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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