Journal: Neural Computation

Volume 19, Issue 9

2281 -- 2300R. Jacob Vogelstein, Udayan Mallik, Eugenio Culurciello, Gert Cauwenberghs, Ralph Etienne-Cummings. A Multichip Neuromorphic System for Spike-Based Visual Information Processing
2301 -- 2352Joseph F. Murray, Kenneth Kreutz-Delgado. Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
2353 -- 2386Carlos R. Cassanello, Vincent P. Ferrera. Visual Remapping by Vector Subtraction: Analysis of Multiplicative Gain Field Models
2387 -- 2432Alexander S. Klyubin, Daniel Polani, Chrystopher L. Nehaniv. Representations of Space and Time in the Maximization of Information Flow in the Perception-Action Loop
2433 -- 2467Judith E. Dayhoff. Computational Properties of Networks of Synchronous Groups of Spiking Neurons
2468 -- 2491Kosuke Hamaguchi, Masato Okada, Kazuyuki Aihara. Variable Timescales of Repeated Spike Patterns in Synfire Chain with Mexican-Hat Connectivity
2492 -- 2514Christof Cebulla. Asymptotic Behavior and Synchronizability Characteristics of a Class of Recurrent Neural Networks
2515 -- 2535Takaaki Aoki, Toshio Aoyagi. Self-Organizing Maps with Asymmetric Neighborhood Function
2536 -- 2556Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean Stromsten, Thomas L. Griffiths, Joshua B. Tenenbaum. Parametric Embedding for Class Visualization
2557 -- 2578Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun. MISEP Method for Postnonlinear Blind Source Separation

Volume 19, Issue 8

1985 -- 2003Thomas Nowotny, Attila Szücs, Rafael Levi, Allen I. Selverston. Models Wagging the Dog: Are Circuits Constructed with Disparate Parameters?
2004 -- 2031Fei Sha, Yuanqing Lin, Lawrence K. Saul, Daniel D. Lee. Multiplicative Updates for Nonnegative Quadratic Programming
2032 -- 2092Cheng Ly, Daniel Tranchina. Critical Analysis of Dimension Reduction by a Moment Closure Method in a Population Density Approach to Neural Network Modeling
2093 -- 2123Thomas Burwick. Oscillatory Neural Networks with Self-Organized Segmentation of Overlapping Patterns
2124 -- 2148Jianfu Ma, Jianhong Wu. Multistability in Spiking Neuron Models of Delayed Recurrent Inhibitory Loops
2149 -- 2182Zhigang Zeng, Jun Wang. Analysis and Design of Associative Memories Based on Recurrent Neural Networks with Linear Saturation Activation Functions and Time-Varying Delays
2183 -- 2244Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata. Robust Loss Functions for Boosting
2245 -- 2279Dorit Baras, Ron Meir. Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule

Volume 19, Issue 7

1683 -- 1719Jonathon Shlens, Matthew B. Kennel, Henry D. I. Abarbanel, E. J. Chichilnisky. Estimating Information Rates with Confidence Intervals in Neural Spike Trains
1720 -- 1738Ernst Niebur. Generation of Synthetic Spike Trains with Defined Pairwise Correlations
1739 -- 1765Daniele Marinazzo, Hilbert J. Kappen, Stan C. A. M. Gielen. Input-Driven Oscillations in Networks with Excitatory and Inhibitory Neurons with Dynamic Synapses
1766 -- 1797Jeremy A. Miller, Garrett T. Kenyon. Extracting Number-Selective Responses from Coherent Oscillations in a Computer Model
1798 -- 1853Kenji Morita, Masato Okada, Kazuyuki Aihara. Selectivity and Stability via Dendritic Nonlinearity
1854 -- 1870Naoki Masuda, Masato Okada, Kazuyuki Aihara. Filtering of Spatial Bias and Noise Inputs by Spatially Structured Neural Networks
1871 -- 1896Christopher Johansson, Anders Lansner. Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model
1897 -- 1918Stephan Hasler, Heiko Wersing, Edgar Körner. Combining Reconstruction and Discrimination with Class-Specific Sparse Coding
1919 -- 1938Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang. SVDD-Based Pattern Denoising
1939 -- 1961Shay Cohen, Gideon Dror, Eytan Ruppin. Feature Selection via Coalitional Game Theory
1962 -- 1984Roberto Baragona, Francesco Battaglia. Outliers Detection in Multivariate Time Series by Independent Component Analysis

