Neural Computation, Volume 24

Volume 24, Number 1, January 2012

• Samuel Gershman, Edward Vul, Joshua B. Tenenbaum:
  Multistability and Perceptual Inference. 1-24
  

• Kenneth D. Miller, Francesco Fumarola:
  Mathematical Equivalence of Two Common Forms of Firing Rate Models of Neural Networks. 25-31
  

• Jane X. Wang, Michal Zochowski:
  Interactions of Excitatory and Inhibitory Feedback Topologies in Facilitating Pattern Separation and Retrieval. 32-59
  
• Michael W. Spratling:
  Unsupervised Learning of Generative and Discriminative Weights Encoding Elementary Image Components in a Predictive Coding Model of Cortical Function. 60-103
  
• Michiel Hermans, Benjamin Schrauwen:
  Recurrent Kernel Machines: Computing with Infinite Echo State Networks. 104-133
  
• Karthik H. Shankar, Marc W. Howard:
  A Scale-Invariant Internal Representation of Time. 134-193
  
• Xiaojun Li, Yide Ma, Zhaobin Wang, Wenrui Yu:
  Geometry-Invariant Texture Retrieval Using a Dual-Output Pulse-Coupled Neural Network. 194-216
  
• Jianjun Tu, Hanlin He:
  Guaranteed Cost Synchronization of Chaotic Cellular Neural Networks with Time-Varying Delay. 217-233
  
• Ryu Takeda, Kazuhiro Nakadai, Toru Takahashi, Kazunori Komatani, Tetsuya Ogata, Hiroshi G. Okuno:
  Efficient Blind Dereverberation and Echo Cancellation Based on Independent Component Analysis for Actual Acoustic Signals. 234-272
  
• Halbert White, Jin Seo Cho:
  Higher-Order Approximations for Testing Neglected Nonlinearity. 273-287
  

Volume 24, Number 2, February 2012

• Uri Rokni, Haim Sompolinsky:
  How the Brain Generates Movement. 289-331
  

• Sukbin Lim, Mark S. Goldman:
  Noise Tolerance of Attractor and Feedforward Memory Models. 332-390
  
• Alfonso Renart, Mark C. W. van Rossum:
  Transmission of Population-Coded Information. 391-407
  
• Justin Dauwels, Theophane Weber, François B. Vialatte, Toshimitsu Musha, Andrzej Cichocki:
  Quantifying Statistical Interdependence, Part III: N > 2 Point Processes. 408-454
  
• Terry Elliott:
  Cross-Talk Induces Bifurcations in Nonlinear Models of Synaptic Plasticity. 455-522
  
• Dimitrije Markovic, Claudius Gros:
  Intrinsic Adaptation in Autonomous Recurrent Neural Networks. 523-540
  
• Jan Potworowski, Wit Jakuczun, Szymon Leski, Daniel K. Wójcik:
  Kernel Current Source Density Method. 541-575
  

Volume 24, Number 3, March 2012

• Norikazu Sugimoto, Masahiko Haruno, Kenji Doya, Mitsuo Kawato:
  MOSAIC for Multiple-Reward Environments. 577-606
  

• Michael Fairbank, Eduardo Alonso:
  Efficient Calculation of the Gauss-Newton Approximation of the Hessian Matrix in Neural Networks. 607-610
  

• Kristen Fortney, Douglas B. Tweed:
  Computational Advantages of Reverberating Loops for Sensorimotor Learning. 611-634
  
• Yuya Hattori, Michiyo Suzuki, Zu Soh, Yasuhiko Kobayashi, Toshio Tsuji:
  Theoretical and Evolutionary Parameter Tuning of Neural Oscillators with a Double-Chain Structure for Generating Rhythmic Signals. 635-675
  
• Yoram Baram:
  Noninvertibility, Chaotic Coding, and Chaotic Multiplexity of Synaptically Modulated Neural Firing. 676-699
  
• Aykut Erdem, Marcello Pelillo:
  Graph Transduction as a Noncooperative Game. 700-723
  
