Neural Computation, Volume 19

Volume 19, Number 1, January 2007

• Alfonso Renart, Rubén Moreno-Bote, Xiao-Jing Wang, Néstor Parga:
  Mean-Driven and Fluctuation-Driven Persistent Activity in Recurrent Networks. 1-46
  
• Abigail Morrison, Sirko Straube, Hans Ekkehard Plesser, Markus Diesmann:
  Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations. 47-79
  
• Colin Molter, Utku Salihoglu, Hugues Bersini:
  The Road to Chaos by Time-Asymmetric Hebbian Learning in Recurrent Neural Networks. 80-110
  
• Mustafa C. Ozturk, Dongming Xu, José Carlos Príncipe:
  Analysis and Design of Echo State Networks. 111-138
  
• Edmund T. Rolls, Simon M. Stringer:
  Invariant Global Motion Recognition in the Dorsal Visual System: A Unifying Theory. 139-169
  
• John Porrill, Paul Dean:
  Recurrent Cerebellar Loops Simplify Adaptive Control of Redundant and Nonlinear Motor Systems. 170-193
  
• James V. Stone, P. E. Jupp:
  Free-Lunch Learning: Modeling Spontaneous Recovery of Memory. 194-217
  
• Yoshitatsu Matsuda, Kazunori Yamaguchi:
  Linear Multilayer ICA Generating Hierarchical Edge Detectors. 218-230
  
• Enrique Castillo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Carmen Castillo:
  Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition. 231-257
  
• Ping Zhong, Masao Fukushima:
  Second-Order Cone Programming Formulations for Robust Multiclass Classification. 258-282
  
• S. Sundararajan, Shirish Krishnaj Shevade, S. Sathiya Keerthi:
  Fast Generalized Cross-Validation Algorithm for Sparse Model Learning. 283-301
  

Volume 19, Number 2, February 2007

• Vladislav Volman, Eshel Ben-Jacob, Herbert Levine:
  The Astrocyte as a Gatekeeper of Synaptic Information Transfer. 303-326
  

• Kai M. Hynna, Kwabena Boahen:
  Thermodynamically Equivalent Silicon Models of Voltage-Dependent Ion Channels. 327-350
  
• Osamu Hoshino:
  Spatiotemporal Conversion of Auditory Information for Cochleotopic Mapping. 351-370
  
• Sander M. Bohte, Michael C. Mozer:
  Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity. 371-403
  
• Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan:
  Fast Population Coding. 404-441
  
• Rafal Bogacz, Kevin N. Gurney:
  The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions. 442-477
  
• Roberto C. Sotero, Nelson J. Trujillo-Barreto, Yasser Iturria-Medina, Felix Carbonell, Juan C. Jiménez:
  Realistically Coupled Neural Mass Models Can Generate EEG Rhythms. 478-512
  
• Inge Koch, Kanta Naito:
  Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component Analysis. 513-545
  
• Lei Xu:
  One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics. 546-569
  
• Xuyang Lou, Baotong Cui:
  Boundedness and Stability for Integrodifferential Equations Modeling Neural Field with Time Delay. 570-581
  

Volume 19, Number 3, March 2007

• Jonathan Z. Simon, Didier A. Depireux, David J. Klein, Jonathan B. Fritz, Shihab A. Shamma:
  Temporal Symmetry in Primary Auditory Cortex: Implications for Cortical Connectivity. 583-638
  

• Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner:
  Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution. 639-671
  
• Wilson Truccolo, John P. Donoghue:
  Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression. 672-705
  
• Ho Young Jeong, Boris S. Gutkin:
  Synchrony of Neuronal Oscillations Controlled by GABAergic Reversal Potentials. 706-729
  
• Jun Morimoto, Kenji Doya:
  Reinforcement Learning State Estimator. 730-756
  
• Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez:
  Training Recurrent Networks by Evolino. 757-779
  
• Raul Kompass:
  A Generalized Divergence Measure for Nonnegative Matrix Factorization. 780-791
  
• Wei Chu, S. Sathiya Keerthi:
  Support Vector Ordinal Regression. 792-815
  
• Hyunjung Shin, Sungzoon Cho:
  Neighborhood Property-Based Pattern Selection for Support Vector Machines. 816-855
  
• David J. Miller, Siddharth Pal:
  Transductive Methods for the Distributed Ensemble Classification Problem. 856-884
  

Volume 19, Number 4, April 2007

• Jochen Triesch:
  Synergies Between Intrinsic and Synaptic Plasticity Mechanisms. 885-909
  

