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Neural Computation, Volume 13
Volume 13, Number 1, January 2001
- Amit Manwani, Christof Koch
:
Detecting and Estimating Signals over Noisy and Unreliable Synapses: Information-Theoretic Analysis. 1-33
- Walter Senn
An Algorithm for Modifying Neurotransmitter Release Probability Based on Pre- and Postsynaptic Spike Timing. 35-67 - Richard Bertram
Differential Filtering of Two Presynaptic Depression Mechanisms. 69-85 - John M. Beggs:
A Statistical Theory of Long-Term Potentiation and Depression. 87-111 - L. Niels Cornelisse
Minimal Model for Intracellular Calcium Oscillations and Electrical Bursting in Melanotrope Cells of Xenopus Laevis. 113-137 - Katrin Suder, Florentin Wörgötter, Thomas Wennekers:
Neural Field Model of Receptive Field Restructuring in Primary Visual Cortex. 139-159 - Arunava Banerjee
On the Phase-Space Dynamics of Systems of Spiking Neurons. I: Model and Experiments. 161-193 - Arunava Banerjee
On the Phase-Space Dynamics of Systems of Spiking Neurons. II: Formal Analysis. 195-225 - Brent Doiron, André Longtin, Neil Berman, Leonard Maler:
Subtractive and Divisive Inhibition: Effect of Voltage-Dependent Inhibitory Conductances and Noise. 227-248
Volume 13, Number 2, February 2001
- Stefan C. Kremer
Spatiotemporal Connectionist Networks: A Taxonomy and Review. 249-306
- Chih-Jen Lin
Formulations of Support Vector Machines: A Note from an Optimization Point of View. 307-317 - Hon-Kwok Fung, Leong Kwan Li:
Minimal Feedforward Parity Networks Using Threshold Gates. 319-326
- Ulrich Hillenbrand, J. Leo van Hemmen:
Does Corticothalamic Feedback Control Cortical Velocity Tuning? 327-355 - Heiko Wersing, Jochen J. Steil, Helge J. Ritter:
A Competitive-Layer Model for Feature Binding and Sensory Segmentation. 357-387 - Norbert Krüger:
Learning Object Representations Using A Priori Constraints Within ORASSYLL. 389-410 - Dmitri A. Rachkovskij
Binding and Normalization of Binary Sparse Distributed Representations by Context-Dependent Thinning. 411-452 - Peter Meinicke, Helge J. Ritter:
Resolution-Based Complexity Control for Gaussian Mixture Models. 453-475
Volume 13, Number 3, March 2001
- A. R. Gardner-Medwin, H. B. Barlow:
The Limits of Counting Accuracy in Distributed Neural Representations. 477-504
- Roman Rosipal, Mark A. Girolami
An Expectation-Maximization Approach to Nonlinear Component Analysis. 505-510
- Duane Q. Nykamp, Daniel Tranchina:
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Extension to Slow Inhibitory Synapses. 511-546 - Kenji Okajima, Hitoshi Imaoka:
A Complex Cell-Like Receptive Field Obtained by Information Maximization. 547-562 - James R. Williamson:
Self-Organization of Topographic Mixture Networks Using Attentional Feedback. 563-593 - Karin Haese, Geoffrey J. Goodhill
Auto-SOM: Recursive Parameter Estimation for Guidance of Self-Organizing Feature Maps. 595-619 - Tianping Chen, Shun-ichi Amari:
Exponential Convergence of Delayed Dynamical Systems. 621-635 - S. Sathiya Keerthi, Shirish K. Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy:
Improvements to Platt's SMO Algorithm for SVM Classifier Design. 637-649 - Jayanta Basak:
Learning Hough Transform: A Neural Network Model. 651-676 - Max Welling, Markus Weber:
A Constrained EM Algorithm for Independent Component Analysis. 677-689 - Ranit Aharonov-Barki, Tuvik Beker
