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ORCIDNeural Computation, Volume 14
Volume 14, Number 1, January 2002
- Mladen I. Glavinovic:
Mechanisms Shaping Fast Excitatory Postsynaptic Currents in the Central Nervous System. 1-19
- Marco Saerens, Patrice Latinne, Christine Decaestecker
:
Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure. 21-41
- Sonja Grün, Markus Diesmann, Ad Aertsen:
Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance. 43-80 - Sonja Grün, Markus Diesmann, Ad Aertsen:
Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data. 81-119 - Robert Gütig, Ad Aertsen, Stefan Rotter:
Statistical Significance of Coincident Spikes: Count-Based Versus Rate-Based Statistics. 121-153 - Stefan D. Wilke, Christian W. Eurich:
Representational Accuracy of Stochastic Neural Populations. 155-189 - Nikos Vlassis, Yoichi Motomura, Ben J. A. Kröse:
Supervised Dimension Reduction of Intrinsically Low-Dimensional Data. 191-215 - Janne Sinkkonen, Samuel Kaski:
Clustering Based on Conditional Distributions in an Auxiliary Space. 217-239
Volume 14, Number 2, February 2002
- Michael Schmitt:
On the Complexity of Computing and Learning with Multiplicative Neural Networks. 241-301
- Chuangyin Dang, Lei Xu:
A Lagrange Multiplier and Hopfield-Type Barrier Function Method for the Traveling Salesman Problem. 303-324 - Emery N. Brown, Riccardo Barbieri, Valérie Ventura, Robert E. Kass, Loren M. Frank:
The Time-Rescaling Theorem and Its Application to Neural Spike Train Data Analysis. 325-346
- Amit Manwani, Peter N. Steinmetz, Christof Koch:
The Impact of Spike Timing Variability on the Signal-Encoding Performance of Neural Spiking Models. 347-367 - Carsten Meyer, Carl van Vreeswijk:
Temporal Correlations in Stochastic Networks of Spiking Neurons. 369-404 - Michele Bezzi, Inés Samengo, Stefan Leutgeb, Sheri J. Mizumori:
Measuring Information Spatial Densities. 405-420 - Magnus Rattray:
Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis. 421-435 - Alessio Plebe, Angelo Marcello Anile:
A Neural-Network-Based Approach to the Double Traveling Salesman Problem. 437-471
Volume 14, Number 3, March 2002
- Paul C. Bressloff, Jack D. Cowan, Martin Golubitsky, Peter J. Thomas, Matthew C. Wiener:
What Geometric Visual Hallucinations Tell Us about the Visual Cortex. 473-491
- Paul C. Bressloff, Jack D. Cowan:
An Amplitude Equation Approach to Contextual Effects in Visual Cortex. 493-525 - Allan Gottschalk:
Derivation of the Visual Contrast Response Function by Maximizing Information Rate. 527-542 - Norberto M. Grzywacz, Rosario M. Balboa:
A Bayesian Framework for Sensory Adaptation. 543-559 - Adam L. Taylor, Garrison W. Cottrell, William B. Kristan Jr.:
Analysis of Oscillations in a Reciprocally Inhibitory Network with Synaptic Depression. 561-581 - Walter Senn, Martin Schneider, Berthold Ruf:
Activity-Dependent Development of Axonal and Dendritic Delays, or, Why Synaptic Transmission Should Be Unreliable. 583-619 - Jianfeng Feng, Guibin Li:
Impact of Geometrical Structures on the Output of Neuronal Models: A Theoretical and Numerical Analysis. 621-640 - Lehel Csató, Manfred Opper:
Sparse On-Line Gaussian Processes. 641-668 - Mark A. Girolami:
Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem. 669-688 - Jiann-Ming Wu:
Natural Discriminant Analysis Using Interactive Potts Models. 689-713
Volume 14, Number 4, April 2002
- Laurenz Wiskott, Terrence J. Sejnowski:
Slow Feature Analysis: Unsupervised Learning of Invariances. 715-770
- Inés Samengo:
Information Loss in an Optimal Maximum Likelihood Decoding. 771-779 - Khashayar Pakdaman:
The Reliability of the Stochastic Active Rotator. 781-792
- Michael E. Hasselmo, Clara Bodelón, Bradley P. Wyble:
A Proposed Function for Hippocampal Theta Rhythm: Separate Phases of Encoding and Retrieval Enhance Reversal of Prior Learning. 793-817 - Hiroyuki Nakahara, Shun-ichi Amari, Okihide Hikosaka:
Self-Organization in the Basal Ganglia with Modulation of Reinforcement Signals. 819-844 - Pierre Baraduc, Emmanuel Guigon:
Population Computation of Vectorial Transformations. 845-871 - Gail A. Carpenter, Boriana L. Milenova:
Redistribution of Synaptic Efficacy Supports Stable Pattern Learning in Neural Networks. 873-888 - Pedro A. d. F. R. Højen-Sørensen, Ole Winther, Lars Kai Hansen:
Mean-Field Approaches to Independent Component Analysis. 889-918 - Michael Schmitt:
Neural Networks with Local Receptive Fields and Superlinear VC Dimension. 919-956
Volume 14, Number 5, May 2002
- Alex Casti, Ahmet Omurtag, Andrew T. Sornborger, Ehud Kaplan, Bruce W. Knight, Jonathan D. Victor, L. Sirovich:
A Population Study of Integrate-and-Fire-or-Burst Neurons. 957-986
- Werner M. Kistler, Wulfram Gerstner:
Stable Propagation of Activity Pulses in Populations of Spiking Neurons. 987-997
- Si Wu, Shun-ichi Amari, Hiroyuki Nakahara:
Population Coding and Decoding in a Neural Field: A Computational Study. 999-1026 - Sorinel Adrian Oprisan, Carmen C. Canavier:
The Influence of Limit Cycle Topology on the Phase Resetting Curve. 1027-1057 - Philip R. Van Loocke:
Fields as Limit Functions of Stochastic Discrimination and Their Adaptability. 1059-1070 - Dan Roth, Ming-Hsuan Yang, Narendra Ahuja:
Learning to Recognize Three-Dimensional Objects. 1071-1103 - Ronan Collobert, Samy Bengio, Yoshua Bengio:
A Parallel Mixture of SVMs for Very Large Scale Problems. 1105-1114 - Tony Van Gestel, Johan A. K. Suykens, Gert R. G. Lanckriet, Annemie Lambrechts, Bart De Moor, Joos Vandewalle:
Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis. 1115-1147 - Donald E. Duckro, Dennis W. Quinn, Samuel J. Gardner III:
Neural Network Pruning with Tukey-Kramer Multiple Comparison Procedure. 1149-1168 - Christopher K. I. Williams, Felix V. Agakov:
Products of Gaussians and Probabilistic Minor Component Analysis. 1169-1182 - Ingo Galleske, Juan Castellanos:
Optimization of the Kernel Functions in a Probabilistic Neural Network Analyzing the Local Pattern Distribution. 1183-1194 - Douglas L. T. Rohde:
Methods for Binary Multidimensional Scaling. 1195-1232
Volume 14, Number 6, June 2002
- Emanuel Todorov:
Cosine Tuning Minimizes Motor Errors. 1233-1260
- Akihiro Minagawa, Norio Tagawa, Toshiyuki Tanaka:
SMEM Algorithm Is Not Fully Compatible with Maximum-Likelihood Framework. 1261-1266 - Shuo-Peng Liao, Hsuan-Tien Lin, Chih-Jen Lin:
A Note on the Decomposition Methods for Support Vector Regression. 1267-1281
- Ingrid Y. Y. Koh, W. Brent Lindquist, Karen Zito, Esther A. Nimchinsky, Karel Svoboda:
An Image Analysis Algorithm for Dendritic Spines. 1283-1310 - Terry Elliott, Nigel Shadbolt:
Multiplicative Synaptic Normalization and a Nonlinear Hebb Rule Underlie a Neurotrophic Model of Competitive Synaptic Plasticity. 1311-1322 - Susanne Schreiber, Christian K. Machens, Andreas V. M. Herz, Simon B. Laughlin:
Energy-Efficient Coding with Discrete Stochastic Events. 1323-1346 - Kenji Doya, Kazuyuki Samejima, Ken-ichi Katagiri, Mitsuo Kawato:
Multiple Model-Based Reinforcement Learning. 1347-1369 - Jenny C. A. Read:
A Bayesian Approach to the Stereo Correspondence Problem. 1371-1392 - Peter Sollich, Anason S. Halees:
Learning Curves for Gaussian Process Regression: Approximations and Bounds. 1393-1428 - Enrique F. Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos:
A Global Optimum Approach for One-Layer Neural Networks. 1429-1449 - Tommi Kärkkäinen:
MLP in Layer-Wise Form with Applications to Weight Decay. 1451-1480 - Gaétan Monari, Gérard Dreyfus:
Local Overfitting Control via Leverages. 1481-1506
Volume 14, Number 7, July 2002
- Javier R. Movellan, Paul Mineiro, Ruth J. Williams:
