Neural Computation, Volume 10

Volume 10, Number 1, January 1998

• David Horn, Nir Levy, Eytan Ruppin:
  Memory Maintenance via Neuronal Regulation. 1-18
  

• Guang-Bin Huang, Haroon A. Babri, Hua-Tian Li:
  Ordering of Self-Organizing Maps in Multi-Dimensional Cases. 19-24
  

• Asohan Amarasingham, William B. Levy:
  Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model. 25-58
  
• Ravi Kothari, Rohit Lotlikar, Marc Cathay:
  State Dependent Weights for Neural Associative Memories. 59-72
  
• A. David Redish, David S. Touretzky:
  The Role of the Hippocampus in Solving the Morris Water Maze. 73-112
  
• Hiroyuki Nakahara, Kenji Doya:
  Near Saddle-Node Bifurcation Behavior as Dynamics in Working Memory for Goal-Directed Behavior. 113-132
  
• Gérard Dreyfus, Yizhak Idan:
  A Canonical Form of Nonlinear Discrete-Time Models. 133-165
  
• Andrew D. Back, Ah Chung Tsoi:
  A Low Sensitivity Recurrent Neural Network. 165-188
  
• Jianfeng Feng, David Brown:
  Fixed Point Attractor Analysis for a Class of Neurodynamics. 189-214
  
• Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams:
  GTM: The Generative Topographic Mapping. 215-234
  
• Michael Schmitt:
  Identification Criteria and Lower Bounds for Perceptron-LikeLearning Rules. 235-250
  

Volume 10, Number 2, February 1998

• Shun-ichi Amari:
  Natural Gradient Works Efficiently in Learning. 251-276
  

• Leslie S. Smith:
  Adding Recurrence to a Simple Feedforward Network Can Enable it to Perform Exclusive-or. 277-280
  
• David J. Miller, Hasan S. Uyar:
  Combined Learning and Use for a Mixture Model Equivalent to the RBF Classifier. 281-293
  

• Lin Liu, Marc M. Van Hulle:
  Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion. 295-312
  
• Seth Cameron, Stephen Grossberg, Frank H. Guenther:
  A Self-Organizing Neural Network Architecture for Navigation Using Optic Flow. 313-352
  
• Paul Mineiro, David Zipser:
  Analysis of Direction Selectivity Arising From Recurrent Cortical Interactions. 353-371
  
• Alexandre Pouget, Kechen Zhang, Sophie Denève, Peter E. Latham:
  Statistically Efficient Estimation Using Population Coding. 373-401
  
• Richard S. Zemel, Peter Dayan, Alexandre Pouget:
  Probabilistic Interpretation of Population Codes. 403-430
  
• Francesco P. Battaglia, Alessandro Treves:
  Stable and Rapid Recurrent Processing in Realistic Autoassociative Memories. 431-450
  
• Asnat Greenstein-Messica, Eytan Ruppin:
  Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia. 451-465
  
• David Hansel, Germán Mato, Claude Meunier, L. Neltner:
  On Numerical Simulations of Integrate-and-Fire Neural Networks. 467-483
  
• Takashi Matsumoto, T. Sawaji, T. Sakai, H. Nagai:
  A Floating Gate MOS Implementation of Resistive Fuse. 485-498
  

Volume 10, Number 3, April 1998

• Norberto M. Grzywacz, Pierre-Yves Burgi:
  Towards A Biophysically Plausible Bidirectional Hebbian Rule. 499-520
  

• Geoffrey J. Goodhill, Herwig Baier:
  Axon Guidance: Stretching Gradients to the Limit. 521-527
  
• Kenneth D. Miller:
  Equivalence of a Sprouting-And-Retraction Model and Correlation-Based Plasticity Models of Neural Development. 529-547
  
• Terry Elliott, C. I. Howarth, Nigel Shadbolt:
  Axonal Processes and Neural Plasticity: A Reply. 549-554
  

• Harold Huning, Helmut Glunder, Günther Palm:
  Synaptic Delay Learning in Pulse-Coupled Neurons. 555-565
  
• Kiyohiko Nakamura:
  Neural Processing of the Subsecond Time Range in the Temporal Cortex. 567-595
  
• Ehud Ahissar:
  Temporal-to Rate-Code Conversion by Neuronal Phase-Locked Loops. 597-650
  
• Toru Aonishi, Koji Kurata:
  Deformation Theory of the Dynamic Link Matching. 651-669
  
• Laurenz Wiskott, Terrence J. Sejnowski:
  Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization. 671-716
  
• Maximilian Riesenhuber, Hans-Ulrich Bauer, Dirk Brockmann, Theo Geisel:
  Breaking Rotational Symmetry in a Self-Organizing Map-Model for Orientation Map Development. 717-730
  
• Volker Tresp, Reimar Hofmann:
  Nonlinear Time-Series Prediction with Missing and Noisy Data. 731-747
  
• Peter Müller, David Ríos Insua:
  Issues in Bayesian Analysis of Neural Network Models. 749-770
  

