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ORCIDNeural 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. Bohté, 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, Ahmet 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, Alexander 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 - Ángel 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 Köberle, 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, 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, Neil 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, Barbara 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
- Eric B. Baum, Igor Durdanovic:
Evolution of Cooperative Problem Solving in an Artificial Economy. 2743-2775
- Henry C. Tuckwell:
Cortical Potential Distributions and Information Processing. 2777-2795
- 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 - Joseph McIntyre, F. Stratta, Jacques Droulez, Francesco 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 Lopera, 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
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