Emergence of Memory-Driven Command Neurons in Evolved Artificial Agents. 691-716
Volume 13, Number 4, April 2001
- M. R. Jarvis, Partha P. Mitra
Sampling Properties of the Spectrum and Coherency of Sequences of Action Potentials. 717-749
- Mark C. W. van Rossum
A Novel Spike Distance. 751-763
- L. Neltner, David Hansel:
On Synchrony of Weakly Coupled Neurons at Low Firing Rate. 765-774 - Si Wu, Hiroyuki Nakahara
Population Coding with Correlation and an Unfaithful Model. 775-797 - Vijay Balasubramanian, Don Kimber, Michael J. Berry II:
Metabolically Efficient Information Processing. 799-815 - Gal Chechik
Effective Neuronal Learning with Ineffective Hebbian Learning Rules. 817-840 - Roland E. Suri
Temporal Difference Model Reproduces Anticipatory Neural Activity. 841-862 - Michael Zibulevsky, Barak A. Pearlmutter
Blind Source Separation by Sparse Decomposition in a Signal Dictionary. 863-882 - Aapo Hyvärinen:
Complexity Pursuit: Separating Interesting Components from Time Series. 883-898 - Sumio Watanabe:
Algebraic Analysis for Nonidentifiable Learning Machines. 899-933 - Shahar Mendelson
A New On-Line Learning Model. 935-957
Volume 13, Number 5, May 2001
- Carl van Vreeswijk, David Hansel:
Patterns of Synchrony in Neural Networks with Spike Adaptation. 959-992
- Akio Utsugi
Bayesian Analysis of Mixtures of Factor Analyzers. 993-1002
- Jeffrey J. Fox
Synchronization in Relaxation Oscillator Networks with Conduction Delays. 1003-1021 - Chris J. S. Webber:
Predictions of the Spontaneous Symmetry-Breaking Theory for Visual Code Completeness and Spatial Scaling in Single-Cell Learning Rules. 1023-1043 - Richard S. Zemel, Michael Mozer:
Localist Attractor Networks. 1045-1064 - Wolfgang Utschick
Stochastic Organization of Output Codes in Multiclass Learning Problems. 1065-1102 - S. Sundararajan, S. Sathiya Keerthi:
Predictive Approaches for Choosing Hyperparameters in Gaussian Processes. 1103-1118 - Vicente Ruiz de Angulo, Carme Torras
Architecture-Independent Approximation of Functions. 1119-1135 - Edward Kei Shiu Ho, Lai-Wan Chan:
Analyzing Holistic Parsers: Implications for Robust Parsing and Systematicity. 1137-1170 - Richard Shillcock, Padraic Monaghan:
The Computational Exploration of Visual Word Recognition in a Split Model. 1171-1198
Volume 13, Number 6, June 2001
- Randall C. O'Reilly
Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning. 1199-1241
- Rajesh P. N. Rao
Optimal Smoothing in Visual Motion Perception. 1243-1253
- Rufin Van Rullen, Simon J. Thorpe
Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex. 1255-1283 - Bard Ermentrout, Matthew Pascal, Boris S. Gutkin
The Effects of Spike Frequency Adaptation and Negative Feedback on the Synchronization of Neural Oscillators. 1285-1310 - Stefano Panzeri
A Unified Approach to the Study of Temporal, Correlational, and Rate Coding. 1311-1349 - Stuart N. Baker
Determination of Response Latency and Its Application to Normalization of Cross-Correlation Measures. 1351-1377 - Peter Tiño
Attractive Periodic Sets in Discrete-Time Recurrent Networks (with Emphasis on Fixed-Point Stability and Bifurcations in Two-Neuron Networks). 1379-1414 - Yali Amit, Massimo Mascaro:
Attractor Networks for Shape Recognition. 1415-1442
Volume 13, Number 7, July 2001
- Bernhard Schölkopf, John C. Platt, John Shawe-Taylor
