Journal: Neural Computation

Volume 15, Issue 9

2013 -- 2027Theodore Holmes Bullock. Have Brain Dynamics Evolved? Should We Look for Unique Dynamics in the Sapient Species?
2029 -- 2049David Philipona, J. K. O Regan, Jean-Pierre Nadal. Is There Something Out There? Inferring Space from Sensorimotor Dependencies
2051 -- 2065Volodymyr Ivanchenko, Robert A. Jacobs. A Developmental Approach Aids Motor Learning
2067 -- 2090J. A. Turner, K. C. Anderson, Ralph M. Siegel. Cell Responsiveness in Macaque Superior Temporal Polysensory Area Measured by Temporal Discriminants
2091 -- 2113Michael H. Herzog, Udo A. Ernst, Axel Etzold, Christian W. Eurich. Local Interactions in Neural Networks Explain Global Effects in Gestalt Processing and Masking
2115 -- 2127Emmanuel Guigon. Computing with Populations of Monotonically Tuned Neurons
2129 -- 2146Marc de Kamps. A Simple and Stable Numerical Solution for the Population Density Equation
2147 -- 2177Laurenz Wiskott. Slow Feature Analysis: A Theoretical Analysis of Optimal Free Responses
2179 -- 2198Masaki Nomura, Tomoki Fukai, Toshio Aoyagi. Synchrony of Fast-Spiking Interneurons Interconnected by GABAergic and Electrical Synapses
2199 -- 2226Yoshifusa Ito. Activation Functions Defined on Higher-Dimensional Spaces for Approximation on Compact Sets with and without Scaling
2227 -- 225Wei Chu, S. Sathiya Keerthi, Chong Jin Ong. Bayesian Trigonometric Support Vector Classifier

Volume 15, Issue 8

1715 -- 1749Blaise Agüera y Arcas, Adrienne L. Fairhall, William Bialek. Computation in a Single Neuron: Hodgkin and Huxley Revisited
1751 -- 1759Christoph Kayser, Konrad P. Körding, Peter König. Learning the Nonlinearity of Neurons from Natural Visual Stimuli
1761 -- 1788Benjamin Lindner, André Longtin, Adi R. Bulsara. Analytic Expressions for Rate and CV of a Type I Neuron Driven by White Gaussian Noise
1789 -- 1807Blaise Agüera y Arcas, Adrienne L. Fairhall. What Causes a Neuron to Spike?
1809 -- 1841Oren Shriki, David Hansel, Haim Sompolinsky. Rate Models for Conductance-Based Cortical Neuronal Networks
1843 -- 1864Michael J. Barber, John W. Clark, Charles H. Anderson. Neural Representation of Probabilistic Information
1865 -- 1896Carsten Prodöhl, Rolf P. Würtz, Christoph von der Malsburg. Learning the Gestalt Rule of Collinearity from Object Motion
1897 -- 1929Barbara Hammer, Peter Tiño. Recurrent Neural Networks with Small Weights Implement Definite Memory Machines
1931 -- 1957Peter Tiño, Barbara Hammer. Architectural Bias in Recurrent Neural Networks: Fractal Analysis
1959 -- 1989Faming Liang. An Effective Bayesian Neural Network Classifier with a Comparison Study to Support Vector Machine
1991 -- 2011Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski. Variational Bayesian Learning of ICA with Missing Data

Volume 15, Issue 7

1439 -- 1475Emilio Salinas. Background Synaptic Activity as a Switch Between Dynamical States in a Network
1477 -- 1480Trevor Hastie, Robert Tibshirani, Jerome Friedman. Note on Comparison of Model Selection for Regression by Vladimir Cherkassky and Yunqian Ma
1481 -- 1510Gal Chechik. Spike-Timing-Dependent Plasticity and Relevant Mutual Information Maximization
1511 -- 1523Eugene M. Izhikevich, Niraj S. Desai. Relating STDP to BCM
1525 -- 1557James A. Bednar, Risto Miikkulainen. Learning Innate Face Preferences
1559 -- 1588Heiko Wersing, Edgar Körner. Learning Optimized Features for Hierarchical Models of Invariant Object Recognition
1589 -- 1604Sambu Seo, Klaus Obermayer. Soft Learning Vector Quantization
1605 -- 1619Rong Long Wang, Zheng Tang, Qi Ping Cao. An Efficient Approximation Algorithm for Finding a Maximum Clique Using Hopfield Network Learning
1621 -- 1640Armando Bazzani, Daniel Remondini, Nathan Intrator, Gastone C. Castellani. The Effect of Noise on a Class of Energy-Based Learning Rules
1641 -- 1666Taehwan Kim, Tülay Adali. Approximation by Fully Complex Multilayer Perceptrons
1667 -- 1689S. Sathiya Keerthi, Chih-Jen Lin. Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
1691 -- 1714Vladimir Cherkassky, Yunqian Ma. Comparison of Model Selection for Regression