• Anil K. Seth, Gerald M. Edelman:
  Distinguishing Causal Interactions in Neural Populations. 910-933
  
• Mads Dyrholm, Scott Makeig, Lars Kai Hansen:
  Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG. 934-955
  
• David R. C. Dominguez, Kostadin Koroutchev, Eduardo Serrano, Francisco de Borja Rodríguez Ortiz:
  Information and Topology in Attractor Neural Networks. 956-973
  
• Gregory R. Stiesberg, Marcelo Bussotti Reyes, Pablo Varona, Reynaldo D. Pinto, Ramón Huerta:
  Connection Topology Selection in Central Pattern Generators by Maximizing the Gain of Information. 974-993
  
• Tobias Blaschke, Tiziano Zito, Laurenz Wiskott:
  Independent Slow Feature Analysis and Nonlinear Blind Source Separation. 994-1021
  
• Richard E. Turner, Maneesh Sahani:
  A Maximum-Likelihood Interpretation for Slow Feature Analysis. 1022-1038
  
• Su Lee Goh, Danilo P. Mandic:
  An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks. 1039-1055
  
• Peter Tino:
  Equilibria of Iterative Softmax and Critical Temperatures for Intermittent Search in Self-Organizing Neural Networks. 1056-1081
  
• Liefeng Bo, Ling Wang, Licheng Jiao:
  Recursive Finite Newton Algorithm for Support Vector Regression in the Primal. 1082-1096
  
• Rasmus Kongsgaard Olsson, Kaare Brandt Petersen, Tue Lehn-Schiøler:
  State-Space Models: From the EM Algorithm to a Gradient Approach. 1097-1111
  
• Shinichi Nakajima, Sumio Watanabe:
  Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance. 1112-1153
  

Volume 19, Number 5, May 2007

• Olivier Chapelle:
  Training a Support Vector Machine in the Primal. 1155-1178
  
• H. P. Snippe, J. H. Van Hateren:
  Dynamics of Nonlinear Feedback Control. 1179-1214
  
• Peter F. Rowat:
  Interspike Interval Statistics in the Stochastic Hodgkin-Huxley Model: Coexistence of Gamma Frequency Bursts and Highly Irregular Firing. 1215-1250
  
• Jonathan Rubin, Kresimir Josic:
  The Firing of an Excitable Neuron in the Presence of Stochastic Trains of Strong Synaptic Inputs. 1251-1294
  
• Santiago Jaramillo, Barak A. Pearlmutter:
  Optimal Coding Predicts Attentional Modulation of Activity in Neural Systems. 1295-1312
  
• Udo Ernst, David Rotermund, Klaus Pawelzik:
  Efficient Computation Based on Stochastic Spikes. 1313-1343
  
• Jeffrey M. Beck, Alexandre Pouget:
  Exact Inferences in a Neural Implementation of a Hidden Markov Model. 1344-1361
  
• Peter A. Appleby, Terry Elliott:
  Multispike Interactions in a Stochastic Model of Spike-Timing-Dependent Plasticity. 1362-1399
  
• Zonghua Zhang, Nikolaus F. Troje:
  3D Periodic Human Motion Reconstruction from 2D Motion Sequences. 1400-1421
  
• Takahumi Oohori, Hidenori Naganuma, Kazuhisa Watanabe:
  A New Backpropagation Learning Algorithm for Layered Neural Networks with Nondifferentiable Units. 1422-1435
  

Volume 19, Number 6, June 2007

• Abigail Morrison, Ad Aertsen, Markus Diesmann:
  Spike-Timing-Dependent Plasticity in Balanced Random Networks. 1437-1467
  
• Razvan V. Florian:
  Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity. 1468-1502
  
• Hideaki Shimazaki, Shigeru Shinomoto:
  A Method for Selecting the Bin Size of a Time Histogram. 1503-1527
  
• Zhengdong Lu, Todd K. Leen:
  Penalized Probabilistic Clustering. 1528-1567
  
• Jimmy Or:
  Robustness of Connectionist Swimming Controllers Against Random Variation in Neural Connections. 1568-1588
  
• Youshen Xia, Mohamed S. Kamel:
  A Measurement Fusion Method for Nonlinear System Identification Using a Cooperative Learning Algorithm. 1589-1632
  
• Lacey Gunter, Ji Zhu:
  Efficient Computation and Model Selection for the Support Vector Regression. 1633-1655
  
• Feng Liu, Chai Quek, Geok See Ng:
  A Novel Generic Hebbian Ordering-Based Fuzzy Rule Base Reduction Approach to Mamdani Neuro-Fuzzy System. 1656-1680
  