• Vladimir Aparin:
  Simple Modification of Oja Rule Limits L₁-Norm of Weight Vector and Leads to Sparse Connectivity. 724-743
  
• Ai Miyamoto, Jun Hasegawa, Mei Hong Zheng, Osamu Hoshino:
  Diffusive Feedback Influences on Hierarchical Information Processing. 744-770
  
• Kerstin Bunte, Michael Biehl, Barbara Hammer:
  A General Framework for Dimensionality-Reducing Data Visualization Mapping. 771-804
  
• Linqiang Pan, Jun Wang, Hendrik Jan Hoogeboom:
  Spiking Neural P Systems with Astrocytes. 805-825
  

Volume 24, Number 4, April 2012

• Charles F. Cadieu, Bruno A. Olshausen:
  Learning Intermediate-Level Representations of Form and Motion from Natural Movies. 827-866
  

• Bryan P. Tripp:
  Decorrelation of Spiking Variability and Improved Information Transfer Through Feedforward Divisive Normalization. 867-894
  
• Nir Nossenson, Hagit Messer:
  Optimal Sequential Detection of Stimuli from Multiunit Recordings Taken in Densely Populated Brain Regions. 895-938
  
• Hirokazu Tanaka, John W. Krakauer, Terrence J. Sejnowski:
  Generalization and Multirate Models of Motor Adaptation. 939-966
  
• Dmitriy Shutin, Christoph Zechner, Sanjeev R. Kulkarni, H. Vincent Poor:
  Regularized Variational Bayesian Learning of Echo State Networks with Delay&Sum Readout. 967-995
  
• Jérémie Cabessa, Hava T. Siegelmann:
  The Computational Power of Interactive Recurrent Neural Networks. 996-1019
  
• Takashi Kanamaru, Kazuyuki Aihara:
  Rewiring-Induced Chaos in Pulse-Coupled Neural Networks. 1020-1046
  
• Xiao-Tong Yuan, Shuicheng Yan:
  Nondegenerate Piecewise Linear Systems: A Finite Newton Algorithm and Applications in Machine Learning. 1047-1084
  
• Nicolas Gillis, François Glineur:
  Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization. 1085-1105
  

• Iahn Cajigas, Lakshminarayan Srinivasan:
  Erratum ("A State-Space Analysis for Reconstruction of Goal-Directed Movements Using Neural Signals" Neural Computation, Volume 18, Number 10, pp. 2465-2494). 1106-1107
  

Volume 24, Number 5, May 2012

• Todd K. Leen, Robert Friel:
  Stochastic Perturbation Methods for Spike-Timing-Dependent Plasticity. 1109-1146
  

• C. C. Alan Fung, K. Y. Michael Wong, He Wang, Si Wu:
  Dynamical Synapses Enhance Neural Information Processing: Gracefulness, Accuracy, and Mobility. 1147-1185
  
• Roger Ratcliff, Michael J. Frank:
  Reinforcement-Based Decision Making in Corticostriatal Circuits: Mutual Constraints by Neurocomputational and Diffusion Models. 1186-1229
  
• Kentaro Katahira, Kazuo Okanoya, Masato Okada:
  Statistical Mechanics of Reward-Modulated Learning in Decision-Making Networks. 1230-1270
  
• Michael Teichmann, Jan Wiltschut, Fred Henrik Hamker:
  Learning Invariance from Natural Images Inspired by Observations in the Primary Visual Cortex. 1271-1296
  
• Ramaswamy Savitha, Sundaram Suresh, N. Sundararajan:
  Metacognitive Learning in a Fully Complex-Valued Radial Basis Function Neural Network. 1297-1328
  
• Hsuan-Tien Lin, Ling Li:
  Reduction from Cost-Sensitive Ordinal Ranking to Weighted Binary Classification. 1329-1367
  
• Zhiyi Zhang:
  Entropy Estimation in Turing's Perspective. 1368-1389
  

Volume 24, Number 6, June 2012

• Bharath K. Sriperumbudur, Gert R. G. Lanckriet:
  A Proof of Convergence of the Concave-Convex Procedure Using Zangwill's Theory. 1391-1407
  

