Neural Computation, Volume 12

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 update Mon May 20 18:15:50 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page