Journal: Neural Computation

Volume 10, Issue 8

1939 -- 1981Terry Elliott, Nigel Shadbolt. Competition for Neurotrophic Factors: Mathematical Analysis
1983 -- 1985Martha J. Farah. Why Does the Somatosensory Homunculus Have Hand Next to Face and Feet Next to Genitals?: An Hypothesis
1987 -- 2017Richard Kempter, Wulfram Gerstner, J. Leo van Hemmen, Hermann Wagner. Extracting Oscillations: Neuronal Coincidence Detection with Noisy Periodic Spike Input
2019 -- 2045Viktor K. Jirsa, Armin Fuchs, J. A. Scott Kelso. Connecting Cortical And Behavioral Dynamics: Bimanual Coordination
2047 -- 2084Stefan Schaal, Christopher G. Atkeson. Constructive Incremental Learning from Only Local Information
2085 -- 2101Dragan Obradovic, Gustavo Deco. Information Maximization and Independent Component Analysis: Is There a Difference?
2103 -- 2114Mark Girolami. An Alternative Perspective on Adaptive Independent Component Analysis Algorithms
2115 -- 2135Akio Utsugi. Density Estimation by Mixture Models with Smoothing Priors
2137 -- 2157Howard Hua Yang, Shun-ichi Amari. Complexity Issues in Natural Gradient Descent Method for Training Multi-Layer Perceptrons
2159 -- 2173Peter L. Bartlett, Vitaly Maiorov, Ron Meir. Almost Linear VC-Dimension Bounds for Piecewise Polynomial Networks
2175 -- 2200Holger Schwenk. The Diabolo Classifier
2201 -- 2217Peter Sollich, David Barber. Online Learning from Finite Training Sets and Robustness to Input Bias
2219 -- 2230Huaiyu Zhu, Wolfgang Kinzel. Anti-Predictable Sequences: Harder to Predict Than Random Sequences

Volume 10, Issue 7

1601 -- 1638Rahul Sarpeshkar. Analog Versus Digital: Extrapolating from Electronics to Neurobiology
1639 -- 1651J. Kohn, Florentin Wörgötter. Employing The -Transform to Optimize the Calculation of the Synaptic Conductance of NMDA-and Other Synaptic Channels in Network Simulations
1653 -- 1678Christopher J. Coomber. Site-Selective Autophosphorylation of Ca2+/Calmodulin-Dependent Protein Kinase II as a Synaptic Encoding Mechanism
1679 -- 1703Elad Schneidman, Barry Freedman, Idan Segev. Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing
1705 -- 1720David Horn, Sharon Levanda. Fast Temporal Encoding and Decoding with Spiking Neurons
1721 -- 1729Bard Ermentrout. Linearization of F-I Curves by Adaptation
1731 -- 1757Nicolas Brunel, Jean-Pierre Nadal. Mutual Information, Fisher Information and Population Coding
1759 -- 1777Gal Chechik, Isaac Meilijson, Eytan Ruppin. Synaptic Pruning In Development: A Computational Account
1779 -- 1795Alexander Dimitrov, Jack D. Cowan. Spatial Decorrelation in Orientation-Selective Cortical Cells
1797 -- 1813Brian S. Blais, Nathan Intrator, Harel Z. Shouval, Leon N. Cooper. Receptive Field Formation in Natural Scene Environments: Comparison of Single Cell Learning Rules
1815 -- 1830Michael D. Lee. Neural Feature Abstraction from Judgements of Similarity
1831 -- 1846Patrick D. Roberts. Classification Of Temporal Patterns In Dynamic Biological Networks
1847 -- 1871Marc M. Van Hulle. Kernel-Based Equiprobable Topographic Map Formation
1873 -- 1894Andrew M. Finch, Richard C. Wilson, Edwin R. Hancock. An Energy Function and Continuous Edit Process for Graph Matching
1895 -- 1923Thomas G. Dietterich. Approximate Statistical Test For Comparing Supervised Classification Learning Algorithms
1925 -- 1938Gad Miller, David Horn. Probability Density Estimation Using Entropy Maximization

