2405-2426
- Adrian Trapletti, Friedrich Leisch, Kurt Hornik:
Stationary and Integrated Autoregressive Neural Network Processes.
2427-2450
- Felix A. Gers, Jürgen Schmidhuber, Fred A. Cummins:
Learning to Forget: Continual Prediction with LSTM.
2451-2471
Volume 12,
Number 11,
November 2000
Articles
Notes
Letters
- Edmund T. Rolls, T. Milward:
A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures.
2547-2572
- T. Müller, Martin Stetter, Mark Hübener, F. Sengpiel, Tobias Bonhoeffer, I. Gödecke, B. Chapman, Siegrid Löwel, Klaus Obermayer:
An Analysis of Orientation and Ocular Dominance Patterns in the Visual Cortex of Cats and Ferrets.
2573-2595
- Stuart N. Baker, George L. Gerstein:
Improvements to the Sensitivity of Gravitational Clustering for Multiple Neuron Recordings.
2597-2620
- Laura Martignon, Gustavo Deco, Kathryn B. Laskey, Mathew E. Diamond, Winrich Freiwald, Eilon Vaadia:
Neural Coding: Higher-Order Temporal Patterns in the Neurostatistics of Cell Assemblies.
2621-2653
- Manfred Opper, Ole Winther:
Gaussian Processes for Classification: Mean-Field Algorithms.
2655-2684
- Dirk Husmeier:
The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks.
2685-2717
- Volker Tresp:
A Bayesian Committee Machine.
2719-2741
Volume 12,
Number 12,
December 2001
View
- Henry C. Tuckwell:
Cortical Potential Distributions and Information Processing.
2777-2795
Articles
Notes
- Jonathan D. Victor:
Asymptotic Bias in Information Estimates and the Exponential (Bell) Polynomials.
2797-2804
Letters
- D. Chawla, Erik D. Lumer, Karl J. Friston:
Relating Macroscopic Measures of Brain Activity to Fast, Dynamic Neuronal Interactions.
2805-2821
- J. McIntyre, F. Stratta, Jacques Droulez, F. Lacquaniti:
Analysis of Pointing Errors Reveals Properties of Data Representations and Coordinate Transformations Within the Central Nervous System.
2823-2855
- Giacomo Indiveri:
Modeling Selective Attention Using a Neuromorphic Analog VLSI Device.
2857-2880
- Jinwen Ma, Lei Xu, Michael I. Jordan:
Asymptotic Convergence Rate of the EM Algorithm for Gaussian Mixtures.
2881-2907
- Masashi Sugiyama, Hidemitsu Ogawa:
Incremental Active Learning for Optimal Generalization.
2909-2940
- José Luis Bernier, Julio Ortega, Eduardo Ros Vidal, Ignacio Rojas, Alberto Prieto:
A Quantitative Study of Fault Tolerance, Noise Immunity, and Generalization Ability of MLPs.
2941-2964
- Jirí Síma, Pekka Orponen, Teemu Antti-Poika:
On the Computational Complexity of Binary and Analog Symmetric Hopfield Nets.
2965-2989
Copyright © Mon Nov 2 21:49:09 2009
by Michael Ley (ley@uni-trier.de)