• Shinsuke Koyama:
  On the Relation Between Encoding and Decoding of Neuronal Spikes. 1408-1425
  
• Michelle Rudolph-Lilith, Mathieu Dubois, Alain Destexhe:
  Analytical Integrate-and-Fire Neuron Models with Conductance-Based Dynamics and Realistic Postsynaptic Potential Time Course for Event-Driven Simulation Strategies. 1426-1461
  
• Ke Yuan, Mark Girolami, Mahesan Niranjan:
  Markov Chain Monte Carlo Methods for State-Space Models with Point Process Observations. 1462-1486
  
• Lakshminarayan V. Chinta, Douglas B. Tweed:
  Adaptive Optimal Control Without Weight Transport. 1487-1518
  
• Joachim Hass, J. Michael Herrmann:
  The Neural Representation of Time: An Information-Theoretic Perspective. 1519-1552
  
• Samuel Gershman, Christopher D. Moore, Michael T. Todd, Kenneth A. Norman, Per B. Sederberg:
  The Successor Representation and Temporal Context. 1553-1568
  
• Miki Aoyagi, Kenji Nagata:
  Learning Coefficient of Generalization Error in Bayesian Estimation and Vandermonde Matrix-Type Singularity. 1569-1610
  

Volume 24, Number 7, July 2012

• Karim Chalak, Halbert White:
  Causality, Conditional Independence, and Graphical Separation in Settable Systems. 1611-1668
  

• Emre Ozgur Neftci, Bryan A. Toth, Giacomo Indiveri, Henry D. I. Abarbanel:
  Dynamic State and Parameter Estimation Applied to Neuromorphic Systems. 1669-1694
  
• Wenhao Zhang, Si Wu:
  Neural Information Processing with Feedback Modulations. 1695-1721
  
• Abd-Krim Seghouane, Shun-ichi Amari:
  Identification of Directed Influence: Granger Causality, Kullback-Leibler Divergence, and Complexity. 1722-1739
  
• Stuart Yarrow, Edward Challis, Peggy Seriès:
  Fisher and Shannon Information in Finite Neural Populations. 1740-1780
  
• Szonya Durant, Johannes M. Zanker:
  Variation in the Local Motion Statistics of Real-Life Optic Flow Scenes. 1781-1805
  
• Bernard M. C. Stienen, Konrad Schindler, Béatrice de Gelder:
  A Computational Feedforward Model Predicts Categorization of Masked Emotional Body Language for Longer, but Not for Shorter, Latencies. 1806-1821
  
• Ali Rodan, Peter Tino:
  Simple Deterministically Constructed Cycle Reservoirs with Regular Jumps. 1822-1852
  
• Hideitsu Hino, Nima Reyhani, Noboru Murata:
  Multiple Kernel Learning with Gaussianity Measures. 1853-1881
  
• Sohan Seth, José C. Príncipe:
  Conditional Association. 1882-1905
  
• Kailash Nadh, Christian R. Huyck:
  A Neurocomputational Approach to Prepositional Phrase Attachment Ambiguity Resolution. 1906-1925
  
• David J. Miller, Jayaram Raghuram, George Kesidis, Christopher M. Collins:
  Improved Generative Semisupervised Learning Based on Finely Grained Component-Conditional Class Labeling. 1926-1966
  

Volume 24, Number 8, August 2012

• Ruslan Salakhutdinov, Geoffrey E. Hinton:
  An Efficient Learning Procedure for Deep Boltzmann Machines. 1967-2006
  

• Ryan C. Kelly, Robert E. Kass:
  A Framework for Evaluating Pairwise and Multiway Synchrony Among Stimulus-Driven Neurons. 2007-2032
  
• Ueli Rutishauser, Jean-Jacques E. Slotine, Rodney J. Douglas:
  Competition Through Selective Inhibitory Synchrony. 2033-2052
  
• Philip Sterne:
  Information Recall Using Relative Spike Timing in a Spiking Neural Network. 2053-2077
  
• Eli Shlizerman, Philip Holmes:
  Neural Dynamics, Bifurcations, and Firing Rates in a Quadratic Integrate-and-Fire Model with a Recovery Variable. I: Deterministic Behavior. 2078-2118
  