Estimating the Support of a High-Dimensional Distribution. 1443-1471
- Carlo R. Laing
Stationary Bumps in Networks of Spiking Neurons. 1473-1494 - Saumil S. Patel, Bai-Chuan Jiang, Haluk Ögmen
Vergence Dynamics Predict Fixation Disparity. 1495-1525 - Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki:
Topographic Independent Component Analysis. 1527-1558 - James V. Stone
Blind Source Separation Using Temporal Predictability. 1559-1574 - Brian Sagi, Syrus C. Nemat-Nasser, Rex Kerr, Raja Hayek, Christopher Downing, Robert Hecht-Nielsen:
A Biologically Motivated Solution to the Cocktail Party Problem. 1575-1602 - Wenjia Wang, Phillis Jones, Derek Partridge:
A Comparative Study of Feature-Salience Ranking Techniques. 1603-1623 - Simone G. O. Fiori
A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold. 1625-1647 - Masa-aki Sato:
Online Model Selection Based on the Variational Bayes. 1649-1681
Volume 13, Number 8, 2001
- Lance R. Williams, Karvel K. Thornber:
Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape. 1683-1711
- Robert E. Kass, Valérie Ventura:
A Spike-Train Probability Model. 1713-1720
- Thomas Wennekers:
Orientation Tuning Properties of Simple Cells in Area V1 Derived from an Approximate Analysis of Nonlinear Neural Field Models. 1721-1747 - Zhaoping Li:
Computational Design and Nonlinear Dynamics of a Recurrent Network Model of the Primary Visual Cortex. 1749-1780 - Osamu Hoshino, Satoru Inoue, Yoshiki Kashimori, Takeshi Kambara:
A Hierarchical Dynamical Map as a Basic Frame for Cortical Mapping and Its Application to Priming. 1781-1810 - Heiko Wersing, Wolf-Jürgen Beyn, Helge J. Ritter:
Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions. 1811-1825 - Henrik Jönsson, Bo Söderberg:
An Information-Based Neural Approach to Constraint Satisfaction. 1827-1838 - Shahar Mendelson
Recurrence Methods in the Analysis of Learning Processes. 1839-1861 - Masashi Sugiyama, Hidemitsu Ogawa:
Subspace Information Criterion for Model Selection. 1863-1889 - C. Buzzi, Luigi Grippo, Marco Sciandrone:
Convergent Decomposition Techniques for Training RBF Neural Networks. 1891-1920
Volume 13, Number 9, September 2001
- Julian Eggert, J. Leo van Hemmen:
Modeling Neuronal Assemblies: Theory and Implementation. 1923-1974
- Junbin Gao
On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. 1975-1994 - Allan Kardec Barros, Andrzej Cichocki
Extraction of Specific Signals with Temporal Structure. 1995-2003
- Sybert H. Stroeve
Correlation Between Uncoupled Conductance-Based Integrate-and-Fire Neurons Due to Common and Synchronous Presynaptic Firing. 2005-2029 - Hiroyuki Nakahara
Attention Modulation of Neural Tuning Through Peak and Base Rate. 2031-2047 - Jochen Triesch, Christoph von der Malsburg:
Democratic Integration: Self-Organized Integration of Adaptive Cues. 2049-2074 - Daniel S. Rizzuto, Michael J. Kahana:
An Autoassociative Neural Network Model of Paired-Associate Learning. 2075-2092 - Paul Rodríguez:
Simple Recurrent Networks Learn Context-Free and Context-Sensitive Languages by Counting. 2093-2118 - Chih-Chung Chang, Chih-Jen Lin
Training nu-Support Vector Classifiers: Theory and Algorithms. 2119-2147 - Martijn A. R. Leisink, Hilbert J. Kappen:
A Tighter Bound for Graphical Models. 2149-2171
Volume 13, Number 10, October 2001
- Yair Weiss, William T. Freeman:
Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology. 2173-2200