Volume 10, Issue 6

1321 -- 1371Carl van Vreeswijk, Haim Sompolinsky. Chaotic Balanced State in a Model Of Cortical Circuits
1373 -- 1424Hagai Attias, Christoph E. Schreiner. Blind Source Separation and Deconvolution: the Dynamic Component Analysis Algorithm
1425 -- 1433Tom Heskes. Bias/Variance Decompositions for Likelihood-Based Estimators
1435 -- 1444Isao Higuchi, Shinto Eguchi. The Influence Function of Principal Component Analysis by Self-Organizing Rule
1445 -- 1454Tomaso Poggio, Federico Girosi. A Sparse Representation For Function Approximation
1455 -- 1480Federico Girosi. An Equivalence Between Sparse Approximation And Support Vector Machines
1481 -- 1505John Sum, Lai-Wan Chan, Andrew Chi-Sing Leung, Gilbert H. Young. Extended Kalman Filter-Based Pruning Method for Recurrent Neural Networks
1507 -- 1525Néstor Parga, Edmund T. Rolls. Transform Invariant Recognition by Association in a Recurrent Network
1527 -- 1546Toshio Aoyagi, Katsunori Kitano. Retrieval Dynamics in Oscillator Neural Networks
1547 -- 1566Ralf Opara, Florentin Wörgötter. A Fast And Robust Cluster Update Algorithm For Image Segmentation In Spin-Lattice Models Without Annealing - Visual Latencies Revisited
1567 -- 1586Terence D. Sanger. Probability Density Methods for Smooth Function Approximation and Learning in Populations of Tuned Spiking Neurons
1587 -- 1599Jari Häkkinen, Martin Lagerholm, Carsten Peterson, Bo Söderberg. A Potts Neuron Approach To Communication Routing

Volume 10, Issue 5

1047 -- 1065Boris S. Gutkin, Bard Ermentrout. Dynamics of Membrane Excitability Determine Inter-Spike Interval Variability: A Link Between Spike Generation Mechanisms and Cortical Spike Train Statistics
1067 -- 1069Michael Casey. Correction To Proof That Recurrent Neural Networks Can Robustly Recognize Only Regular Languages
1071 -- 1095Wolfgang Maass, Pekka Orponen. On the Effect of Analog Noise in Discrete-Time Analog Computations
1097 -- 1117Virginia R. de Sa, Dana H. Ballard. Category Learning Through Multi-Modality Sensing
1119 -- 1135Peter Dayan. A Hierarchical Model of Binocular Rivalry
1137 -- 1156Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz. Efficient Learning in Boltzmann Machines Using Linear Response Theory
1157 -- 1178Javier R. Movellan. A Learning Theorem for Networks at Detailed Stochastic Equilibrium
1179 -- 1202Michael DeWeese, Anthony M. Zador. Asymmetric Dynamics in Optimal Variance Adaptation
1203 -- 1216Christopher K. I. Williams. Computation with Infinite Neural Networks
1217 -- 1233C. C. Homes, B. K. Mallick. Bayesian Radial Basis Functions of Variable Dimension
1235 -- 1249Xin Wang, Arun K. Jagota, Fernanda Botelho, Max H. Garzon. Absence of Cycles in Symmetric Neural Networks
1251 -- 1275Walter 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
1277 -- 1297James A. Reggia, Sharon Goodall, Yuri Shkuro. Computational Studies of Lateralization of Phoneme Sequence Generation
1299 -- 1319Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller. Nonlinear Component Analysis as a Kernel Eigenvalue Problem

Volume 10, Issue 4

771 -- 805Jean-Marc Fellous, Christiane Linster. Computational Models of Neuromodulation
807 -- 814Siming Lin, Jennie Si. Weight Value Convergence of the SOM Algorithm for Discrete Input
815 -- 819Walter Senn, Idan Segev, Misha Tsodyks. Reading Neuronal Synchrony with Depressing Synapses
821 -- 835Misha Tsodyks, Klaus Pawelzik, Henry Markram. Neural Networks with Dynamic Synapses
837 -- 854Sharon M. Crook, Bard Ermentrout, James M. Bower. Spike Frequency Adaptation Affects the Synchronization Properties of Networks of Cortical Oscillator
855 -- 867Paul 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
869 -- 882Vikaas S. Sohal, Michael E. Hasselmo. Changes in GABA::B:: Modulation During a Theta Cycle May Be Analogous to the Fall of Temperature During Annealing
883 -- 902Jean-Cédric Chappelier, Alain Grumbach. RST: A Connectionist Architecture To Deal With Spatiotemporal Relationships
903 -- 940Zhaoping Li. A Neural Model of Contour Integration in the Primary Visual Cortex
941 -- 953Klaus 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
955 -- 974Massimiliano Pontil, Alessandro Verri. Properties of Support Vector Machines
975 -- 986Eric T. Bax. Validation of Voting Committees
987 -- 1005Peter J. Edwards, Alan F. Murray. Towards Optimally Distributed Computation
1007 -- 1030Juan Manuel Torres Moreno, Mirta B. Gordon. Efficient Adaptive Learning for Classification Tasks with Binary Units
1031 -- 1045Guian Zhou, Jennie Si. A Systematic and Effective Supervised Learning Mechanism Based on Jacobian Rank Deficiency