Volume 10, Number 4, May 1998

• Jean-Marc Fellous, Christiane Linster:
  Computational Models of Neuromodulation. 771-805
  

• Siming Lin, Jennie Si:
  Weight Value Convergence of the SOM Algorithm for Discrete Input. 807-814
  
• Walter Senn, Idan Segev, Misha Tsodyks:
  Reading Neuronal Synchrony with Depressing Synapses. 815-819
  

• Misha Tsodyks, Klaus Pawelzik, Henry Markram:
  Neural Networks with Dynamic Synapses. 821-835
  
• Sharon M. Crook, Bard Ermentrout, James M. Bower:
  Spike Frequency Adaptation Affects the Synchronization Properties of Networks of Cortical Oscillator. 837-854
  
• Paul Bush, Nicholas Priebe:
  GABAergic Inhibitory Control of the Transient and Sustained Components of Orientation Selectivity in a Model Microcolumn in Layer 4 of Cat Visual Cortex. 855-867
  
• Vikaas S. Sohal, Michael E. Hasselmo:
  Changes in GABA_B Modulation During a Theta Cycle May Be Analogous to the Fall of Temperature During Annealing. 869-882
  
• Jean-Cédric Chappelier, Alain Grumbach:
  RST: A Connectionist Architecture To Deal With Spatiotemporal Relationships. 883-902
  
• Zhaoping Li:
  A Neural Model of Contour Integration in the Primary Visual Cortex. 903-940
  
• Klaus Prank, Clemens Jürgens, Alexander von zur Mühlen, Georg Brabant:
  Predictive Neural Networks for Learning the Time Course of Blood Glucose Levels From the Complex Interaction of Counterregulartory Hormones. 941-953
  
• Massimiliano Pontil, Alessandro Verri:
  Properties of Support Vector Machines. 955-974
  
• Eric T. Bax:
  Validation of Voting Committees. 975-986
  
• Peter J. Edwards, Alan F. Murray:
  Towards Optimally Distributed Computation. 987-1005
  
• Juan Manuel Torres Moreno, Mirta B. Gordon:
  Efficient Adaptive Learning for Classification Tasks with Binary Units. 1007-1030
  
• Guian Zhou, Jennie Si:
  A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency. 1031-1045
  

Volume 10, Number 5, July 1998

• Boris S. Gutkin, Bard Ermentrout:
  Dynamics of Membrane Excitability Determine Inter-Spike Interval Variability: A Link Between Spike Generation Mechanisms and Cortical Spike Train Statistics. 1047-1065
  

• Michael Casey:
  Correction To Proof That Recurrent Neural Networks Can Robustly Recognize Only Regular Languages. 1067-1069
  

• Wolfgang Maass, Pekka Orponen:
  On the Effect of Analog Noise in Discrete-Time Analog Computations. 1071-1095
  
• Virginia R. de Sa, Dana H. Ballard:
  Category Learning Through Multi-Modality Sensing. 1097-1117
  
• Peter Dayan:
  A Hierarchical Model of Binocular Rivalry. 1119-1135
  
• Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz:
  Efficient Learning in Boltzmann Machines Using Linear Response Theory. 1137-1156
  
• Javier R. Movellan:
  A Learning Theorem for Networks at Detailed Stochastic Equilibrium. 1157-1178
  
• Michael DeWeese, Anthony M. Zador:
  Asymmetric Dynamics in Optimal Variance Adaptation. 1179-1202
  
• Christopher K. I. Williams:
  Computation with Infinite Neural Networks. 1203-1216
  
• C. C. Homes, B. K. Mallick:
  Bayesian Radial Basis Functions of Variable Dimension. 1217-1233
  
• Xin Wang, Arun K. Jagota, Fernanda Botelho, Max H. Garzon:
  Absence of Cycles in Symmetric Neural Networks. 1235-1249
  
• Walter Senn, Thierry Wannier, J. Kleinle, Hans-Rudolf Lüscher, L. Müller, Jürg Streit, Kuno Wyler:
  Pattern Generation by Two Coupled Time-Discrete Neural Networks with Synaptic Depression. 1251-1275
  
• James A. Reggia, Sharon Goodall, Yuri Shkuro:
  Computational Studies of Lateralization of Phoneme Sequence Generation. 1277-1297
  
• Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller:
  Nonlinear Component Analysis as a Kernel Eigenvalue Problem. 1299-1319
  

Volume 10, Number 6, August 1998

• Carl van Vreeswijk, Haim Sompolinsky:
  Chaotic Balanced State in a Model Of Cortical Circuits. 1321-1371
  
• Hagai Attias, Christoph E. Schreiner:
  Blind Source Separation and Deconvolution: the Dynamic Component Analysis Algorithm. 1373-1424
  

• Tom Heskes:
  Bias/Variance Decompositions for Likelihood-Based Estimators. 1425-1433
  
• Isao Higuchi, Shinto Eguchi:
  The Influence Function of Principal Component Analysis by Self-Organizing Rule. 1435-1444
  