Volume 19, Number 7, July 2007

• Jonathon Shlens, Matthew B. Kennel, Henry D. I. Abarbanel, E. J. Chichilnisky:
  Estimating Information Rates with Confidence Intervals in Neural Spike Trains. 1683-1719
  

• Ernst Niebur:
  Generation of Synthetic Spike Trains with Defined Pairwise Correlations. 1720-1738
  
• Daniele Marinazzo, Hilbert J. Kappen, Stan C. A. M. Gielen:
  Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses. 1739-1765
  
• Jeremy A. Miller, Garrett T. Kenyon:
  Extracting Number-Selective Responses from Coherent Oscillations in a Computer Model. 1766-1797
  
• Kenji Morita, Masato Okada, Kazuyuki Aihara:
  Selectivity and Stability via Dendritic Nonlinearity. 1798-1853
  
• Naoki Masuda, Masato Okada, Kazuyuki Aihara:
  Filtering of Spatial Bias and Noise Inputs by Spatially Structured Neural Networks. 1854-1870
  
• Christopher Johansson, Anders Lansner:
  Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model. 1871-1896
  
• Stephan Hasler, Heiko Wersing, Edgar Körner:
  Combining Reconstruction and Discrimination with Class-Specific Sparse Coding. 1897-1918
  
• Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang:
  SVDD-Based Pattern Denoising. 1919-1938
  
• Shay Cohen, Gideon Dror, Eytan Ruppin:
  Feature Selection via Coalitional Game Theory. 1939-1961
  
• Roberto Baragona, Francesco Battaglia:
  Outliers Detection in Multivariate Time Series by Independent Component Analysis. 1962-1984
  

Volume 19, Number 8, August 2007

• Thomas Nowotny, Attila Szücs, Rafael Levi, Allen I. Selverston:
  Models Wagging the Dog: Are Circuits Constructed with Disparate Parameters? 1985-2003
  

• Fei Sha, Yuanqing Lin, Lawrence K. Saul, Daniel D. Lee:
  Multiplicative Updates for Nonnegative Quadratic Programming. 2004-2031
  
• Cheng Ly, Daniel Tranchina:
  Critical Analysis of Dimension Reduction by a Moment Closure Method in a Population Density Approach to Neural Network Modeling. 2032-2092
  

• Thomas Burwick:
  Oscillatory Neural Networks with Self-Organized Segmentation of Overlapping Patterns. 2093-2123
  
• Jianfu Ma, Jianhong Wu:
  Multistability in Spiking Neuron Models of Delayed Recurrent Inhibitory Loops. 2124-2148
  
• Zhigang Zeng, Jun Wang:
  Analysis and Design of Associative Memories Based on Recurrent Neural Networks with Linear Saturation Activation Functions and Time-Varying Delays. 2149-2182
  
• Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata:
  Robust Loss Functions for Boosting. 2183-2244
  
• Dorit Baras, Ron Meir:
  Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule. 2245-2279
  

Volume 19, Number 9, September 2007

• R. Jacob Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwenberghs, Ralph Etienne-Cummings:
  A Multichip Neuromorphic System for Spike-Based Visual Information Processing. 2281-2300
  

• Joseph F. Murray, Kenneth Kreutz-Delgado:
  Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning. 2301-2352
  
• Carlos R. Cassanello, Vincent P. Ferrera:
  Visual Remapping by Vector Subtraction: Analysis of Multiplicative Gain Field Models. 2353-2386
  
• Alexander S. Klyubin, Daniel Polani, Chrystopher L. Nehaniv:
  Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop. 2387-2432
  
• Judith E. Dayhoff:
  Computational Properties of Networks of Synchronous Groups of Spiking Neurons. 2433-2467
  
• Kosuke Hamaguchi, Masato Okada, Kazuyuki Aihara:
  Variable Timescales of Repeated Spike Patterns in Synfire Chain with Mexican-Hat Connectivity. 2468-2491
  
• Christof Cebulla:
  Asymptotic Behavior and Synchronizability Characteristics of a Class of Recurrent Neural Networks. 2492-2514
  
• Takaaki Aoki, Toshio Aoyagi:
  Self-Organizing Maps with Asymmetric Neighborhood Function. 2515-2535
  
• Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum:
  Parametric Embedding for Class Visualization. 2536-2556
  
• Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun:
  MISEP Method for Postnonlinear Blind Source Separation. 2557-2578
  