Volume 19, Issue 6

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

Volume 19, Issue 5

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

Volume 19, Issue 4

885 -- 909Jochen Triesch. Synergies Between Intrinsic and Synaptic Plasticity Mechanisms
910 -- 933Anil K. Seth, Gerald M. Edelman. Distinguishing Causal Interactions in Neural Populations
934 -- 955Mads Dyrholm, Scott Makeig, Lars Kai Hansen. Model Selection for Convolutive ICA with an Application to Spatiotemporal Analysis of EEG
956 -- 973David R. C. Dominguez, Kostadin Koroutchev, Eduardo Serrano, Francisco de Borja Rodríguez Ortiz. Information and Topology in Attractor Neural Networks
974 -- 993Gregory 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
994 -- 1021Tobias Blaschke, Tiziano Zito, Laurenz Wiskott. Independent Slow Feature Analysis and Nonlinear Blind Source Separation
1022 -- 1038Richard E. Turner, Maneesh Sahani. A Maximum-Likelihood Interpretation for Slow Feature Analysis
1039 -- 1055Su Lee Goh, Danilo P. Mandic. An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks
1056 -- 1081Peter Tino. Equilibria of Iterative Softmax and Critical Temperatures for Intermittent Search in Self-Organizing Neural Networks
1082 -- 1096Liefeng Bo, Ling Wang, Licheng Jiao. Recursive Finite Newton Algorithm for Support Vector Regression in the Primal
1097 -- 1111Rasmus Kongsgaard Olsson, Kaare Brandt Petersen, Tue Lehn-Schiøler. State-Space Models: From the EM Algorithm to a Gradient Approach
1112 -- 1153Shinichi Nakajima, Sumio Watanabe. Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance

Volume 19, Issue 3

583 -- 638Jonathan Z. Simon, Didier A. Depireux, David J. Klein, Jonathan B. Fritz, Shihab A. Shamma. Temporal Symmetry in Primary Auditory Cortex: Implications for Cortical Connectivity
639 -- 671Taro Toyoizumi, Jean-Pascal Pfister, Kazuyuki Aihara, Wulfram Gerstner. Optimality Model of Unsupervised Spike-Timing-Dependent Plasticity: Synaptic Memory and Weight Distribution
672 -- 705Wilson Truccolo, John P. Donoghue. Nonparametric Modeling of Neural Point Processes via Stochastic Gradient Boosting Regression
706 -- 729Ho Young Jeong, Boris S. Gutkin. Synchrony of Neuronal Oscillations Controlled by GABAergic Reversal Potentials
730 -- 756Jun Morimoto, Kenji Doya. Reinforcement Learning State Estimator
757 -- 779Jürgen Schmidhuber, Daan Wierstra, Matteo Gagliolo, Faustino J. Gomez. Training Recurrent Networks by Evolino
780 -- 791Raul Kompass. A Generalized Divergence Measure for Nonnegative Matrix Factorization
792 -- 815Wei Chu, S. Sathiya Keerthi. Support Vector Ordinal Regression
816 -- 855Hyunjung Shin, Sungzoon Cho. Neighborhood Property-Based Pattern Selection for Support Vector Machines
856 -- 884David J. Miller, Siddharth Pal. Transductive Methods for the Distributed Ensemble Classification Problem

Volume 19, Issue 2

303 -- 326Vladislav Volman, Eshel Ben-Jacob, Herbert Levine. The Astrocyte as a Gatekeeper of Synaptic Information Transfer
327 -- 350Kai M. Hynna, Kwabena Boahen. Thermodynamically Equivalent Silicon Models of Voltage-Dependent Ion Channels
351 -- 370Osamu Hoshino. Spatiotemporal Conversion of Auditory Information for Cochleotopic Mapping
371 -- 403Sander M. Bohte, Michael C. Mozer. Reducing the Variability of Neural Responses: A Computational Theory of Spike-Timing-Dependent Plasticity
404 -- 441Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan. Fast Population Coding
442 -- 477Rafal Bogacz, Kevin N. Gurney. The Basal Ganglia and Cortex Implement Optimal Decision Making Between Alternative Actions
478 -- 512Roberto C. Sotero, Nelson J. Trujillo-Barreto, Yasser Iturria-Medina, Felix Carbonell, Juan C. Jiménez. Realistically Coupled Neural Mass Models Can Generate EEG Rhythms
513 -- 545Inge Koch, Kanta Naito. Dimension Selection for Feature Selection and Dimension Reduction with Principal and Independent Component Analysis
546 -- 569Lei Xu. One-Bit-Matching Theorem for ICA, Convex-Concave Programming on Polyhedral Set, and Distribution Approximation for Combinatorics
570 -- 581Xuyang Lou, Baotong Cui. Boundedness and Stability for Integrodifferential Equations Modeling Neural Field with Time Delay