• Tomaso Poggio, Federico Girosi:
  A Sparse Representation For Function Approximation. 1445-1454
  

• Federico Girosi:
  An Equivalence Between Sparse Approximation And Support Vector Machines. 1455-1480
  
• John Sum, Lai-Wan Chan, Andrew Chi-Sing Leung, Gilbert H. Young:
  Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks. 1481-1505
  
• Néstor Parga, Edmund T. Rolls:
  Transform Invariant Recognition by Association in a Recurrent Network. 1507-1525
  
• Toshio Aoyagi, Katsunori Kitano:
  Retrieval Dynamics in Oscillator Neural Networks. 1527-1546
  
• Ralf Opara, Florentin Wörgötter:
  A Fast And Robust Cluster Update Algorithm For Image Segmentation In Spin-Lattice Models Without Annealing - Visual Latencies Revisited. 1547-1566
  
• Terence D. Sanger:
  Probability Density Methods for Smooth Function Approximation and Learning in Populations of Tuned Spiking Neurons. 1567-1586
  
• Jari Häkkinen, Martin Lagerholm, Carsten Peterson, Bo Söderberg:
  A Potts Neuron Approach To Communication Routing. 1587-1599
  

Volume 10, Number 7, October 1998

• Rahul Sarpeshkar:
  Analog Versus Digital: Extrapolating from Electronics to Neurobiology. 1601-1638
  

• J. Köhn, Florentin Wörgötter:
  Employing The -Transform to Optimize the Calculation of the Synaptic Conductance of NMDA-and Other Synaptic Channels in Network Simulations. 1639-1651
  

• Christopher J. Coomber:
  Site-Selective Autophosphorylation of Ca2+/Calmodulin-Dependent Protein Kinase II as a Synaptic Encoding Mechanism. 1653-1678
  
• Elad Schneidman, Barry Freedman, Idan Segev:
  Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing. 1679-1703
  
• David Horn, Sharon Levanda:
  Fast Temporal Encoding and Decoding with Spiking Neurons. 1705-1720
  
• Bard Ermentrout:
  Linearization of F-I Curves by Adaptation. 1721-1729
  
• Nicolas Brunel, Jean-Pierre Nadal:
  Mutual Information, Fisher Information and Population Coding. 1731-1757
  
• Gal Chechik, Isaac Meilijson, Eytan Ruppin:
  Synaptic Pruning In Development: A Computational Account. 1759-1777
  
• Alexander Dimitrov, Jack D. Cowan:
  Spatial Decorrelation in Orientation-Selective Cortical Cells. 1779-1795
  
• Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper:
  Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules. 1797-1813
  
• Michael D. Lee:
  Neural Feature Abstraction from Judgements of Similarity. 1815-1830
  
• Patrick D. Roberts:
  Classification Of Temporal Patterns In Dynamic Biological Networks. 1831-1846
  
• Marc M. Van Hulle:
  Kernel-Based Equiprobable Topographic Map Formation. 1847-1871
  
• Andrew M. Finch, Richard C. Wilson, Edwin R. Hancock:
  An Energy Function and Continuous Edit Process for Graph Matching. 1873-1894
  
• Thomas G. Dietterich:
  Approximate Statistical Test For Comparing Supervised Classification Learning Algorithms. 1895-1923
  
• Gad Miller, David Horn:
  Probability Density Estimation Using Entropy Maximization. 1925-1938
  

Volume 10, Number 8, November 1998

• Terry Elliott, Nigel Shadbolt:
  Competition for Neurotrophic Factors: Mathematical Analysis. 1939-1981
  

• Martha J. Farah:
  Why Does the Somatosensory Homunculus Have Hand Next to Face and Feet Next to Genitals?: An Hypothesis. 1983-1985
  

• Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner:
  Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input. 1987-2017
  
• Viktor K. Jirsa, Armin Fuchs, J. A. Scott Kelso:
  Connecting Cortical And Behavioral Dynamics: Bimanual Coordination. 2019-2045
  
• Stefan Schaal, Christopher G. Atkeson:
  Constructive Incremental Learning from Only Local Information. 2047-2084
  
• Dragan Obradovic, Gustavo Deco:
  Information Maximization and Independent Component Analysis: Is There a Difference? 2085-2101
  
• Mark Girolami:
  An Alternative Perspective on Adaptive Independent Component Analysis Algorithms. 2103-2114
  
• Akio Utsugi:
  Density Estimation by Mixture Models with Smoothing Priors. 2115-2135
  
• Howard Hua Yang, Shun-ichi Amari:
  Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons. 2137-2157
  
• Peter L. Bartlett, Vitaly Maiorov, Ron Meir:
  Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks. 2159-2173
  
• Holger Schwenk:
  The Diabolo Classifier. 2175-2200
  
• Peter Sollich, David Barber:
  Online Learning from Finite Training Sets and Robustness to Input Bias. 2201-2217
  
• Huaiyu Zhu, Wolfgang Kinzel:
  Anti-Predictable Sequences: Harder to Predict Than Random Sequences. 2219-2230
  

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