Volume 10, Issue 3

499 -- 520Norberto M. Grzywacz, Pierre-Yves Burgi. Towards A Biophysically Plausible Bidirectional Hebbian Rule
521 -- 527Geoffrey J. Goodhill, Herwig Baier. Axon Guidance: Stretching Gradients to the Limit
529 -- 547Kenneth D. Miller. Equivalence of a Sprouting-And-Retraction Model and Correlation-Based Plasticity Models of Neural Development
549 -- 554Terry Elliott, C. I. Howarth, Nigel Shadbolt. Axonal Processes and Neural Plasticity: A Reply
555 -- 565Harold Huning, Helmut Glunder, Günther Palm. Synaptic Delay Learning in Pulse-Coupled Neurons
567 -- 595Kiyohiko Nakamura. Neural Processing of the Subsecond Time Range in the Temporal Cortex
597 -- 650Ehud Ahissar. Temporal-to Rate-Code Conversion by Neuronal Phase-Locked Loops
651 -- 669Toru Aonishi, Koji Kurata. Deformation Theory of the Dynamic Link Matching
671 -- 716Laurenz Wiskott, Terrence J. Sejnowski. Constrained Optimization for Neural Map Formation: A Unifying Framework for Weight Growth and Normalization
717 -- 730Maximilian Riesenhuber, Hans-Ulrich Bauer, Dirk Brockmann, Theo Geisel. Breaking Rotational Symmetry in a Self-Organizing Map-Model for Orientation Map Development
731 -- 747Volker Tresp, Reimar Hofmann. Nonlinear Time-Series Prediction with Missing and Noisy Data
749 -- 770Peter Muller, David Ríos Insua. Issues in Bayesian Analysis of Neural Network Models

Volume 10, Issue 2

251 -- 276Shun-ichi Amari. Natural Gradient Works Efficiently in Learning
277 -- 280Leslie S. Smith. Adding Recurrence to a Simple Feedforward Network Can Enable it to Perform Exclusive-or
281 -- 293David J. Miller, Hasan S. Uyar. Combined Learning and Use for a Mixture Model Equivalent to the RBF Classifier
295 -- 312Lin Liu, Marc M. Van Hulle. Modeling the Surround of MT Cells and Their Selectivity for Surface Orientation in Depth Specified by Motion
313 -- 352Seth Cameron, Stephen Grossberg, Frank H. Guenther. A Self-Organizing Neural Network Architecture for Navigation Using Optic Flow
353 -- 371Paul Mineiro, David Zipser. Analysis of Direction Selectivity Arising From Recurrent Cortical Interactions
373 -- 401Alexandre Pouget, Kechen Zhang, Sophie Deneve, Peter E. Latham. Statistically Efficient Estimation Using Population Coding
403 -- 430Richard S. Zemel, Peter Dayan, Alexandre Pouget. Probabilistic Interpretation of Population Codes
431 -- 450Francesco P. Battaglia, Alessandro Treves. Stable and Rapid Recurrent Processing in Realistic Autoassociative Memories
451 -- 465Asnat Greenstein-Messica, Eytan Ruppin. Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia
467 -- 483David Hansel, Germán Mato, Claude Meunier, L. Neltner. On Numerical Simulations of Integrate-and-Fire Neural Networks
485 -- 498Takashi Matsumoto, T. Sawaji, T. Sakai, H. Nagai. A Floating Gate MOS Implementation of Resistive Fuse

Volume 10, Issue 1

1 -- 18David Horn, Nir Levy, Eytan Ruppin. Memory Maintenance via Neuronal Regulation
19 -- 24Guang-Bin Huang, Haroon A. Babri, Hua-Tian Li. Ordering of Self-Organizing Maps in Multi-Dimensional Cases
25 -- 58Asohan Amarasingham, William B. Levy. Predicting the Distribution of Synaptic Strengths in a Self-Organizing, Sequence Prediction Model
59 -- 72Ravi Kothari, Rohit Lotlikar, Marc Cathay. State Dependent Weights for Neural Associative Memories
73 -- 112A. David Redish, David S. Touretzky. The Role of the Hippocampus in Solving the Morris Water Maze
113 -- 132Hiroyuki Nakahara, Kenji Doya. Near Saddle-Node Bifurcation Behavior as Dynamics in Working Memory for Goal-Directed Behavior
133 -- 165Gérard Dreyfus, Yizhak Idan. A Canonical Form of Nonlinear Discrete-Time Models
165 -- 188Andrew D. Back, Ah Chung Tsoi. A Low Sensitivity Recurrent Neural Network
189 -- 214Jianfeng Feng, David Brown. Fixed Point Attractor Analysis for a Class of Neurodynamics
215 -- 234Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams. GTM: The Generative Topographic Mapping
235 -- 250Michael Schmitt. Identification Criteria and Lower Bounds for Perceptron-LikeLearning Rules