- Masahiko Haruno, Daniel M. Wolpert
MOSAIC Model for Sensorimotor Learning and Control. 2201-2220 - Rajesh P. N. Rao
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning. 2221-2237 - Rajanikanth Vadigepalli
Analysis and Neuronal Modeling of the Nonlinear Characteristics of a Local Cardiac Reflex in the Rat. 2239-2271 - Michael G. Heinz, H. Steven Colburn, Laurel H. Carney
Evaluating Auditory Performance Limits: I. One-Parameter Discrimination Using a Computational Model for the Auditory Nerve. 2273-2316 - Michael G. Heinz, H. Steven Colburn, Laurel H. Carney
Evaluating Auditory Performance Limits: II. One-Parameter Discrimination with Random-Level Variation. 2317-2338 - Visa Koivunen, Mihai Enescu, Erkki Oja:
Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures. 2339-2357 - Christophe Andrieu, Nando de Freitas, Arnaud Doucet
Robust Full Bayesian Learning for Radial Basis Networks. 2359-2407
Volume 13, Number 11, November 2001
- William Bialek, Ilya Nemenman
Predictability, Complexity, and Learning. 2409-2463
- K. A. Lindsay, J. M. Ogden, J. R. Rosenberg:
Dendritic Subunits Determined by Dendritic Morphology. 2465-2476
- Thomas Natschläger, Wolfgang Maass:
Computing the Optimally Fitted Spike Train for a Synapse. 2477-2494 - Francisco de Borja Rodríguez Ortiz
Period Focusing Induced by Network Feedback in Populations of Noisy Integrate-and-Fire Neurons. 2495-2516 - Mark A. Girolami
A Variational Method for Learning Sparse and Overcomplete Representations. 2517-2532 - Yoram Baram:
Random Embedding Machines for Pattern Recognition. 2533-2548 - Mark Zlochin, Yoram Baram:
Manifold Stochastic Dynamics for Bayesian Learning. 2549-2572 - Erel Levine, Eytan Domany:
Resampling Method for Unsupervised Estimation of Cluster Validity. 2573-2593 - David S. Broomhead, Michael J. Kirby:
The Whitney Reduction Network: A Method for Computing Autoassociative Graphs. 2595-2616 - Siu-Yeung Cho, Tommy W. S. Chow:
Enhanced 3D Shape Recovery Using the Neural-Based Hybrid Reflectance Model. 2617-2637
Volume 13, Number 12, December 2001
- Anthony N. Burkitt, Graeme M. Clark:
Synchronization of the Neural Response to Noisy Periodic Synaptic Input. 2639-2672
- Laurisete dos Santos Camargo, Takashi Yoneyama
Specification of Training Sets and the Number of Hidden Neurons for Multilayer Perceptrons. 2673-2680
- Itay Gat, Naftali Tishby:
Spotting Neural Spike Patterns Using an Adversary Background Model. 2681-2708 - Richard Kempter, Wulfram Gerstner
Intrinsic Stabilization of Output Rates by Spike-Based Hebbian Learning. 2709-2741 - Ole Jensen
Information Transfer Between Rhythmically Coupled Networks: Reading the Hippocampal Phase Code. 2743-2761 - Ken-ichi Amemori
Gaussian Process Approach to Spiking Neurons for Inhomogeneous Poisson Inputs. 2763-2797 - Osamu Araki, Kazuyuki Aihara:
Dual Information Representation with Stable Firing Rates and Chaotic Spatiotemporal Spike Patterns in a Neural Network Model. 2799-2822 - Konrad P. Körding
Neurons with Two Sites of Synaptic Integration Learn Invariant Representations. 2823-2849 - Masaki Ishii, Itsuo Kumazawa:
Linear Constraints on Weight Representation for Generalized Learning of Multilayer Networks. 2851-2863 - Rudy Setiono:
Feedforward Neural Network Construction Using Cross Validation. 2865-2877
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