Volume 15, Issue 6

1191 -- 1253Liam Paninski. Estimation of Entropy and Mutual Information
1255 -- 1320Guilherme De A. Barreto, Aluizio F. R. Araújo, Stefan C. Kremer. A Taxonomy for Spatiotemporal Connectionist Networks Revisited: The Unsupervised Case
1321 -- 1340Yuval Aviel, C. Mehring, Moshe Abeles, David Horn. On Embedding Synfire Chains in a Balanced Network
1341 -- 1372Naoki Masuda, Kazuyuki Aihara. Ergodicity of Spike Trains: When Does Trial Averaging Make Sense?
1373 -- 1396Mikhail Belkin, Partha Niyogi. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
1397 -- 1437Tong Zhang. Leave-One-Out Bounds for Kernel Methods

Volume 15, Issue 5

965 -- 991Anne C. Smith, Emery N. Brown. Estimating a State-Space Model from Point Process Observations
993 -- 1012Si Wu, Danmei Chen, Mahesan Niranjan, Shun-ichi Amari. Sequential Bayesian Decoding with a Population of Neurons
1013 -- 1033Sumio Watanabe, Shun-ichi Amari. Learning Coefficients of Layered Models When the True Distribution Mismatches the Singularities
1035 -- 1061Toshio Aoyagi, Takashi Takekawa, Tomoki Fukai. Gamma Rhythmic Bursts: Coherence Control in Networks of Cortical Pyramidal Neurons
1063 -- 1088James M. Coughlan, Alan L. Yuille. Manhattan World: Orientation and Outlier Detection by Bayesian Inference
1089 -- 1124Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe, Klaus-Robert Müller. Kernel-Based Nonlinear Blind Source Separation
1125 -- 1142Zheng Tang, XuGang Wang, Hiroki Tamura, Masahiro Ishii. An Algorithm of Supervised Learning for Multilayer Neural Networks
1143 -- 1171Jan C. Wiemer. The Time-Organized Map Algorithm: Extending the Self-Organizing Map to Spatiotemporal Signals
1173 -- 1189Wenlian Lu, Tianping Chen. New Conditions on Global Stability of Cohen-Grossberg Neural Networks

Volume 15, Issue 4

735 -- 759Chun-Hui Mo, Christof Koch. Modeling Reverse-Phi Motion-Selective Neurons in Cortex: Double Synaptic-Veto Mechanism
761 -- 781Robert A. Jacobs, Melissa Dominguez. Visual Development and the Acquisition of Motion Velocity Sensitivities
783 -- 810Paul E. Patton, Thomas J. Anastasio. Modeling Cross-Modal Enhancement and Modality-Specific Suppression in Multisensory Neurons
811 -- 830Jan Reutimann, Michele Giugliano, Stefano Fusi. Event-Driven Simulation of Spiking Neurons with Stochastic Dynamics
831 -- 864Bernd Porr, Florentin Wörgötter. Isotropic Sequence Order Learning
865 -- 884Bernd Porr, Christian von Ferber, Florentin Wörgötter. ISO Learning Approximates a Solution to the Inverse-Controller Problem in an Unsupervised Behavioral Paradigm
885 -- 913Ranit Aharonov, Lior Segev, Isaac Meilijson, Eytan Ruppin. Localization of Function via Lesion Analysis
915 -- 936Alan L. Yuille, Anand Rangarajan. The Concave-Convex Procedure
937 -- 963Terry Elliott. An Analysis of Synaptic Normalization in a General Class of Hebbian Models