• Haruo Hosoya:
  Multinomial Bayesian Learning for Modeling Classical and Nonclassical Receptive Field Properties. 2119-2150
  
• Misha Denil, Loris Bazzani, Hugo Larochelle, Nando de Freitas:
  Learning Where to Attend with Deep Architectures for Image Tracking. 2151-2184
  
• YoonSik Shim, Phil Husbands:
  Chaotic Exploration and Learning of Locomotion Behaviors. 2185-2222
  
• Il Memming Park, Sohan Seth, Murali Rao, José C. Príncipe:
  Strictly Positive-Definite Spike Train Kernels for Point-Process Divergences. 2223-2250
  

Volume 24, Number 9, September 2012

• Matthieu Gilson, Moritz Bürck, Anthony N. Burkitt, J. Leo van Hemmen:
  Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity. 2251-2279
  
• Alexander Mathis, Andreas V. M. Herz, Martin Stemmler:
  Optimal Population Codes for Space: Grid Cells Outperform Place Cells. 2280-2317
  
• Achilleas Koutsou, Chris Christodoulou, Guido Bugmann, Jacob Kanev:
  Distinguishing the Causes of Firing with the Membrane Potential Slope. 2318-2345
  
• Mathieu Galtier, Olivier D. Faugeras, Paul C. Bressloff:
  Hebbian Learning of Recurrent Connections: A Geometrical Perspective. 2346-2383
  
• Michael Eickenberg, Ryan J. Rowekamp, Minjoon Kouh, Tatyana O. Sharpee:
  Characterizing Responses of Translation-Invariant Neurons to Natural Stimuli: Maximally Informative Invariant Dimensions. 2384-2421
  
• Jonathan J. Hunt, Michael R. Ibbotson, Geoffrey J. Goodhill:
  Sparse Coding on the Spot: Spontaneous Retinal Waves Suffice for Orientation Selectivity. 2422-2433
  
• Morten Mørup, Mikkel N. Schmidt:
  Bayesian Community Detection. 2434-2456
  
• Jong-Hoon Ahn, In Young Kim:
  Learning the Dynamics of Objects by Optimal Functional Interpolation. 2457-2472
  
• Ramón Huerta, Shankar Vembu, José M. Amigó, Thomas Nowotny, Charles Elkan:
  Inhibition in Multiclass Classification. 2473-2507
  
• Farbound Tai, Hsuan-Tien Lin:
  Multilabel Classification with Principal Label Space Transformation. 2508-2542
  

Volume 24, Number 10, October 2012

• Gordon Pipa, Zhe Chen, Sergio Neuenschwander, Bruss Lima, Emery N. Brown:
  Mapping of Visual Receptive Fields by Tomographic Reconstruction. 2543-2578
  

• Tyler P. Lee, Dean V. Buonomano:
  Unsupervised Formation of Vocalization-Sensitive Neurons: A Cortical Model Based on Short-Term and Homeostatic Plasticity. 2579-2603
  
• Terry Elliott, Konstantinos Lagogiannis:
  The Rise and Fall of Memory in a Model of Synaptic Integration. 2604-2654
  
• Feraz Azhar, William S. Anderson:
  Predicting Single-Neuron Activity in Locally Connected Networks. 2655-2677
  
• Taro Toyoizumi:
  Nearly Extensive Sequential Memory Lifetime Achieved by Coupled Nonlinear Neurons. 2678-2699
  
• Takuma Tanaka, Toshio Aoyagi, Takeshi Kaneko:
  Replicating Receptive Fields of Simple and Complex Cells in Primary Visual Cortex in a Neuronal Network Model with Temporal and Population Sparseness and Reliability. 2700-2725
  
• Laurent U. Perrinet, Guillaume S. Masson:
  Motion-Based Prediction Is Sufficient to Solve the Aperture Problem. 2726-2750
  
• Valero Laparra, Sandra Jiménez, Gustavo Camps-Valls, Jesús Malo:
  Nonlinearities and Adaptation of Color Vision from Sequential Principal Curves Analysis. 2751-2788
  