A Monte Carlo EM Approach for Partially Observable Diffusion Processes: Theory and Applications to Neural Networks. 1507-1544
- Miguel Á. Carreira-Perpiñán, Geoffrey J. Goodhill:
Are Visual Cortex Maps Optimized for Coverage? 1545-1560 - Marc M. Van Hulle:
Kernel-Based Topographic Map Formation by Local Density Modeling. 1561-1573
- Relly Brandman, Mark E. Nelson:
A Simple Model of Long-Term Spike Train Regularization. 1575-1597 - Naoki Masuda, Kazuyuki Aihara:
Spatiotemporal Spike Encoding of a Continuous External Signal. 1599-1628 - Paul H. E. Tiesinga, Jean-Marc Fellous, Terrence J. Sejnowski:
Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains. 1629-1650 - Daniel Cremers, Andreas V. M. Herz:
Traveling Waves of Excitation in Neural Field Models: Equivalence of Rate Descriptions and Integrate-and-Fire Dynamics. 1651-1667 - Richard H. R. Hahnloser, Rodney J. Douglas, Klaus Hepp:
Attentional Recruitment of Inter-Areal Recurrent Networks for Selective Gain Control. 1669-1689 - Alan L. Yuille:
CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies: Convergent Alternatives to Belief Propagation. 1691-1722 - Nicol N. Schraudolph:
Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent. 1723-1738 - Antony Browne:
Representation and Extrapolation in Multilayer Perceptrons. 1739-1754 - Robert M. French, Nick Chater:
Using Noise to Compute Error Surfaces in Connectionist Networks: A Novel Means of Reducing Catastrophic Forgetting. 1755-1769
Volume 14, Number 8, August 2002
- Geoffrey E. Hinton:
Training Products of Experts by Minimizing Contrastive Divergence. 1771-1800
- Thomas Wennekers:
Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models. 1801-1825 - Akaysha C. Tang, Barak A. Pearlmutter, Natalie A. Malaszenko, Dan B. Phung, Bethany C. Reeb:
Independent Components of Magnetoencephalography: Localization. 1827-1858 - Mihoko Minami, Shinto Eguchi:
Robust Blind Source Separation by Beta Divergence. 1859-1886 - Marc M. Van Hulle:
Joint Entropy Maximization in Kernel-Based Topographic Maps. 1887-1906 - Alex Aussem:
Sufficient Conditions for Error Backflow Convergence in Dynamical Recurrent Neural Networks. 1907-1927 - James M. Coughlan, Alan L. Yuille:
Bayesian A* Tree Search with Expected O(N) Node Expansions: Applications to Road Tracking. 1929-1958 - Chih-Chung Chang, Chih-Jen Lin:
Training v -Support Vector Regression: Theory and Algorithms. 1959-1977 - Katsuyuki Hagiwara:
On the Problem in Model Selection of Neural Network Regression in Overrealizable Scenario. 1979-2002
Volume 14, Number 9, September 2002
- Rahul Sarpeshkar, Micah G. O'Halloran:
Scalable Hybrid Computation with Spikes. 2003-2038
- Jürgen Schmidhuber, Felix A. Gers, Douglas Eck:
Learning Nonregular Languages: A Comparison of Simple Recurrent Networks and LSTM. 2039-2041 - Boonyanit Mathayomchan, Randall D. Beer:
Center-Crossing Recurrent Neural Networks for the Evolution of Rhythmic Behavior. 2043-2051 - Nicholas V. Swindale, Doron Shoham, Amiram Grinvald, Tobias Bonhoeffer, Mark Hübener:
Reply to Carreira-Perpiñán and Goodhill. 2053-2056
- Nicolas Fourcaud, Nicolas Brunel:
Dynamics of the Firing Probability of Noisy Integrate-and-Fire Neurons. 2057-2110 - Emilio Salinas, Terrence J. Sejnowski:
Integrate-and-Fire Neurons Driven by Correlated Stochastic Input. 2111-2155 - Michael W. Spratling, M. H. Johnson:
Preintegration Lateral Inhibition Enhances Unsupervised Learning. 2157-2179 - Mattias F. Karlsson, John W. C. Robinson:
On Optimality in Auditory Information Processing. 2181-2200 - Nestor Caticha, J. E. Palo Tejada, Doron Lancet, Eytan Domany:
Computational Capacity of an Odorant Discriminator: The Linear Separability of Curves. 2201-2220 - Michalis K. Titsias, Aristidis Likas:
Mixture of Experts Classification Using a Hierarchical Mixture Model. 2221-2244 - Stephen Jose Hanson, Michiro Negishi:
On the Emergence of Rules in Neural Networks. 2245-2268
Volume 14, Number 10, October 2002
- Hiroyuki Nakahara, Shun-ichi Amari:
Information-Geometric Measure for Neural Spikes. 2269-2316
- Matthias Bethge, David Rotermund, Klaus Pawelzik:
Optimal Short-Term Population Coding: When Fisher Information Fails. 2317-2351 - Terry Elliott, Jörg Kramer:
Coupling an aVLSI Neuromorphic Vision Chip to a Neurotrophic Model of Synaptic Plasticity: The Development of Topography. 2353-2370 - Silvia Scarpetta, Zhaoping Li, John A. Hertz:
Hebbian Imprinting and Retrieval in Oscillatory Neural Networks. 2371-2396 - Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller:
A New Discriminative Kernel from Probabilistic Models. 2397-2414 - Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner:
Factorial Hidden Markov Models and the Generalized Backfitting Algorithm. 2415-2437 - Aki Vehtari, Jouko Lampinen:
Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities. 2439-2468 - Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori:
Robust Regression with Asymmetric Heavy-Tail Noise Distributions. 2469-2496 - Paul E. Utgoff, David J. Stracuzzi:
Many-Layered Learning. 2497-2529
Volume 14, Number 11, November 2002
- Wolfgang Maass, Thomas Natschläger, Henry Markram:
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations. 2531-2560
- Andrew D. Back, Tianping Chen:
Universal Approximation of Multiple Nonlinear Operators by Neural Networks. 2561-2566
- Nathaniel D. Daw, David S. Touretzky:
Long-Term Reward Prediction in TD Models of the Dopamine System. 2567-2583 - Simon M. Stringer, Edmund T. Rolls:
Invariant Object Recognition in the Visual System with Novel Views of 3D Objects. 2585-2596 - Werner M. Kistler, Chris I. De Zeeuw:
Dynamical Working Memory and Timed Responses: The Role of Reverberating Loops in the Olivo-Cerebellar System. 2597-2626 - Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung:
Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition. 2627-2646 - Harri Valpola, Juha Karhunen:
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models. 2647-2692 - Danilo P. Mandic:
Data-Reusing Recurrent Neural Adaptive Filters. 2693-2707 - Jirí Síma:
Training a Single Sigmoidal Neuron Is Hard. 2709-2728 - P. S. Sastry, M. Magesh, K. P. Unnikrishnan:
Two Timescale Analysis of the Alopex Algorithm for Optimization. 2729-2750 - Siu-Yeung Cho, Tommy W. S. Chow:
A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method. 2751-2789
Volume 14, Number 12, December 2002
- Zhe Chen, Simon Haykin:
On Different Facets of Regularization Theory. 2791-2846
- Simone G. O. Fiori:
Notes on Bell-Sejnowski PDF-Matching Neuron. 2847-2856
- Angela J. Yu, Martin A. Giese, Tomaso A. Poggio:
Biophysiologically Plausible Implementations of the Maximum Operation. 2857-2881 - Narihisa Matsumoto, Masato Okada:
Self-Regulation Mechanism of Temporally Asymmetric Hebbian Plasticity. 2883-2902 - Lovorka Pantic, Joaquín J. Torres, Hilbert J. Kappen, Stan C. A. M. Gielen:
Associative Memory with Dynamic Synapses. 2903-2923 - Garrett B. Stanley:
Adaptive Spatiotemporal Receptive Field Estimation in the Visual Pathway. 2925-2946 - Tianping Chen, Wenlian Lu, Shun-ichi Amari:
Global Convergence Rate of Recurrently Connected Neural Networks. 2947-2957 - Nihat Ay:
Locality of Global Stochastic Interaction in Directed Acyclic Networks. 2959-2980 - Masahiro Kimura:
On Unique Representations of Certain Dynamical Systems Produced by Continuous-Time Recurrent Neural Networks. 2981-2996 - Michael Schmitt:
Descartes' Rule of Signs for Radial Basis Function Neural Networks. 2997-3011 - Tong Zhang:
Approximation Bounds for Some Sparse Kernel Regression Algorithms. 3013-3042
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