Volume 12, Number 1, January 2000

• 
  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

• 
  DeLiang L. Wang: On Connectedness: A Solution Based on Oscillatory Correlation. 131-139
• 
  Miguel Á. Carreira-Perpiñán, Steve Renals: Practical Identifiability of Finite Mixtures of Multivariate Bernoulli Distributions. 141-152

• 
  Sander M. Bohte, Henk Spekreijse, Pieter 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

• 
  Bartlett W. Mel, József Fiser: Minimizing Binding Errors Using Learned Conjunctive Features. 247-278

• 
  Ning Qian, Samuel Mikaelian: Relationship Between Phase and Energy Methods for Disparity Computation. 279-292
• 
  Aleksander Kolcz: N-tuple Network, CART, and Bagging. 293-304
• 
  Niall M. Adams, David J. Hand: Improving the Practice of Classifier Performance Assessment. 305-311

• 
  Emilio Salinas, L. F. Abbott: Do Simple Cells in Primary Visual Cortex Form a Tight Frame? 313-335
• 
  Michael S. Lewicki, Terrence J. Sejnowski: Learning Overcomplete Representations. 337-365
• 
  Hans E. Plesser, Wulfram Gerstner: Noise in Integrate-and-Fire Neurons: From Stochastic Input to Escape Rates. 367-384
• 
  Werner M. Kistler, J. Leo van Hemmen: Modeling Synaptic Plasticity in Conjunction with the Timing of Pre- and Postsynaptic Action Potentials. 385-405
• 
  Masa-aki Sato, Shin Ishii: On-line EM Algorithm for the Normalized Gaussian Network. 407-432
• 
  Maxim Khaikine, Klaus Holthausen: A General Probability Estimation Approach for Neural Computation. 433-450
• 
  Fation Sevrani, Kennichi Abe: On the Synthesis of Brain-State-in-a-Box Neural Models with Application to Associative Memory. 451-472

Volume 12, Number 3, March 2000

• 
  Bruce W. Knight: Dynamics of Encoding in Neuron Populations: Some General Mathematical Features. 473-518

• 
  Manuel A. Sánchez-Montañés, Paul F. M. J. Verschure, Peter König: Local and Global Gating of Synaptic Plasticity. 519-529
• 
  Nathalie Japkowicz, Stephen Jose Hanson, Mark A. Gluck: Nonlinear Autoassociation Is Not Equivalent to PCA. 531-545

• 
  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

• 
  Bartlett W. Mel, József Fiser: Minimizing Binding Errors Using Learned Conjunctive Features. 731-762
• 
  Antonio Turiel, Néstor Parga: The Multifractal Structure of Contrast Changes in Natural Images: From Sharp Edges to Textures. 763-793

• 
  Hanzhong Gu, Haruhisa Takahashi: Exponential or Polynomial Learning Curves? Case-Based Studies. 795-809

• 
  Eric Hartman: Training Feedforward Neural Networks with Gain Constraints. 811-829
• 
  Zoubin Ghahramani, Geoffrey E. Hinton: Variational Learning for Switching State-Space Models. 831-864
• 
  Chengxiang Zhang, Chandan Dasgupta, Manoranjan P. Singh: Retrieval Properties of a Hopfield Model with Random Asymmetric Interactions. 865-880
• 
  Tom Heskes: On "Natural" Learning and Pruning in Multilayered Perceptrons. 881-901
• 
  Michele Giugliano: Synthesis of Generalized Algorithms for the Fast Computation of Synaptic Conductances with Markov Kinetic Models in Large Network Simulations. 903-931
• 
  João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee: Hierarchical Bayesian Models for Regularization in Sequential Learning. 933-953
• 
  João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee, Arnaud Doucet: Sequential Monte Carlo Methods to Train Neural Network Models. 955-993

Volume 12, Number 5, May 2000

• 
  Michael L. Hines, Nicholas T. Carnevale: Expanding NEURON's Repertoire of Mechanisms with NMODL. 995-1007

• 
  Simona Doboli, Ali A. Minai, Phillip J. Best: Latent Attractors: A Model for Context-Dependent Place Representations in the Hippocampus. 1009-1043

• 
  Bruce W. Knight, A. Omurtag, L. Sirovich: The Approach of a Neuron Population Firing Rate to a New Equilibrium: An Exact Theoretical Result. 1045-1055
• 
  Brian S. Blais, Leon N. Cooper, Harel Z. Shouval: Formation of Direction Selectivity in Natural Scene Environments. 1057-1066

• 
  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

• 
  Joshua B. Tenenbaum, William T. Freeman: Separating Style and Content with Bilinear Models. 1247-1283

• 
  Danilo P. Mandic, Jonathon A. Chambers: Relationships Between the A Priori and A Posteriori Errors in Nonlinear Adaptive Neural Filters. 1285-1292
• 
  Wenxin Jiang: The VC Dimension for Mixtures of Binary Classifiers. 1293-1301
• 
  Malik Magdon-Ismail, Amir F. Atiya: The Early Restart Algorithm. 1303-1312

• 
  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

• 
  Rosario M. Balboa, Norberto M. Grzywacz: The Minimal Local-Asperity Hypothesis of Early Retinal Lateral Inhibition. 1485-1517

• 
  Christian W. Eurich, Stefan D. Wilke: Multidimensional Encoding Strategy of Spiking Neurons. 1519-1529

• 
  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

• 
  Wolfgang Maass, Eduardo D. Sontag: Neural Systems as Nonlinear Filters. 1743-1772

• 
  Giovanni Settanni, Alessandro Treves: Analytical Model for the Effects of Learning on Spike Count Distributions. 1773-1787

• 
  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

• 
  François Fleuret, Eric Brunet: DEA: An Architecture for Goal Planning and Classification. 1987-2008

• 
  Gavin C. Cawley: On a Fast, Compact Approximation of the Exponential Function. 2009-2012

• 
  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

• 
  Stefano Fusi, Mario Annunziato, Davide Badoni, Andrea Salamon, Daniel J. Amit: Spike-Driven Synaptic Plasticity: Theory, Simulation, VLSI Implementation. 2227-2258

• 
  Gennady S. Cymbalyuk, Girish N. Patel, Ronald L. Calabrese, Stephen P. DeWeerth, Avis H. Cohen: Modeling Alternation to Synchrony with Inhibitory Coupling: A Neuromorphic VLSI Approach. 2259-2278
• 
  Radim Belohlávek: Representation of Concept Lattices by Bidirectional Associative Memories. 2279-2290

• 
  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

• 
  Paul C. Bressloff, N. W. Bressloff, Jack D. Cowan: Dynamical Mechanism for Sharp Orientation Tuning in an Integrate-and-Fire Model of a Cortical Hypercolumn. 2473-2511

• 
  Quentin Pauluis: Statistical Signs of Common Inhibitory Feedback with Delay. 2513-2518
• 
  Wolfgang Maass: On the Computational Power of Winner-Take-All. 2519-2535
• 
  Alejandro Sierra, Fernando J. Corbacho: Reclassification as Supervised Clustering. 2537-2546

• 
  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, Frank 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

• 
  Henry C. Tuckwell: Cortical Potential Distributions and Information Processing. 2777-2795

• 
  Eric B. Baum, Igor Durdanovic: Evolution of Cooperative Problem Solving in an Artificial Economy. 2743-2775

• 
  Jonathan D. Victor: Asymptotic Bias in Information Estimates and the Exponential (Bell) Polynomials. 2797-2804

• 
  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

last updated on Thu May 23 04:33:49 2013 by the dblp team
data released under the ODC-BY 1.0 license
see also our legal information page