Volume 19, Number 10, October 2007

• Chiara Bartolozzi, Giacomo Indiveri:
  Synaptic Dynamics in Analog VLSI. 2581-2603
  

• Romain Brette:
  Exact Simulation of Integrate-and-Fire Models with Exponential Currents. 2604-2609
  

• Alicia B. Abrams, James M. Hillis, David H. Brainard:
  The Relation Between Color Discrimination and Color Constancy: When Is Optimal Adaptation Task Dependent? 2610-2637
  
• Burak Güçlü:
  Deviation from Weber's Law in the Non-Pacinian I Tactile Channel: A Psychophysical and Simulation Study of Intensity Discrimination. 2638-2664
  
• Xu Miao, Rajesh P. N. Rao:
  Learning the Lie Groups of Visual Invariance. 2665-2693
  
• Bernd Porr, Florentin Wörgötter:
  Learning with "Relevance": Using a Third Factor to Stabilize Hebbian Learning. 2694-2719
  
• Takaaki Aoki, Toshio Aoyagi:
  Synchrony-Induced Switching Behavior of Spike Pattern Attractors Created by Spike-Timing-Dependent Plasticity. 2720-2738
  
• Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro, Hilbert J. Kappen:
  Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks. 2739-2755
  
• Chih-Jen Lin:
  Projected Gradient Methods for Nonnegative Matrix Factorization. 2756-2779
  
• Shun-ichi Amari:
  Integration of Stochastic Models by Minimizing alpha-Divergence. 2780-2796
  
• David H. Goldberg, Andreas G. Andreou:
  Distortion of Neural Signals by Spike Coding. 2797-2839
  
• Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie:
  Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks. 2840-2864
  

Volume 19, Number 11, November 2007

• Bardia F. Behabadi, Bartlett W. Mel:
  J4 at Sweet 16: A New Wrinkle? 2865-2870
  
• Heng Lian:
  On the Consistency of Bayesian Function Approximation Using Step Functions. 2871-2880
  

• Joseph M. Brader, Walter Senn, Stefano Fusi:
  Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics. 2881-2912
  
• Marcelo A. Montemurro, Riccardo Senatore, Stefano Panzeri:
  Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques. 2913-2957
  
• Eilif Mueller, Lars Buesing, Johannes Schemmel, Karlheinz Meier:
  Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories. 2958-3010
  
• Andreas Kaltenbrunner, Vicenç Gómez, Vicente López:
  Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons. 3011-3050
  
• Hajime Fujita, Shin Ishii:
  Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation. 3051-3087
  
• Hyun-Chul Kim, Jaewook Lee:
  Clustering Based on Gaussian Processes. 3088-3107
  
• André Grüning:
  Elman Backpropagation as Reinforcement for Simple Recurrent Networks. 3108-3131
  

Volume 19, Number 12, December 2007

• Sungho Hong, Blaise Agüera y Arcas, Adrienne L. Fairhall:
  Single Neuron Computation: From Dynamical System to Feature Detector. 3133-3172
  
• Mark C. Fuhs, David S. Touretzky:
  Context Learning in the Rodent Hippocampus. 3173-3215
  

• Mark D. Humphries, Kevin N. Gurney:
  Solution Methods for a New Class of Simple Model Neurons. 3216-3225
  
• Arnaud Tonnelier, Hana Belmabrouk, Dominique Martinez:
  Event-Driven Simulations of Nonlinear Integrate-and-Fire Neurons. 3226-3238
  

• Maoz Shamir, Kamal Sen, H. Steven Colburn:
  Temporal Coding of Time-Varying Stimuli. 3239-3261
  
• Hédi Soula, Carson C. Chow:
  Stochastic Dynamics of a Finite-Size Spiking Neural Network. 3262-3292
  
• Philipp Wolfrum, Christoph von der Malsburg:
  What Is the Optimal Architecture for Visual Information Routing? 3293-3309
  
• Osamu Hoshino:
  Enhanced Sound Perception by Widespread-Onset Neuronal Responses in Auditory Cortex. 3310-3334
  
• Yoshiyuki Sato, Taro Toyoizumi, Kazuyuki Aihara:
  Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli. 3335-3355
  
• Yan Xiong, Wei Wu, Xidai Kang, Chao Zhang:
  Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update. 3356-3368
  
• Kiruthika Ramanathan, Sheng Uei Guan:
  Multiorder Neurons for Evolutionary Higher-Order Clustering and Growth. 3369-3391
  
• Kuang-Hui Lin, Chih-Wen Shih:
  Multiple Almost Periodic Solutions in Nonautonomous Delayed Neural Networks. 3392-3420