Volume 19, Issue 12

3133 -- 3172Sungho Hong, Blaise Agüera y Arcas, Adrienne L. Fairhall. Single Neuron Computation: From Dynamical System to Feature Detector
3173 -- 3215Mark C. Fuhs, David S. Touretzky. Context Learning in the Rodent Hippocampus
3216 -- 3225Mark D. Humphries, Kevin N. Gurney. Solution Methods for a New Class of Simple Model Neurons
3226 -- 3238Arnaud Tonnelier, Hana Belmabrouk, Dominique Martinez. Event-Driven Simulations of Nonlinear Integrate-and-Fire Neurons
3239 -- 3261Maoz Shamir, Kamal Sen, H. Steven Colburn. Temporal Coding of Time-Varying Stimuli
3262 -- 3292Hédi Soula, Carson C. Chow. Stochastic Dynamics of a Finite-Size Spiking Neural Network
3293 -- 3309Philipp Wolfrum, Christoph von der Malsburg. What Is the Optimal Architecture for Visual Information Routing?
3310 -- 3334Osamu Hoshino. Enhanced Sound Perception by Widespread-Onset Neuronal Responses in Auditory Cortex
3335 -- 3355Yoshiyuki Sato, Taro Toyoizumi, Kazuyuki Aihara. Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli
3356 -- 3368Yan Xiong, Wei Wu, Xidai Kang, Chao Zhang. Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update
3369 -- 3391Kiruthika Ramanathan, Sheng Uei Guan. Multiorder Neurons for Evolutionary Higher-Order Clustering and Growth
3392 -- 3420Kuang-Hui Lin, Chih-Wen Shih. Multiple Almost Periodic Solutions in Nonautonomous Delayed Neural Networks

Volume 19, Issue 11

2865 -- 2870Bardia F. Behabadi, Bartlett W. Mel. J4 at Sweet 16: A New Wrinkle?
2871 -- 2880Heng Lian. On the Consistency of Bayesian Function Approximation Using Step Functions
2881 -- 2912Joseph M. Brader, Walter Senn, Stefano Fusi. Learning Real-World Stimuli in a Neural Network with Spike-Driven Synaptic Dynamics
2913 -- 2957Marcelo A. Montemurro, Riccardo Senatore, Stefano Panzeri. Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques
2958 -- 3010Eilif Mueller, Lars Buesing, Johannes Schemmel, Karlheinz Meier. Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
3011 -- 3050Andreas Kaltenbrunner, Vicenç Gómez, Vicente López. Phase Transition and Hysteresis in an Ensemble of Stochastic Spiking Neurons
3051 -- 3087Hajime Fujita, Shin Ishii. Model-Based Reinforcement Learning for Partially Observable Games with Sampling-Based State Estimation
3088 -- 3107Hyun-Chul Kim, Jaewook Lee. Clustering Based on Gaussian Processes
3108 -- 3131André Grüning. Elman Backpropagation as Reinforcement for Simple Recurrent Networks

Volume 19, Issue 10

2581 -- 2603Chiara Bartolozzi, Giacomo Indiveri. Synaptic Dynamics in Analog VLSI
2604 -- 2609Romain Brette. Exact Simulation of Integrate-and-Fire Models with Exponential Currents
2610 -- 2637Alicia B. Abrams, James M. Hillis, David H. Brainard. The Relation Between Color Discrimination and Color Constancy: When Is Optimal Adaptation Task Dependent?
2638 -- 2664Burak Güçlü. Deviation from Weber s Law in the Non-Pacinian I Tactile Channel: A Psychophysical and Simulation Study of Intensity Discrimination
2665 -- 2693Xu Miao, Rajesh P. N. Rao. Learning the Lie Groups of Visual Invariance
2694 -- 2719Bernd Porr, Florentin Wörgötter. Learning with Relevance : Using a Third Factor to Stabilize Hebbian Learning
2720 -- 2738Takaaki Aoki, Toshio Aoyagi. Synchrony-Induced Switching Behavior of Spike Pattern Attractors Created by Spike-Timing-Dependent Plasticity
2739 -- 2755Joaquín J. Torres, Jesús M. Cortés, Joaquín Marro, Hilbert J. Kappen. Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks
2756 -- 2779Chih-Jen Lin. Projected Gradient Methods for Nonnegative Matrix Factorization
2780 -- 2796Shun-ichi Amari. Integration of Stochastic Models by Minimizing ::::alpha::::-Divergence
2797 -- 2839David H. Goldberg, Andreas G. Andreou. Distortion of Neural Signals by Spike Coding
2840 -- 2864Mingyu 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

Volume 19, Issue 1

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