• Takashi Takenouchi, Osamu Komori, Shinto Eguchi:
  An Extension of the Receiver Operating Characteristic Curve and AUC-Optimal Classification. 2789-2824
  

Volume 24, Number 11, November 2012

• Shereen Fouad, Peter Tino:
  Adaptive Metric Learning Vector Quantization for Ordinal Classification. 2825-2851
  

• Tao Hu, Alexander Genkin, Dmitri B. Chklovskii:
  A Network of Spiking Neurons for Computing Sparse Representations in an Energy-Efficient Way. 2852-2872
  
• Leslie G. Valiant:
  The Hippocampus as a Stable Memory Allocator for Cortex. 2873-2899
  
• A. Llera, Vicenç Gómez, Hilbert J. Kappen:
  Adaptive Classification on Brain-Computer Interfaces Using Reinforcement Signals. 2900-2923
  
• Nathan F. Lepora, Kevin N. Gurney:
  The Basal Ganglia Optimize Decision Making over General Perceptual Hypotheses. 2924-2945
  
• N. Andrew Browning:
  A Neural Circuit for Robust Time-to-Contact Estimation Based on Primate MST. 2946-2963
  
• Osamu Hoshino:
  Regulation of Ambient GABA Levels by Neuron-Glia Signaling for Reliable Perception of Multisensory Events. 2964-2993
  
• Varun Raj Kompella, Matthew D. Luciw, Jürgen Schmidhuber:
  Incremental Slow Feature Analysis: Adaptive Low-Complexity Slow Feature Updating from High-Dimensional Input Streams. 2994-3024
  
• Eduardo F. Mendes, Wenxin Jiang:
  On Convergence Rates of Mixtures of Polynomial Experts. 3025-3051
  
• Shahabeddin Vahdat, Mona Maneshi, Christophe Grova, Jean Gotman, Theodore E. Milner:
  Shared and Specific Independent Components Analysis for Between-Group Comparison. 3052-3090
  
• Elisa Benedetti, Marco Budinich:
  Neural Relax. 3091-3110
  

Volume 24, Number 12, December 2012

• G. Bard Ermentrout, Leon Glass, Bart E. Oldeman:
  The Shape of Phase-Resetting Curves in Oscillators with a Saddle Node on an Invariant Circle Bifurcation. 3111-3125
  

• Alan Schoen, Ali Salehiomran, Matthew E. Larkum, Erik P. Cook:
  A Compartmental Model of Linear Resonance and Signal Transfer in Dendrites. 3126-3144
  
• Thibaud Taillefumier, Jonathan Touboul, Marcelo Magnasco:
  Exact Event-Driven Implementation for Recurrent Networks of Stochastic Perfect Integrate-and-Fire Neurons. 3145-3180
  
• Ameera X. Patel, Naomi Murphy, Denis Burdakov:
  Tuning Low-Voltage-Activated A-Current for Silent Gain Modulation. 3181-3190
  
• Kukjin Kang, Shun-ichi Amari:
  Self-Consistent Learning of the Environment. 3191-3212
  
• Yimin Nie, Masami Tatsuno:
  Information-Geometric Measures for Estimation of Connection Weight Under Correlated Inputs. 3213-3245
  
• Tobias Strauss, Welf Wustlich, Roger Labahn:
  Design Strategies for Weight Matrices of Echo State Networks. 3246-3276
  
• Guy Ben-Yosef, Ohad Ben-Shahar:
  Tangent Bundle Curve Completion with Locally Connected Parallel Networks. 3277-3316
  
• Adam S. Charles, Pierre Garrigues, Christopher J. Rozell:
  A Common Network Architecture Efficiently Implements a Variety of Sparsity-Based Inference Problems. 3317-3339
  
• Guoqiang Zhang, Richard Heusdens:
  Linear Coordinate-Descent Message Passing for Quadratic Optimization. 3340-3370
  
• Guangcan Liu, Shuicheng Yan:
  Active Subspace: Toward Scalable Low-Rank Learning. 3371-3394
  

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