Volume 15, Issue 3

509 -- 538Christoph Börgers, Nancy Kopell. Synchronization in Networks of Excitatory and Inhibitory Neurons with Sparse, Random Connectivity
539 -- 547Shawn Mikula, Ernst Niebur. The Effects of Input Rate and Synchrony on a Coincidence Detector: Analytical Solution
549 -- 564Geoffrey J. Goodhill. A Theoretical Model of Axon Guidance by the Robo Code
565 -- 596Daniel J. Amit, Gianluigi Mongillo. Spike-Driven Synaptic Dynamics Generating Working Memory States
597 -- 620Hideyuki Câteau, Tomoki Fukai. A Stochastic Method to Predict the Consequence of Arbitrary Forms of Spike-Timing-Dependent Plasticity
621 -- 638Richard H. R. Hahnloser, H. Sebastian Seung, Jean-Jacques E. Slotine. Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks
639 -- 662Zhang Yi, K. K. Tan, T. H. Lee. Multistability Analysis for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions
663 -- 691Jarmo Hurri, Aapo Hyvärinen. Simple-Cell-Like Receptive Fields Maximize Temporal Coherence in Natural Video
693 -- 733Jirí Síma, Pekka Orponen. Continuous-Time Symmetric Hopfield Nets Are Computationally Universal

Volume 15, Issue 2

253 -- 278Maurice J. Chacron, Khashayar Pakdaman, André Longtin. Interspike Interval Correlations, Memory, Adaptation, and Refractoriness in a Leaky Integrate-and-Fire Model with Threshold Fatigue
279 -- 308Romain Brette, Emmanuel Guigon. Reliability of Spike Timing Is a General Property of Spiking Model Neurons
309 -- 329Brigitte Quenet, David Horn. The Dynamic Neural Filter: A Binary Model of Spatiotemporal Coding
331 -- 348Malte Boegershausen, Pascal Suter, Shih-Chii Liu. Modeling Short-Term Synaptic Depression in Silicon
349 -- 396Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao, Kjersti Engan, Te-Won Lee, Terrence J. Sejnowski. Dictionary Learning Algorithms for Sparse Representation
397 -- 417Eizaburo Doi, Toshio Inui, Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski. Spatiochromatic Receptive Field Properties Derived from Information-Theoretic Analyses of Cone Mosaic Responses to Natural Scenes
419 -- 439Fabian J. Theis, Andreas Jung, Carlos García Puntonet, Elmar Wolfgang Lang. Linear Geometric ICA: Fundamentals and Algorithms
441 -- 454Xiaohui Xie, H. Sebastian Seung. Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network
455 -- 468Irwin W. Sandberg. Indexed Families of Functionals and Gaussian Radial Basis Functions
469 -- 485Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse. Efficient Greedy Learning of Gaussian Mixture Models
487 -- 507S. Sathiya Keerthi, Shirish Krishnaj Shevade. SMO Algorithm for Least-Squares SVM Formulation

Volume 15, Issue 12

2727 -- 2778Jirí Síma, Pekka Orponen. General-Purpose Computation with Neural Networks: A Survey of Complexity Theoretic Results
2779 -- 2822Carlo R. Laing, André Longtin. Dynamics of Deterministic and Stochastic Paired Excitatory-Inhibitory Delayed Feedback
2823 -- 2842Shigeru Shinomoto, Keisetsu Shima, Jun Tanji. Differences in Spiking Patterns Among Cortical Neurons
2843 -- 2862Barbara J. Breen, William C. Gerken, Robert J. Butera. Hybrid Integrate-and-Fire Model of a Bursting Neuron
2863 -- 2882Lars Stollenwerk, Mathias Bode. Lateral Neural Model of Binocular Rivalry
2883 -- 2908Gopathy Purushothaman, Haluk Ögmen, Harold E. Bedell. Suprathreshold Intrinsic Dynamics of the Human Visual System
2909 -- 2929Simone Fiori. Closed-Form Expressions of Some Stochastic Adapting Equations for Nonlinear Adaptive Activation Function Neurons
2931 -- 2942Jens Kaae Christensen, Kasper Lamberth, Morten Nielsen, Claus Lundegaard, Peder Worning, Sanne Lise Lauemøller, Søren Buus, Søren Brunak, Ole Lund. Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach

Volume 15, Issue 11

2483 -- 2522Bard Ermentrout. Dynamical Consequences of Fast-Rising, Slow-Decaying Synapses in Neuronal Networks
2523 -- 2564Jan Benda, Andreas V. M. Herz. A Universal Model for Spike-Frequency Adaptation
2565 -- 2576Matthew C. Wiener. An Adjustment to the Time-Rescaling Method for Application to Short-Trial Spike Train Data
2577 -- 2618Michael Rudolph, Alain Destexhe. Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes
2619 -- 2642David J. Reinkensmeyer, Mario G. Iobbi, Leonard E. Kahn, Derek G. Kamper, Craig D. Takahashi. Modeling Reaching Impairment After Stroke Using a Population Vector Model of Movement Control That Incorporates Neural Firing-Rate Variability
2643 -- 2681Kai-Min Chung, Wei-Chun Kao, Chia-Liang Sun, Li-Lun Wang, Chih-Jen Lin. Radius Margin Bounds for Support Vector Machines with the RBF Kernel
2683 -- 2703Junshui Ma, James Theiler, Simon Perkins. Accurate On-line Support Vector Regression
2705 -- 2726Hussein A. Abbass. Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms

Volume 15, Issue 10

2255 -- 2279Maneesh Sahani, Peter Dayan. Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity
2281 -- 2306Nicolas Brunel, Peter E. Latham. Firing Rate of the Noisy Quadratic Integrate-and-Fire Neuron
2307 -- 2337Zhiyi Chi, Peter L. Rauske, Daniel Margoliash. Pattern Filtering for Detection of Neural Activity, with Examples from HVc Activity During Sleep in Zebra Finches
2339 -- 2358Shawn Mikula, Ernst Niebur. Synaptic Depression Leads to Nonmonotonic Frequency Dependence in the Coincidence Detector
2359 -- 2377Liqiang Zhu, Ying-Cheng Lai, Frank Hoppensteadt, Jiping He. Probing Changes in Neural Interaction During Adaptation
2379 -- 2397Naoyuki Sato, Yoko Yamaguchi. Memory Encoding by Theta Phase Precession in the Hippocampal Network
2399 -- 2418Songnian Zhao, Xiaoyun Xiong, Guozheng Yao, Zhi Fu. A Computational Model as Neurodecoder Based on Synchronous Oscillation in the Visual Cortex
2419 -- 2455Ivan Tyukin, Cees van Leeuwen, Danil V. Prokhorov. Parameter Estimation of Sigmoid Superpositions: Dynamical System Approach
2457 -- 2481Konstantinos Koutroumbas. On the Partitioning Capabilities of Feedforward Neural Networks with Sigmoid Nodes

Volume 15, Issue 1

1 -- 56David Hansel, Germán Mato. Asynchronous States and the Emergence of Synchrony in Large Networks of Interacting Excitatory and Inhibitory Neurons
57 -- 65Jong-Hoon Ahn, Jong-Hoon Oh. A Constrained EM Algorithm for Principal Component Analysis
67 -- 101Alexandre Kuhn, Ad Aertsen, Stefan Rotter. Higher-Order Statistics of Input Ensembles and the Response of Simple Model Neurons
103 -- 125Naoki Masuda, Kazuyuki Aihara. Duality of Rate Coding and Temporal Coding in Multilayered Feedforward Networks
127 -- 142Shun-ichi Amari, Hiroyuki Nakahara, Si Wu, Yutaka Sakai. Synchronous Firing and Higher-Order Interactions in Neuron Pool
143 -- 159Henry C. Tuckwell, Roger Rodriguez, Frederic Y. M. Wan. Determination of Firing Times for the Stochastic Fitzhugh-Nagumo Neuronal Model
161 -- 182Melissa Dominguez, Robert A. Jacobs. Developmental Constraints Aid the Acquisition of Binocular Disparity Sensitivities
183 -- 212Xiaoqin Zeng, Daniel S. Yeung. A Quantified Sensitivity Measure for Multilayer Perceptron to Input Perturbation
213 -- 252Rizwan Choudrey, Stephen Roberts. Variational Mixture of Bayesian Independent Component Analyzers